measles_data_analysis.ipynb

{
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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#WHO-data\" data-toc-modified-id=\"WHO-data-1\">WHO data</a></span><ul class=\"toc-item\"><li><span><a href=\"#measles-cases-data\" data-toc-modified-id=\"measles-cases-data-1.1\">measles cases data</a></span></li><li><span><a href=\"#vaccination-coverage-data\" data-toc-modified-id=\"vaccination-coverage-data-1.2\">vaccination coverage data</a></span></li></ul></li><li><span><a href=\"#Population-data\" data-toc-modified-id=\"Population-data-2\">Population data</a></span></li><li><span><a href=\"#Data-Exploration\" data-toc-modified-id=\"Data-Exploration-3\">Data Exploration</a></span><ul class=\"toc-item\"><li><span><a href=\"#merging-dataframes\" data-toc-modified-id=\"merging-dataframes-3.1\">merging dataframes</a></span></li><li><span><a href=\"#aggregated-distributions-VS-time\" data-toc-modified-id=\"aggregated-distributions-VS-time-3.2\">aggregated distributions VS time</a></span></li><li><span><a href=\"#largest-outbreaks\" data-toc-modified-id=\"largest-outbreaks-3.3\">largest outbreaks</a></span></li><li><span><a href=\"#prevalence-and-vacc-VS-t\" data-toc-modified-id=\"prevalence-and-vacc-VS-t-3.4\">prevalence and vacc VS t</a></span></li><li><span><a href=\"#dist-of-correlation(prevalence(t),vacc(t)-)\" data-toc-modified-id=\"dist-of-correlation(prevalence(t),vacc(t)-)-3.5\">dist of correlation(prevalence(t),vacc(t) )</a></span></li></ul></li><li><span><a href=\"#NA\\EU\" data-toc-modified-id=\"NA\\EU-4\">NA\\EU</a></span><ul class=\"toc-item\"><li><span><a href=\"#full-data-plot\" data-toc-modified-id=\"full-data-plot-4.1\">full data plot</a></span></li><li><span><a href=\"#averages-plot\" data-toc-modified-id=\"averages-plot-4.2\">averages plot</a></span></li></ul></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <big>\n",
    "        <b>\n",
    "            MEASLES DATA ANALYSIS \n",
    "        </b>\n",
    "    </big>\n",
    "\n",
    "</center>\n",
    "\n",
    "<center>\n",
    "        here we analyze data from public health authorities on the recent measles outbreaks \n",
    "</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# packages to plot\n",
    "import seaborn as sns\n",
    "sns.set_context('notebook')\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import gc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# WHO data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "[Measles](https://en.wikipedia.org/wiki/Measles)\n",
    "is one of the most infectious disease, with a basic reproductive number [$R_0$ in the range 12-18](https://en.wikipedia.org/wiki/Basic_reproduction_number)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
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   },
   "source": [
    "## measles cases data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "We got the `measlescasesbycountrybymonth.xlsx` dataset from [WHO Measles and Rubella Surveillance Data](http://www.who.int/immunization/monitoring_surveillance/burden/vpd/surveillance_type/active/measles_monthlydata/en/) - \n",
    "mind that there are _some discrepancy_ with the official data released by the country-specific institutions for disease control (CDC, etc...);      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1746, 16)\n"
     ]
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>ISO3</th>\n",
       "      <th>Country</th>\n",
       "      <th>Year</th>\n",
       "      <th>January</th>\n",
       "      <th>February</th>\n",
       "      <th>March</th>\n",
       "      <th>April</th>\n",
       "      <th>May</th>\n",
       "      <th>June</th>\n",
       "      <th>July</th>\n",
       "      <th>August</th>\n",
       "      <th>September</th>\n",
       "      <th>October</th>\n",
       "      <th>November</th>\n",
       "      <th>December</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AFR</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2011</td>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AFR</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2012</td>\n",
       "      <td>373.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>381.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>357.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>571.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AFR</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2013</td>\n",
       "      <td>725.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>726.0</td>\n",
       "      <td>695.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>660.0</td>\n",
       "      <td>563.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>91.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AFR</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2014</td>\n",
       "      <td>1161.0</td>\n",
       "      <td>1101.0</td>\n",
       "      <td>1319.0</td>\n",
       "      <td>1094.0</td>\n",
       "      <td>1754.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>1484.0</td>\n",
       "      <td>1429.0</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AFR</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2015</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Region ISO3 Country  Year  January  February   March   April     May  \\\n",
       "0    AFR  AGO  Angola  2011     17.0      19.0    37.0    41.0    11.0   \n",
       "1    AFR  AGO  Angola  2012    373.0     289.0   381.0   393.0   546.0   \n",
       "2    AFR  AGO  Angola  2013    725.0     646.0   734.0   491.0   726.0   \n",
       "3    AFR  AGO  Angola  2014   1161.0    1101.0  1319.0  1094.0  1754.0   \n",
       "4    AFR  AGO  Angola  2015      4.0      15.0     0.0     0.0     3.0   \n",
       "\n",
       "     June    July  August  September  October  November  December  \n",
       "0     8.0     5.0     4.0       32.0     10.0       8.0       0.0  \n",
       "1   357.0   382.0   553.0      571.0    367.0     216.0      42.0  \n",
       "2   695.0   680.0   660.0      563.0    288.0     265.0      91.0  \n",
       "3  1150.0  1484.0  1429.0     1098.0    373.0      27.0      12.0  \n",
       "4     3.0     4.0    13.0       40.0     14.0       5.0       2.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "who_cases_df = pd.read_excel('./datasets/measlescasesbycountrybymonth.xls',sheet_name='WEB')\n",
    "\n",
    "print(who_cases_df.shape)\n",
    "\n",
    "who_cases_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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    "hidden": true
   },
   "source": [
    "cleaning the df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1746, 4)\n",
      "ISO_code    0\n",
      "Country     0\n",
      "year        0\n",
      "cases       0\n",
      "dtype: int64\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>Country</th>\n",
       "      <th>year</th>\n",
       "      <th>cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2011</td>\n",
       "      <td>192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2012</td>\n",
       "      <td>4470.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2013</td>\n",
       "      <td>6564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2014</td>\n",
       "      <td>12002.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>2015</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "  ISO_code Country  year    cases\n",
       "0      AGO  Angola  2011    192.0\n",
       "1      AGO  Angola  2012   4470.0\n",
       "2      AGO  Angola  2013   6564.0\n",
       "3      AGO  Angola  2014  12002.0\n",
       "4      AGO  Angola  2015    103.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add sum column in cases df\n",
    "who_cases_df['cases']  = who_cases_df.iloc[:,4:16].sum(axis=1)\n",
    "\n",
    "# drop monthly data - we won't use such resolution for now\n",
    "who_cases_df.drop(['Region','January', 'February', 'March', 'April',\n",
    "                   'May', 'June', 'July', 'August',\n",
    "                   'September', 'October', 'November','December'],axis=1,inplace=True)\n",
    "\n",
    "# fix name of column with ISO code \n",
    "who_cases_df.columns = ['ISO_code', 'Country', 'year', 'cases']\n",
    "\n",
    "print(who_cases_df.shape)\n",
    "print(who_cases_df.isnull().sum())\n",
    "who_cases_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "source": [
    "distribution of N. data time-points, per country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "cell_style": "split",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9    194\n",
       "Name: ISO_code, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  all countries have 9 data points \n",
    "who_cases_df.ISO_code.value_counts().value_counts() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cell_style": "split",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2011\n",
      "2019\n"
     ]
    }
   ],
   "source": [
    "# ...in the time-range:\n",
    "print(who_cases_df.year.min())\n",
    "print(who_cases_df.year.max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## vaccination coverage data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "[WHO data on Immunization, Vaccines and Biologicals](http://www.who.int/immunization/monitoring_surveillance/data/en/), \n",
    "where you can find the word-wide coverage for \n",
    "[MCV dose 1](http://apps.who.int/immunization_monitoring/globalsummary/timeseries/tscoveragemcv1.html) \n",
    "and\n",
    "[MCV dose 2](http://apps.who.int/immunization_monitoring/globalsummary/timeseries/tscoveragemcv2.html) - \n",
    "for the time being we focus only on the 1st dose \n",
    "(as it should already give most of the immunization, and it's therefore enough for our purposes)\n",
    "\n",
    "we consider the `Official country reported coverage estimates` -- which differ, for some countries from the `country reported administrative data`\n",
    "\n",
    "\n",
    "(* indicates the country reported above  or equal to 100% coverage.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2236, 3)\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>vacc_cov</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2004</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2005</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2006</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2007</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2008</td>\n",
       "      <td>39.0</td>\n",
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      ],
      "text/plain": [
       "    ISO_code  year  vacc_cov\n",
       "158      AFG  2004       2.0\n",
       "159      AFG  2005      13.0\n",
       "160      AFG  2006      26.0\n",
       "161      AFG  2007      16.0\n",
       "162      AFG  2008      39.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "who_vacc_df = pd.read_excel('./datasets/coverage_series.xls',sheet_name='world_coverage')\n",
    "\n",
    "# select for vaccine dose\n",
    "# who_vacc_df = who_vacc_df[who_vacc_df.Vaccine=='MCV1']\n",
    "who_vacc_df = who_vacc_df[who_vacc_df.Vaccine=='MCV2']\n",
    "\n",
    "# drop useless cols \n",
    "who_vacc_df.drop(['Cname','WHO_REGION','Continent','Vaccine','Asterisc'],axis=1,inplace=True)\n",
    "\n",
    "\n",
    "# fix col names\n",
    "who_vacc_df.columns = ['ISO_code', 'year', 'vacc_cov']\n",
    "\n",
    "# MCV1 VS MCV2\n",
    "# who_vacc_df = who_vacc_df[(who_vacc_df.Vaccine=='MCV1') | (who_vacc_df.Vaccine=='MCV2')]\n",
    "# who_vacc_df.drop(['Cname','WHO_REGION','Continent','Asterisc'],axis=1,inplace=True) \n",
    "\n",
    "print(who_vacc_df.shape)\n",
    "who_vacc_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "deletable": false,
    "editable": false,
    "hidden": true,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MCV1      20\n",
      "MCV2    4426\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "392"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# quick check for weird data 'MCV2' > 'MCV1' !!!\n",
    "grouped_who_vacc_df = who_vacc_df.set_index(['ISO_code','Year'])\n",
    "grouped_who_vacc_df = grouped_who_vacc_df.pivot(columns='Vaccine')\n",
    "grouped_who_vacc_df.columns = ['MCV1','MCV2']\n",
    "\n",
    "print(grouped_who_vacc_df.isnull().sum())\n",
    "\n",
    "grouped_who_vacc_df['weird'] = grouped_who_vacc_df.MCV2 > grouped_who_vacc_df.MCV1\n",
    "grouped_who_vacc_df.weird.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 228,
       "width": 903
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,3))\n",
    "sns.countplot(who_vacc_df.year,color='k')\n",
    "plt.ylabel('N. reporting contries')\n",
    "plt.xticks(rotation=40);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "source": [
    "check whether countries are the same: \n",
    "\n",
    "(better to use the `ISO code`, as the `country names` are not the same across the 2 datasets - mainly becasue of articles)\n",
    "\n",
    "(mind that there are [193 UN recognized countries](https://www.countries-ofthe-world.com/all-countries.html))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "countries in prevalence df: 194\n",
      "countries in vaccination df: 170\n",
      "countries in who_cases_df, not in who_vacc_df\n",
      "BEN\n",
      "CAF\n",
      "CIV\n",
      "CMR\n",
      "COD\n",
      "COG\n",
      "COM\n",
      "ETH\n",
      "GAB\n",
      "GIN\n",
      "GNB\n",
      "GNQ\n",
      "LBR\n",
      "MDG\n",
      "MLI\n",
      "MRT\n",
      "NGA\n",
      "SSD\n",
      "TCD\n",
      "TGO\n",
      "UGA\n",
      "SOM\n",
      "IRL\n",
      "VUT\n"
     ]
    }
   ],
   "source": [
    "# check number of countries\n",
    "\n",
    "print('countries in prevalence df:',who_cases_df.ISO_code.nunique())\n",
    "print('countries in vaccination df:',who_vacc_df.ISO_code.nunique())\n",
    "\n",
    "# it seems there are no problems...\n",
    "\n",
    "# print('countries in who_vacc_df, not in who_cases_df')\n",
    "# [print(my_c) for my_c in who_vacc_df.ISO_code.unique() if my_c not in who_cases_df.ISO_code.unique()];\n",
    "\n",
    "\n",
    "print('countries in who_cases_df, not in who_vacc_df')\n",
    "[print(my_c) for my_c in who_cases_df.ISO_code.unique() if my_c not in who_vacc_df.ISO_code.unique()];"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "source": [
    "filter also for min year, since when incidence data start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2011\n",
      "1971\n",
      "2011\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1146, 3)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(who_cases_df.year.min())\n",
    "print(who_vacc_df.year.min())\n",
    "\n",
    "who_vacc_df = who_vacc_df[who_vacc_df.year >= who_cases_df.year.min()]\n",
    "\n",
    "# double check\n",
    "print(who_vacc_df.year.min())\n",
    "who_vacc_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Population data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "we got the population from the [work bank data platform](http://data.worldbank.org/indicator/SP.POP.TOTL?end=2016&start=2011&view=chart&year=1964)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(264, 63)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>...</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>Unnamed: 63</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aruba</th>\n",
       "      <td>ABW</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>54211.0</td>\n",
       "      <td>55438.0</td>\n",
       "      <td>56225.0</td>\n",
       "      <td>56695.0</td>\n",
       "      <td>57032.0</td>\n",
       "      <td>57360.0</td>\n",
       "      <td>57715.0</td>\n",
       "      <td>...</td>\n",
       "      <td>101669.0</td>\n",
       "      <td>102046.0</td>\n",
       "      <td>102560.0</td>\n",
       "      <td>103159.0</td>\n",
       "      <td>103774.0</td>\n",
       "      <td>104341.0</td>\n",
       "      <td>104872.0</td>\n",
       "      <td>105366.0</td>\n",
       "      <td>105845.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>AFG</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>8996973.0</td>\n",
       "      <td>9169410.0</td>\n",
       "      <td>9351441.0</td>\n",
       "      <td>9543205.0</td>\n",
       "      <td>9744781.0</td>\n",
       "      <td>9956320.0</td>\n",
       "      <td>10174836.0</td>\n",
       "      <td>...</td>\n",
       "      <td>29185507.0</td>\n",
       "      <td>30117413.0</td>\n",
       "      <td>31161376.0</td>\n",
       "      <td>32269589.0</td>\n",
       "      <td>33370794.0</td>\n",
       "      <td>34413603.0</td>\n",
       "      <td>35383128.0</td>\n",
       "      <td>36296400.0</td>\n",
       "      <td>37172386.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>AGO</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>5454933.0</td>\n",
       "      <td>5531472.0</td>\n",
       "      <td>5608539.0</td>\n",
       "      <td>5679458.0</td>\n",
       "      <td>5735044.0</td>\n",
       "      <td>5770570.0</td>\n",
       "      <td>5781214.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23356246.0</td>\n",
       "      <td>24220661.0</td>\n",
       "      <td>25107931.0</td>\n",
       "      <td>26015780.0</td>\n",
       "      <td>26941779.0</td>\n",
       "      <td>27884381.0</td>\n",
       "      <td>28842484.0</td>\n",
       "      <td>29816748.0</td>\n",
       "      <td>30809762.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>ALB</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>1608800.0</td>\n",
       "      <td>1659800.0</td>\n",
       "      <td>1711319.0</td>\n",
       "      <td>1762621.0</td>\n",
       "      <td>1814135.0</td>\n",
       "      <td>1864791.0</td>\n",
       "      <td>1914573.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2913021.0</td>\n",
       "      <td>2905195.0</td>\n",
       "      <td>2900401.0</td>\n",
       "      <td>2895092.0</td>\n",
       "      <td>2889104.0</td>\n",
       "      <td>2880703.0</td>\n",
       "      <td>2876101.0</td>\n",
       "      <td>2873457.0</td>\n",
       "      <td>2866376.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>AND</td>\n",
       "      <td>Population, total</td>\n",
       "      <td>SP.POP.TOTL</td>\n",
       "      <td>13411.0</td>\n",
       "      <td>14375.0</td>\n",
       "      <td>15370.0</td>\n",
       "      <td>16412.0</td>\n",
       "      <td>17469.0</td>\n",
       "      <td>18549.0</td>\n",
       "      <td>19647.0</td>\n",
       "      <td>...</td>\n",
       "      <td>84449.0</td>\n",
       "      <td>83747.0</td>\n",
       "      <td>82427.0</td>\n",
       "      <td>80774.0</td>\n",
       "      <td>79213.0</td>\n",
       "      <td>78011.0</td>\n",
       "      <td>77297.0</td>\n",
       "      <td>77001.0</td>\n",
       "      <td>77006.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 63 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Code     Indicator Name Indicator Code       1960  \\\n",
       "Country Name                                                             \n",
       "Aruba                 ABW  Population, total    SP.POP.TOTL    54211.0   \n",
       "Afghanistan           AFG  Population, total    SP.POP.TOTL  8996973.0   \n",
       "Angola                AGO  Population, total    SP.POP.TOTL  5454933.0   \n",
       "Albania               ALB  Population, total    SP.POP.TOTL  1608800.0   \n",
       "Andorra               AND  Population, total    SP.POP.TOTL    13411.0   \n",
       "\n",
       "                   1961       1962       1963       1964       1965  \\\n",
       "Country Name                                                          \n",
       "Aruba           55438.0    56225.0    56695.0    57032.0    57360.0   \n",
       "Afghanistan   9169410.0  9351441.0  9543205.0  9744781.0  9956320.0   \n",
       "Angola        5531472.0  5608539.0  5679458.0  5735044.0  5770570.0   \n",
       "Albania       1659800.0  1711319.0  1762621.0  1814135.0  1864791.0   \n",
       "Andorra         14375.0    15370.0    16412.0    17469.0    18549.0   \n",
       "\n",
       "                    1966  ...        2010        2011        2012        2013  \\\n",
       "Country Name              ...                                                   \n",
       "Aruba            57715.0  ...    101669.0    102046.0    102560.0    103159.0   \n",
       "Afghanistan   10174836.0  ...  29185507.0  30117413.0  31161376.0  32269589.0   \n",
       "Angola         5781214.0  ...  23356246.0  24220661.0  25107931.0  26015780.0   \n",
       "Albania        1914573.0  ...   2913021.0   2905195.0   2900401.0   2895092.0   \n",
       "Andorra          19647.0  ...     84449.0     83747.0     82427.0     80774.0   \n",
       "\n",
       "                    2014        2015        2016        2017        2018  \\\n",
       "Country Name                                                               \n",
       "Aruba           103774.0    104341.0    104872.0    105366.0    105845.0   \n",
       "Afghanistan   33370794.0  34413603.0  35383128.0  36296400.0  37172386.0   \n",
       "Angola        26941779.0  27884381.0  28842484.0  29816748.0  30809762.0   \n",
       "Albania        2889104.0   2880703.0   2876101.0   2873457.0   2866376.0   \n",
       "Andorra          79213.0     78011.0     77297.0     77001.0     77006.0   \n",
       "\n",
       "              Unnamed: 63  \n",
       "Country Name               \n",
       "Aruba                 NaN  \n",
       "Afghanistan           NaN  \n",
       "Angola                NaN  \n",
       "Albania               NaN  \n",
       "Andorra               NaN  \n",
       "\n",
       "[5 rows x 63 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_pop_tot = pd.read_csv('./API_SP/world_pop.csv',header=2,index_col=0)\n",
    "\n",
    "print(word_pop_tot.shape)\n",
    "word_pop_tot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "cleaning df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(264, 9)\n",
      "ISO_code    0\n",
      "2011        1\n",
      "2012        2\n",
      "2013        2\n",
      "2014        2\n",
      "2015        2\n",
      "2016        2\n",
      "2017        2\n",
      "2018        2\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aruba</th>\n",
       "      <td>ABW</td>\n",
       "      <td>102046.0</td>\n",
       "      <td>102560.0</td>\n",
       "      <td>103159.0</td>\n",
       "      <td>103774.0</td>\n",
       "      <td>104341.0</td>\n",
       "      <td>104872.0</td>\n",
       "      <td>105366.0</td>\n",
       "      <td>105845.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>AFG</td>\n",
       "      <td>30117413.0</td>\n",
       "      <td>31161376.0</td>\n",
       "      <td>32269589.0</td>\n",
       "      <td>33370794.0</td>\n",
       "      <td>34413603.0</td>\n",
       "      <td>35383128.0</td>\n",
       "      <td>36296400.0</td>\n",
       "      <td>37172386.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>AGO</td>\n",
       "      <td>24220661.0</td>\n",
       "      <td>25107931.0</td>\n",
       "      <td>26015780.0</td>\n",
       "      <td>26941779.0</td>\n",
       "      <td>27884381.0</td>\n",
       "      <td>28842484.0</td>\n",
       "      <td>29816748.0</td>\n",
       "      <td>30809762.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>ALB</td>\n",
       "      <td>2905195.0</td>\n",
       "      <td>2900401.0</td>\n",
       "      <td>2895092.0</td>\n",
       "      <td>2889104.0</td>\n",
       "      <td>2880703.0</td>\n",
       "      <td>2876101.0</td>\n",
       "      <td>2873457.0</td>\n",
       "      <td>2866376.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>AND</td>\n",
       "      <td>83747.0</td>\n",
       "      <td>82427.0</td>\n",
       "      <td>80774.0</td>\n",
       "      <td>79213.0</td>\n",
       "      <td>78011.0</td>\n",
       "      <td>77297.0</td>\n",
       "      <td>77001.0</td>\n",
       "      <td>77006.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ISO_code        2011        2012        2013        2014  \\\n",
       "Country Name                                                            \n",
       "Aruba             ABW    102046.0    102560.0    103159.0    103774.0   \n",
       "Afghanistan       AFG  30117413.0  31161376.0  32269589.0  33370794.0   \n",
       "Angola            AGO  24220661.0  25107931.0  26015780.0  26941779.0   \n",
       "Albania           ALB   2905195.0   2900401.0   2895092.0   2889104.0   \n",
       "Andorra           AND     83747.0     82427.0     80774.0     79213.0   \n",
       "\n",
       "                    2015        2016        2017        2018  \n",
       "Country Name                                                  \n",
       "Aruba           104341.0    104872.0    105366.0    105845.0  \n",
       "Afghanistan   34413603.0  35383128.0  36296400.0  37172386.0  \n",
       "Angola        27884381.0  28842484.0  29816748.0  30809762.0  \n",
       "Albania        2880703.0   2876101.0   2873457.0   2866376.0  \n",
       "Andorra          78011.0     77297.0     77001.0     77006.0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove useless cols - we have measles data only for the last 6 year\n",
    "\n",
    "word_pop_tot.drop(['Indicator Name', 'Indicator Code', '1960', '1961',\n",
    "       '1962', '1963', '1964', '1965', '1966', '1967', '1968', '1969', '1970',\n",
    "       '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978', '1979',\n",
    "       '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988',\n",
    "       '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997',\n",
    "       '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006',\n",
    "       '2007', '2008', '2009', '2010','Unnamed: 63'],axis=1,inplace=True)\n",
    "\n",
    "# fixing the col names\n",
    "word_pop_tot.columns = ['ISO_code', '2011', '2012', '2013', '2014', '2015', '2016','2017','2018']\n",
    "\n",
    "# show result on df\n",
    "print(word_pop_tot.shape)\n",
    "print(word_pop_tot.isnull().sum())\n",
    "word_pop_tot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "melting the df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2112, 3)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABW</td>\n",
       "      <td>2011</td>\n",
       "      <td>102046.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AFG</td>\n",
       "      <td>2011</td>\n",
       "      <td>30117413.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGO</td>\n",
       "      <td>2011</td>\n",
       "      <td>24220661.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ALB</td>\n",
       "      <td>2011</td>\n",
       "      <td>2905195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AND</td>\n",
       "      <td>2011</td>\n",
       "      <td>83747.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ISO_code  year  population\n",
       "0      ABW  2011    102046.0\n",
       "1      AFG  2011  30117413.0\n",
       "2      AGO  2011  24220661.0\n",
       "3      ALB  2011   2905195.0\n",
       "4      AND  2011     83747.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "melted_pop = pd.melt(word_pop_tot,\n",
    "                     value_name='population',\n",
    "                     var_name='year',\n",
    "                     id_vars='ISO_code')\n",
    "\n",
    "# delete the previous df, as we don't need it anymore  \n",
    "del word_pop_tot\n",
    "gc.collect()\n",
    "\n",
    "# show new df\n",
    "print(melted_pop.shape)\n",
    "melted_pop.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISO_code       object\n",
       "year            int64\n",
       "population    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert year type to int, in order to avoid issues with merging later\n",
    "melted_pop.year = melted_pop.year.astype('int64')\n",
    "\n",
    "melted_pop.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "quick stats on population dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "cell_style": "split",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8    264\n",
       "Name: ISO_code, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "melted_pop.ISO_code.value_counts().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "cell_style": "split",
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2011\n",
      "2018\n"
     ]
    }
   ],
   "source": [
    "# ...in the time-range:\n",
    "print(melted_pop.year.min())\n",
    "print(melted_pop.year.max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "##  merging dataframes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "mind that the number of time points is quite different for the 2 datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2011 2012 2013 2014 2015 2016 2017 2018 2019]\n",
      "[2011 2012 2013 2014 2015 2016 2017 2018]\n"
     ]
    }
   ],
   "source": [
    "print(who_cases_df.year.unique())\n",
    "print(who_vacc_df.year.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "hidden": true
   },
   "source": [
    "merging the vacc. coverage, cases and population, by `ISO code` and `year` – drop nans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ISO_code         0\n",
      "year             0\n",
      "cases          576\n",
      "vacc_cov      1177\n",
      "population     225\n",
      "dtype: int64\n",
      "measles_df.shape before dropna: (2322, 5)\n",
      "measles_df.shape after dropna: (1126, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>cases</th>\n",
       "      <th>vacc_cov</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGO</td>\n",
       "      <td>2015</td>\n",
       "      <td>103.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>27884381.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AGO</td>\n",
       "      <td>2016</td>\n",
       "      <td>51.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>28842484.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AGO</td>\n",
       "      <td>2017</td>\n",
       "      <td>27.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>29816748.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AGO</td>\n",
       "      <td>2018</td>\n",
       "      <td>57.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>30809762.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>BDI</td>\n",
       "      <td>2013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>9540289.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ISO_code  year  cases  vacc_cov  population\n",
       "4       AGO  2015  103.0      26.0  27884381.0\n",
       "5       AGO  2016   51.0      26.0  28842484.0\n",
       "6       AGO  2017   27.0      30.0  29816748.0\n",
       "7       AGO  2018   57.0      35.0  30809762.0\n",
       "11      BDI  2013    0.0      51.0   9540289.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measles_df = pd.merge(pd.merge(who_cases_df,who_vacc_df,how='outer',on=['ISO_code','year']),\n",
    "                               melted_pop,how='outer',on=['ISO_code','year'])\n",
    "\n",
    "# remove country - we can always recover it from the who_cases_df\n",
    "measles_df.drop('Country',axis=1,inplace=True)\n",
    "\n",
    "# show new df\n",
    "print(measles_df.isnull().sum())\n",
    "\n",
    "# remove NaNs - if we need more data on vacc, can be taken from the original df --> see next section\n",
    "print('measles_df.shape before dropna:',measles_df.shape)\n",
    "measles_df.dropna(inplace=True)\n",
    "print('measles_df.shape after dropna:',measles_df.shape)\n",
    "\n",
    "measles_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "add `prevalence` column and sort  df by year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>cases</th>\n",
       "      <th>vacc_cov</th>\n",
       "      <th>population</th>\n",
       "      <th>prevalence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>ATG</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>89253.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>ESP</td>\n",
       "      <td>2011</td>\n",
       "      <td>3508.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>46742697.0</td>\n",
       "      <td>75.049157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>YEM</td>\n",
       "      <td>2011</td>\n",
       "      <td>847.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>23807588.0</td>\n",
       "      <td>35.576893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>LTU</td>\n",
       "      <td>2011</td>\n",
       "      <td>7.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>3028115.0</td>\n",
       "      <td>2.311669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>BTN</td>\n",
       "      <td>2011</td>\n",
       "      <td>10.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>693298.0</td>\n",
       "      <td>14.423812</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ISO_code  year   cases  vacc_cov  population  prevalence\n",
       "432       ATG  2011     0.0      89.0     89253.0    0.000000\n",
       "1053      ESP  2011  3508.0      91.0  46742697.0   75.049157\n",
       "918       YEM  2011   847.0      54.0  23807588.0   35.576893\n",
       "1188      LTU  2011     7.0      94.0   3028115.0    2.311669\n",
       "1413      BTN  2011    10.0      95.0    693298.0   14.423812"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measles_df['prevalence'] = measles_df.cases / measles_df.population * 10**6\n",
    "\n",
    "# sort by year\n",
    "measles_df.sort_values('year',inplace=True)\n",
    "\n",
    "measles_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## aggregated distributions VS time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "dist. of vacc over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 1071
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=who_vacc_df,\n",
    "            y='vacc_cov',\n",
    "            kind='box',\n",
    "            x='year',\n",
    "            aspect=3,\n",
    "            color='orange')\n",
    "\n",
    "plt.plot([who_vacc_df[who_vacc_df.year == my_y].ISO_code.nunique()\n",
    "          for my_y in np.sort(who_vacc_df.year.unique())\n",
    "          ],\n",
    "         label='n countries reported')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "dist. of prevalence over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 355,
       "width": 364
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=measles_df[measles_df.prevalence.notnull()],\n",
    "            y='prevalence',\n",
    "            x='year',\n",
    "            kind='box')\n",
    "\n",
    "plt.yscale('log')\n",
    "\n",
    "plt.ylabel('prevalence\\n(cases per million)', size=16)\n",
    "plt.xlabel('year', size=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## largest outbreaks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "one could set a prevalence threshold for instance >= 0.1 %  (1000 per million)   \n",
    "\n",
    "or\n",
    "\n",
    "from [WHO guidelines](https://www.ncbi.nlm.nih.gov/books/NBK143963/):\n",
    "\n",
    "> A confirmed measles outbreak is defined as the occurrence of three or more confirmed measles cases (at least two of which should be laboratory-confirmed; IgM positive) in a health facility/district/block (approximate catchment population of 100 000) in a month.\n",
    "\n",
    "...which means >= 360 / (year * M ppl) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# high_prev_countries = measles_df[measles_df.prevalence > 1000].ISO_code.unique()\n",
    "high_prev_countries = measles_df.ISO_code[measles_df.prevalence > 360].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "WHO reported cases for country with high measles prevalence:\n",
    "(as listed in the above) -- [check here ISO country codes](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3#Current_codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 281,
       "width": 420
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for my_country in high_prev_countries:\n",
    "\n",
    "    plt.plot(measles_df.year[measles_df.ISO_code == my_country],\n",
    "             measles_df.prevalence[measles_df.ISO_code == my_country],\n",
    "             label=my_country,\n",
    "             alpha=0.5)\n",
    "\n",
    "plt.ylabel('prevalence\\n(cases/million)', size=16)\n",
    "plt.xlabel('year', size=16)\n",
    "\n",
    "plt.yscale('log')\n",
    "plt.legend(bbox_to_anchor=[1.05, 1])\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "for __Europe__, largest outbreaks were in: Romania, [Georgia](http://www.euro.who.int/en/countries/georgia/news/news/2013/08/georgia-expands-immunization-campaign-to-prevent-further-spread-of-measles) , Bosnia, Albania, Ukrania, Serbia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 279,
       "width": 423
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "largest_outb_europe = ['GEO','ROU','BIH','ALB','SRB','UKR']\n",
    "\n",
    "sns.scatterplot(data=measles_df[measles_df.ISO_code.isin(largest_outb_europe)],\n",
    "                x='vacc_cov',y='prevalence',hue='ISO_code',alpha=0.5);\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Apart from [Micronesia](https://en.wikipedia.org/wiki/Federated_States_of_Micronesia), the  data from those other countries are quite scaring ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Probably the most frightening case was the \n",
    "[2015-2016 outbreaks in Mongolia](http://www.wpro.who.int/mongolia/mediacentre/releases/20160505-measles-outbreak-faqs/en/), \n",
    "__although the high vaccination rate__ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>cases</th>\n",
       "      <th>vacc_cov</th>\n",
       "      <th>population</th>\n",
       "      <th>prevalence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1611</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2770362.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1612</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2824699.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2881792.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1614</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2940108.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1615</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2015</td>\n",
       "      <td>20376.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>2998439.0</td>\n",
       "      <td>6795.535944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1616</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2016</td>\n",
       "      <td>28710.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3056359.0</td>\n",
       "      <td>9393.530014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2017</td>\n",
       "      <td>9.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3113779.0</td>\n",
       "      <td>2.890379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>MNG</td>\n",
       "      <td>2018</td>\n",
       "      <td>2.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3170208.0</td>\n",
       "      <td>0.630873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ISO_code  year    cases  vacc_cov  population   prevalence\n",
       "1611      MNG  2011      0.0      98.0   2770362.0     0.000000\n",
       "1612      MNG  2012      0.0      98.0   2824699.0     0.000000\n",
       "1613      MNG  2013      0.0      97.0   2881792.0     0.000000\n",
       "1614      MNG  2014      0.0      98.0   2940108.0     0.000000\n",
       "1615      MNG  2015  20376.0      98.0   2998439.0  6795.535944\n",
       "1616      MNG  2016  28710.0      90.0   3056359.0  9393.530014\n",
       "1617      MNG  2017      9.0      98.0   3113779.0     2.890379\n",
       "1618      MNG  2018      2.0      98.0   3170208.0     0.630873"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measles_df[measles_df.ISO_code=='MNG']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "...and [Kyrgyzstan](http://www.euro.who.int/en/health-topics/communicable-diseases/measles-and-rubella/news/news/2015/06/kyrgyzstan-back-on-track-to-prevent-measles-and-rubella-outbreaks)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISO_code</th>\n",
       "      <th>year</th>\n",
       "      <th>cases</th>\n",
       "      <th>vacc_cov</th>\n",
       "      <th>population</th>\n",
       "      <th>prevalence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2011</td>\n",
       "      <td>210.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>5514600.0</td>\n",
       "      <td>38.080731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>5607200.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>5719600.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2014</td>\n",
       "      <td>318.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>5835500.0</td>\n",
       "      <td>54.494045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2015</td>\n",
       "      <td>17779.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>5956900.0</td>\n",
       "      <td>2984.606087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>6079500.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2017</td>\n",
       "      <td>5.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>6198200.0</td>\n",
       "      <td>0.806686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1186</th>\n",
       "      <td>KGZ</td>\n",
       "      <td>2018</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>6315800.0</td>\n",
       "      <td>174.799709</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ISO_code  year    cases  vacc_cov  population   prevalence\n",
       "1179      KGZ  2011    210.0      98.0   5514600.0    38.080731\n",
       "1180      KGZ  2012      0.0      98.0   5607200.0     0.000000\n",
       "1181      KGZ  2013      0.0      97.0   5719600.0     0.000000\n",
       "1182      KGZ  2014    318.0      97.0   5835500.0    54.494045\n",
       "1183      KGZ  2015  17779.0      96.0   5956900.0  2984.606087\n",
       "1184      KGZ  2016      0.0      98.0   6079500.0     0.000000\n",
       "1185      KGZ  2017      5.0      96.0   6198200.0     0.806686\n",
       "1186      KGZ  2018   1104.0      96.0   6315800.0   174.799709"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "measles_df[measles_df.ISO_code=='KGZ']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## prevalence and vacc VS t"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "hidden": true
   },
   "source": [
    "here are few examples of cases to show correlation between  coverage  as cases across time - for few countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "def single_coutry_plot(country_to_plot,wanna_legend=True):\n",
    "    \n",
    "    sel_data = measles_df.ISO_code==country_to_plot\n",
    "\n",
    "    plt.scatter(measles_df.year[sel_data],\n",
    "            measles_df.vacc_cov[sel_data],\n",
    "            label='vacc coverage')\n",
    "\n",
    "    plt.scatter(measles_df.year[sel_data],\n",
    "            measles_df.prevalence[sel_data],\n",
    "            label='prevalence')\n",
    "\n",
    "    plt.title('%s'%(country_to_plot))\n",
    "    \n",
    "    if wanna_legend:\n",
    "        plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 372
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_coutry_plot('CHE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# NA\\EU"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Given the sometimes 'weird' results got from the WHO data and the fact that national surveillance systems in other countries are sometimes less reliable, we focus on North American and West EU countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [],
   "source": [
    "my_countries = ['USA','CAN',\n",
    "               'ITA','FRA','DEU','CHE','GBR','ESP']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## full data plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QIaURERHV06ZNK1KpVHUXL15027Nnj2dr18+fPz+va9euVcnJyR6rVq3ya0sNlmTxACWlTALwEvRL+LYJIbpZ+jOIiIiIiDqcn5ZoEP9WKE5vVeOrJ8KvhihdHfDVE+E4vVWN+LdCHSlEJSYmegDAgAEDytt6j/Xr16sBYPr06XkA4O7uLsePH18AALGxsa0u43N1dZWLFi3KAoA33ngjpKamprVLrMriAao+MG0G8AaA3gCShBDvCiHuFUL0EkJ0M+Vl6bqIiIiIiOxG6oDcM25Xfz69LQBfPRGOupr68LTt2nK23DNujrKcLz8/3wUAAgMDr3uuyRQHDhzwSE1Ndff09NTNmDGjqGE8JiYmDwB27NjhX1JS0mommTNnTkHv3r21aWlprv/3f/9ncgc/a7DGEr6LAP4AsAj6dubeAP4HwC4AKfXHWntdsEJdRERERET2IRTA5FVp6Ds+/+rY6W0BeF09qEl46js+H5NXpUFY46/ptvfZZ5+pAWDs2LEF3t7eV1NhVFRURa9evbQVFRWK1atXt7osT6FQ4PXXX88AgHfeeeemsrIyYb2qW6nFSvcVjV7Nfzb1RURERETUeSicgMmrLzYJUY31HZ+PyasvQnFdF3C7CQgIqAGA3NzcVluON1dRUSG++eYbfwCYNWtWXvPj06ZNywOAtWvXmjSjNHny5JLIyMiy3NxclzfffNNuyxzN/o0wwX7oZ56IiIiIiKgxhRPwyMqLTWadGjyy0qHCEwAMHDiwYuvWrQEnT55stdlDc1988YVfSUmJEwC89NJLoS+99FKT4+Xl5U4AkJiY6JWUlOTav3//qtbuuWTJkozRo0f3/vjjj4Pnz5+fa25NlmDxACWlHGnpe3YkQogpAKYBGATAH8DvAD4FsFxKB1nMSkRERET2oasDNs8KN3hs86xwR5uBmjhxYvFrr73W9dy5c+6HDh1yN6cT3+eff341JCYmJnq1dO6yZcvUn3zySWZL5wDAPffcUz569OiivXv3+r766qvBbX02qz06x+JKx/ICgCoAfwMwFsBWAB8CWGrPooiIiIjIzq522zMw+wRcayzRvMW5HfXr16/qoYceKgCAuXPnhmm12hYftUlOTnZNS0tzOXfunPKXX35RCSGQmpqaJKVMMPT68ssvzwHApk2bAmprTctCS5cuzXRycsKaNWuCMjMzle3+kmZigLK8cVLKv0gp46SUP0kpXwXwEYC/CiFc7V0cEREREdmB1AFfPRl2XcOIV/ISrmss8dWTYY7ShQ8AYmNj00NDQ6tOnTrlOWzYsIijR4+6Nz+npKRE8dprr2nuuuuuPpmZmc7Lli0L0Ol0GDx4cFmvXr2qjd170qRJJQEBAbW5ubkuX331lY8p9QwcOLBy4sSJ+ZWVlYoNGzbYvCMfA5SFSSkNrcU8AcAN+iV9RERERHSjEQogsHfl1Z8bGkY4uVzfWCKwd6UjdeHTaDR1Bw8eTB04cGDZiRMnPO+8886+PXv2vPX++++/edy4cd0HDx4cERgYOOCf//xnqKurq1Sr1XVxcXFqAIiOjjbcMKOes7MzGvaEWr16tclhaMmSJZlKpVJWVlba/DfKJh8ohOgrhIgRQrwjhFhZ/3pHCDFHCNHXBp8fIYR4TgixTghxRgihE0JIIcRkE659VAhxQAhRLIQoE0IcF0I8I4RZf6qHAygAcKXNX4KIiIiIOrZRC3Mw4qUM9J2Q1+RZp6vd+SbkYcRLGRi1MMe+hV4vLCysJiEhIXXDhg3nx40bV1BZWanYv3+/avfu3X6XLl1yHTp0aMm//vWvtAsXLiSlpKS4ZmVlKV1dXeWMGTMKW7v3E088kQ8AP/74o8/ly5dN6tHQs2fPmpkzZ9rl79ZCSus1zBNCPAjgn9A3VGjJcQD/kFLuslId/wfgOQOHpkgpv2rhuk8AzAVQCeAHADUA7oF+b6uvAUxurTGEEGIwgCMA/imlfKNt38DgffcBGDFixAjs27fPUrclIiIi6vBGjhyJ+Ph4AIhvrcFZQkLCcTc3tz633nprik2KA/TL+Qz9t3hj42RxycnJfSorK1MGDRo02Nxrrfa/kBDiXQDfQh+eWtvzKRLADiHEv6xUzm8A3gHwFwA9AcS3doEQ4hHow1M2gNuklGOllBMB3AL9hsATATzbyj2CAWwGcBRsIkFEREREgPGQxPDUIVhjHygIIV4BMB/6/aAEgAoAuwEkAmjYREsN4A4A9wPwrD9vvhCiWEr5uiXrkVLGNqvPlMsW1r8vkFKea3SvHCHE0wD2AXhJCPGRoVkoIYQPgJ3Qf/eHpZQ1bSyfiIiIiIgchMUDlBCiB4C/N/wI4H0Ar0kpS42c7wXgHwCerz9/kRBivZTygqVrM5UQIhT6mbNqAJuaH5dSxgshMgGEALgLwOFm17sB+AZAEIChUsoWH54jIiIiIqKOwRozUDEAXKCffXpRSvluSydLKcsA/E0IkQXg3fpr5+DaDJA93FH/niylNLZZ2DHoA9QdaBSghBDOAP4D4DYAI6SUaaZ+qBDicQCPm3j6AFPvS0RERERElmGNAHVv/fvp1sJTY1LK94UQTwK4FcB9sG+A6l7/3lL4SW92boNPAIwD8CIADyHEXY2OnZZSlrRwz3AAI8yok4iIiIiIbMgaASoM+tmnnW24dif0ASrMohWZz6v+vbyFc8rq372bjd9f//62gWtGQf/slDEXYUKDi3oDAJi02RgREREREVmGNQJUQ/hotee7AQ3XeLV4lgOTUoa349o1ANaYcm5DG/O2fhYREREREZnPGr0SGxomhLfh2oZrCixSSds1zC55tnBOQ8gz2ByDiIiIiIg6H2vMQJ0B0AXAeCHEC/VNIlpV341vPPTL/2y3kZlhF+vfW1pK2LXZuURERDaVXZ6NlUkrkVGWgVCvUMzuPxsaT429yyIi6tSsEaC+g/5Zn0AAK4UQ0Yb2SWpMCKEAEAt9228J/Qa89nSi/v1WIYS7kU58kc3OtTghhLTWvYmIqGPLLs9G9I5o5Gnzro7tTd+LuDFxDFFERFZkjSV8ywHk1v96MoCfhRD3CiO71woh7oW+DfgU6MNTHoAVVqjLZFLKS9Bv+qusr6sJIcQIAKEAsgEcsW11REREwMqklU3CEwDkafMQmxRr5AoiIrIEi89ASSnL6tuRb4U+oA0CsAtAiRDiFPQBCQACoN8rqaGTnABQC+BxU5f9WdkS6DfRXSqEOCylPA8AQoggAP+uP+et1mbX2kNKaTB01texD2wiQUR0w8ooyzBrnIiILMMaS/ggpdwhhJgCYCUAv/phHwBRzU5tHBAKAMySUral/XmLhBADcS30AEDf+vc3hRD/2zAopbyr0a+/EkJ8CuBpAElCiL0AagDcA0AFfUD82NK1EhERmSLUK9SscSIisgyrBCgAkFJuFUIcAfA/AGZA31jC0IxKFoC1AD6QUuZYqRwVgDsNjN/S0kVSyrlCiIMAnoF+tscJ+iYZqwB8as3ZJyIiopbM7j8be9P3NlnGp3ZXY3b/2Xasioio87NagAKA+kC0EMBCIUQ49IGlYUaqEMA5KeVFa9ZQX8c+GA5vply7AcAGixZERETUThpPDWLvjsX679ZDW6qFu7c7pt09jQ0kiMjiQkJC+mdlZSm3b99+dvXq1QFbtmwJMPceUsqExj8//PDD3bdv3+4PAAcPHjw9bNgwQ03bHJJVA1Rj9UHpoq0+j4iIqDMrLi7G1+u+hq5MB1e4Qleow9frvkZMTAxUKpW9yyOiTmrYsGEGexXs3LnTT6vVKqKiokqCgoJqWrpHfn6+0/fff+/b8PNnn32mHjZs2CVL12otNgtQZD62MSciImMOHjyIsrKmf48pKyvDgQMHMGbMGDtVRUSd3fPPP5/3/PPP5zUfDwkJ8dZqtcoFCxZkjx07trSle8TGxvpXVlYqgoKCaq5cueKybdu2AK1Wm+Hu7t4h/u5rjTbmREREZGWFhYVmjRMROYovvvhCDQB///vfM7t3715ZXFzstG7dOt/WrnMUDFAOTEopjL0AxNu7PiIish8/Pz+zxsmysiqrsfBsBh799XcsPJuBy1XV9i6JqEM4duyYW3JysoeHh4du5syZhY8++mgeAHz++edqe9dmqjYv4RNCXGj0o5RS3mxgvK2u3o+IiIiuN3z4cKSkpDRZxufl5YXhw4fbsaobQ1ZlNR5IOIsr1bX1I6XYkVuE3YN7oYur0q61ETm6ZcuWBQLAQw89VKhSqXRz5swpeOutt0KPHDmiOn/+vEvPnj1bfH7KEbTnGahwABL67nbSwHhbNb8fERERNaNSqRATE4MDBw6gsLAQfn5+GD58OBtI2MBH6VcahSe9K9W1+DDtCpb04j5cRMZUVVWJLVu2+APArFmz8gAgLCysZvjw4cX79u3zWb58ufqdd965bN8qW9feJhLGWoO3qWU4ERERmU6lUrFhhB2kaavMGicy5FLpJZdPT37aJas8S3mT503VcwfMvRzqHerwsy/tsXHjRp+ioiLnbt26VT3wwANXp88ff/zxvH379vnExcUFLF269LJC4dhPGbW5OimlotHLych4W19OLX02ERERkb2EubuaNU7U3KXSSy6P7ni0z/YL2wMTchJ8tl/YHhi9I7pPRmmGi71rs6Y1a9aoAWDq1KlNuvhNnTq12NfXtzYjI8N1x44d3vapznSOHe+IiIiIHMy8sCAEKZsu4glSOmNeWJCdKqKO5tOTn3YpqipqEpaKqopc/n3y313sVZO1Xbx40eXgwYM+CoUCc+bMyW98zNXVVU6cOLEAAFauXOnwzSS4D5QD4z5QREREjqeLqxK7B/fCh2lXkKatQpi7K+aFBbGBBJksqzzL4B8WY+OdwfLlywPq6uqgVCrlX/7ylx7NjxcWFjoDwO7du30LCgoU/v7+OttXaRoGKCIiIiIzdXFVsmEEtdlNnjdVJyDB4LgdyrGJjRs3qgGgurpaJCYmehk7r7KyUrFy5Ur/v/3tb9dt1usouITPgXEfKCIiIqLOZ+6AuZd9XX2bNIzwdfWtmTtgrsN3oGuLXbt2eaWlpbl6eHjoSkpKTkgpEwy93nrrrXTg2ka7jooBioiIiIjIhkK9Q2s2jtmYMq7HuNxBmkHF43qMy904ZmNKZ+3CFxsbqwaABx54oNDb29vo0rzHH3+8wMXFRSYlJXkeP37czXYVmqc9G+nWWbKQZqSUkssLiYiIiKhTCvUOrXlz+Jvp9q7D2oqLixXfffedHwDMmDEjv6VzNRpN3YgRI4r37t3ru3z5cvXgwYMzbFOledozAyWs/CIiIiIiog5s1apV/lqtVhEUFFQzduzY0tbOf+yxx/IBYMuWLQFVVVUOmQnaM8uTDoBd4oiIiIiIOrHMzMyktp4zf/78vPnz55vcEGLmzJlFM2fOvL7DhgNpc4CSUoZbsA4iIiIiIiKHxyYSREREREREJmKAIiIiIiIiMhE73TkwIQSfMSMiIiIiciCcgSIiIiIiIjJRe/aB6mbJQpqTUnb6vvitkVIabd0ohNgHYITtqiEiIiIiovYs4bsI67Uxl+DyQiIiIiIicjDtDSkOubkVERFRdnk2ViatREZZBkK9QjG7/2xoPDX2LouIiDq49gSo/eBGukRE5ICyy7MRvSMaedprezfuTd+LuDFxDFFERNQu7dlId6QF6yAiIrKYlUkrm4QnAMjT5iE2KRaL7lpkp6qIiKgzYBc+IiLqdDLKMswaJyIiMhUDFBERdTqhXqFmjRMREZmKAYqIiDqd2f1nQ+2ubjKmdldjdv/ZdqqIiIg6C7YKJyKiTkfjqUHcmDjEJsWyCx8REVlUezbSvbvxz1LK/YbG26rhfjcyIQS7HBIRtZHGU8OGEUREFhASEtI/KytL2dI5a9eu/X369OlF3377rfe4ceN6NT4mhIC7u7suNDS0atSoUSWLFi3K7tq1a21L96urq0NoaGj/7Oxspa+vb212dvYpV1dXh/i7cXtmoPbhWhvzxhvfNh5vK26kS0RERETkQKKiokqCgoJqDB3r3r17deOf3d3ddQ8++GAhAOh0OmRlZSlPnTrluXz5cs1//vOfgH379p257bbbqox91tatW1XZ2dlKACgqKnLeuHGjzy/UTIYAACAASURBVOOPP15kye/TVtbaSJcb7FqAlNLo76MQYh+AEbarhoiIiIhuZAsWLMgeO3ZsqSnn+vn51W7evPli47HU1FTlvffe2+vSpUuuzz77bNf4+Pjzxq5ftWqVGgCCgoJqrly54rJmzRp1ZwhQn5s5TkREREREN6iIiIjqhQsXZs2dO7f74cOHVVqtVri7u1+3ci0nJ8dp7969vkIIrF279sKYMWMiDh486HPx4kWX8PBwgzNgttSejXSfMGeciIiIiIhubIMHD64AgNraWnHlyhXnsLCw6wJRbGxsQHV1tbjzzjtL77///rJhw4YV79+/32f58uUBS5YsybZ91U2xjTkRERE5rOzybCz+eTGe3vs0Fv+8GDnlOfYuiYjaobCw0AkAFAoFgoODDTaSWLdunRoAHnvssXwAmDlzZj4AbNy4UW3ofFtjgCIiIiKHlF2ejegd0YhLjcPBzIOIS43D1B1TGaKIOrCtW7f6AkBUVFSxoa56hw4dcj9z5oy7p6enbubMmYUAEB0dXeTj41OXlpbmumvXLi9b19wcAxQRERE5pJVJK5GnzWsylqfNQ2xSrJ0qIrKc4lyty97Vp7t9/W5iz72rT3crydO62Lum1owbN66XEGJQ89cjjzwS3tJ1dXV1OHfunPLll18OXrFihUaj0dR88sknlwyd+9lnn6kBYMyYMQXe3t46AHB3d5cTJkzIB4DY2Fi7z0KxVTgRERE5pIyyDLPGiTqK4lyty1dvHe9TWV5zNTSl/ZbvO2Xh4BSV2t3uTRKMMdbGfNiwYWXNx7KyspRCiEHNx/v06VMRHx9/NjAwsK75Ma1WK7Zt2xYAALNmzWryX0/mzJmT9/nnnwd99913fsXFxek+Pj669n2btrNqgBJCKAH8GcAdAIIBeMK0WS8ppZxlzdqIiIjIsYV6hZo1TtRRHPv2jy6NwxMAVJbXuBzd/keX0U/0TbdXXa0xp415432gqqurxfnz593PnDnjnpKS4vHYY4+F79y583eFomksWLdunW9xcbFTWFhY1X333Vfe+NiwYcO0ERER2tTUVPdVq1b5z58/v+n0tA1ZJUAJIRQAFgD4XwC+bbwNAxQREdENbHb/2dibvrfJMj61uxqz+8+2Y1VE7VdaUKk0Z7wjMrQP1BdffOH7xBNP9NizZ4/v0qVLAxcuXJjb+Pjnn3+uBoDS0lKnQYMGRTS/Z0FBgXP9fdSdKkAJIQSArwCMbxhqw22ue6CMiIiIbiwaTw3ixsQhNikWGWUZCPUKxez+s6Hx1Ni7NKJ28fZ3qzZnvLOYPn16UUJCQvYHH3zQ5e23374pJiamICAgoA4Azp8/73LkyBEVoA9KBQUFRptFnDhxwvPXX391vf3226tsVXtj1piBmgVgAvQhSAD4EcB2AL8DKAPDEREREZlI46nBorsW2bsMIosaMq775bTf8n0bL+Nz83SpGTKu+2V71mULr7/+evaGDRvUubm5LosXL9a89957WQCwfPlytU6nw1133VV65MiRs8auHzNmTI/vvvvOb9myZepPP/0003aVX2ONLnyNN9KdLqUcLaX8QEr5rZRyn5Qy3pSXFerqcIQQ0tgLwAh710dERERE5lOp3WumLBycEnFncO5Nt/gWR9wZnOvoDSQsxdvbW/e3v/0tCwBWrFgRlJeX56TT6RAXFxcAANHR0fktXd+wN9TmzZsDamsNbiNlddYIULdCP8v0nZRyvRXuT0RERETUoanU7jWjn+ibPvGFgedHP9E3/UYITw3+53/+Jy8sLKyqrKzM6Y033tDs2LHDOyMjw9XNzU03ffr0wpaunTx5crGfn19tbm6uy3/+8x8fW9XcmDUCVMMzTz9b4d43FCmlMPYCwFk6IiIbyS7PxuKfF+PpvU9j8c+LuZErEVE7uLi44NVXX80EgJUrVwa9//77GgAYPXp0kZ+fX4vtyV1cXPDwww8XAMDq1avtsieUNZ6BSoN+FsrhNwMjIiJqTXZ5NqJ3RDfpBLc3fS/ixsSxmQER3RAyMzOTTD137NixpVLKhNbOe/LJJwuffPLJVs8zZM2aNZfWrFljcCNeW7DGDNT30M9CXbdxFhERUUezMmllk/AEAHnaPMQmxdqpIiIisidrBKiPAVQDuF8I0c8K9yciIrKZjLIMs8aJiKhzs3iAklL+AeB/oF8euF0I0d/Sn0FERGQroV6hZo0TEVHnZo1noCClXCaEKAXwCYDjQohtAPYASAdQaeI99lujNiIiInPM7j8be9P3NlnGp3ZXY3b/2XasioiI7MUqAareQeg7xY0D8Ej9y1QS1q2NiIjIJBpPDeLGxCE2KRYZZRkI9QrF7P6z2UCCiOgGZZWQIoQYB+A/AJTQhyHR8hVERESOS+OpwaK7Ftm7DCIicgAWD1BCiN4AvsK1NuY6AL8CuACgDPpARURERERE1OFYYwZqIfThSQLYAWCulJKtioiIiIiIqMOzRoAaVv9+HsBEKWWdFT6DiIiIiIjI5qyxD1QI9LNPWxmeiIiIiIioM7FGgMqtfy+ywr2JiIiIiIjsxhoB6lT9e7gV7k1ERERERGQ31ngGai2AhwCMF0LMl1JWWOEziIiIyIIqKy8jLW05tJXpcHfrhrDwp+DmGmz3exERORqLBygp5X+EENOg30B3hRBiupRSZ+nPISIiIsuorLyMY8cnoro69+rYldxdiIzcanbwseS9yHyl+Xk4um0TinOy4aMJxpAJU+Dtr7Z3WUSdijWW8AFANIAvAUwFcEgI8ZAQws1Kn9VpCSGksReAEfauj4iIOoe0tOVNAg8AVFfnIu3iMrvei8xTmp+HdS/Px8ndO/DHyQSc3L0D6xfOR2lBnr1Low4uJCSkvxBiUMNLoVAM8vT0vCM4OPi2oUOH9nrmmWdCfvnlF3dj1ze+tqVXamqqsuGaDz/8MEAIMWjIkCERLdX27bffegshBoWEhPS35HduiTU20r3Q+EcAQwBsB1AnhMgDUGnCbaSU8mZL10ZERETX01ammzVuq3uReY5u24SKosImY+VFhTi6dRPuefJpO1VFnUlUVFRJUFBQDQBotVpFfn6+c1JSkseRI0e8//3vfwePGjWqeM2aNRe7detWa+j6+++/v9DT09PoyjSVStUhVq1Z4xmocOjbmKPRe8NnaUy4XjS77oYlpRTGjgkh9oGzUEREZAHubt3MGrfVvcg8xTnZZo0TmWvBggXZY8eOLW08VldXh40bN/ouXLgw9KeffvK5++67e//8888pwcHB121n9MEHH2RERERU265i67DWEj5h4GVs3NB5REREZCNh4U9BqQxsMqZUBiIs/Cm73ovM46Mx/IyZsXEiS3BycsJjjz1WlJiYmNKtW7eqtLQ012eeeaarveuyJosHKCmlwgIvJ0vXRURERIa5uQYjMnIrQkOmIyBgBEJDpre56YMl70XmGTJhCjx9/ZqMefr6YciEKXaqiG4kgYGBdUuXLr0EANu2bQtIT0+3xko3h9BpvxgRERGZzs01GBERrzncvch03v5qTFvyPo5uZRc+so//+q//Kn7qqafqiouLnXbu3Kn67//+7wJ712QNDFBEREREnYS3v5oNI8huFAoF+vbtW37kyBFVcnJyp+3AzQBFREREN4Ssymp8lH4FadoqhLm7Yl5YELq4Klu/kMgKinIuuxz5amOXktwrSlVgUPXQKY9e9gkKrrF3Xe0VEBBQCwD5+fnX5YzevXsbbTUeERGhPXPmzGlr1mYpDFBERETU6WVVVuOBhLO4Ut3QXbkUO3KLsHtwL4YosrminMsu6xe90KeytMQFAJACXDhx3PexN99L6eghSqfTCUA/G9VcS23Mu3bt2mG68zFAERERUaf3UfqVRuFJ70p1LT5Mu4IlvULtVBXdqI58tbHL1fBUr7K0xOXwpg1dHnzm+Q69aVpBQYEzAPj7+1+3F5Q5bcyF0DfnlrLl3Y1aO24N1mpjTkREROQw0rRVZo0TWVNJ7hWD057GxjsKnU6H06dPewBA//79te25V8NMlVarbTGvlJaWKurPv27fKWthgCIiIqJOL8zd1axxImtSBQYZnIUxNt5RfPnllz4lJSVOzs7O8sEHHyxt/QrjwsPDqwEgPT3dVaczuOoPAHD27Fk3AOjSpYvNfu8YoIiIiKjTmxcWhCBl0ycXgpTOmBcWZKeK6EY2dMqjl928VU2edXLzVtUMnfLoZXvV1F65ublOL730UlcAmDRpUn5ISMh1S/jMMXTo0AovL6+60tJSp+3bt3sbO2/btm1+AHD33Xe3K7CZgwGKiIiIOr0urkrsHtwLT4So8Wd/bzwRomYDCbIbn6DgmsfefC+l791/zg3t06+4791/zu2oDSTq6uqwfv16n0GDBvVJT0937d69e+XHH3+c0d77urm5ydmzZ18BgHnz5oWdOnWqyXRxTU0N5s+ff9PJkyc9fXx86v7617/mtfczTcUmEkRERHRD6OKqZMMIchg+QcE1Ha1hxNKlS4NXr14dAABVVVWK/Px85+TkZI/S0lInABg9enTRmjVr0gIDAw0+j/Tcc8+FGuvCBwDz58+/EhUVVdHw89tvv53122+/ue/du9d34MCBt95+++3lISEh1VqtVvHrr7965ubmunh5edWtXbv2d41GY7NnoBigiIiIiIioVQcPHlQB+g557u7uOm9v77p+/fpVDBw4sHzmzJn5kZGRlS1dv3v3br+Wjk+YMKGocYBycXHB7t27f1+1apXfunXrApKTkz1OnTrlqVQqZUhISNWECRMKXnzxxZyePXvadOaOAYqIiIjIjkrz83B02yYU52TDRxOMIROmwNtfbe+yiK7KzMxMas/1UsqEtl6rUCgwe/bswtmzZxe2pwZLaleAEkJcALANwDcA9kspbTZ1RkREdKMrLi7GwYMHUVhYCD8/PwwfPhwqlcreZZEZSvPzsO7l+agouvZ3w3O/HMa0Je8zRBE5qPY2kQgHMA/AXgBXhBDrhBD/JYQw2imDiIiI2q+4uBgrVqzAsWPHcP78eRw7dgyfffYZSkpK7F0ameHotk1NwhMAlBcV4ujWTXaqiIha094A9Uv9uwDgByAawEYAuUKI3UKIuUIIPq1JRERkYQcPHkRZWVmTsbKyMhw4cMBOFVFbFOdkmzVORPbXrgAlpfwTgC4A5gD4FkAl9GFKCWA0gI8ApAkhEoQQ/xBCDGhnvURERASgsNDw4wDGxskx+WiCzRonIvtr9z5QUsorUsqVUsqHAagBTASwGkAe9GFKALgDwKsAEoQQaUKIj4QQ9woh2MSCiIioDfz8DDezMjZOjmnIhCnw9G36v5mnrx+GTJhip4qIqDUW3UhXSqmVUm6TUs4CEAwgCsA7AFJxLUx1BTAXwC4AeUKIOCFEtBDCx5K1EBERdWbDhw+Hl5dXkzEvLy8MHz7cThVRW3j7qzHhxVeh7hoGd28V1F3DMGHBq2wgQeTALBqgGpN6h6WUC6SUfQD0BvAigEMAJPRhSgVgCoB10Deh2CuEmCeECLNWXURERJ2BSqVCTEwMIiMj0bNnT0RGRiImJoZd+DqY0vw8fP32/0PepTRoS0uQdykNW5f+P5QW5Nm7NCIywmZL6KSUZwH8C8C/hBBqAGMBPAzgPgAeAFwAjKp/vS+E+A31LdKllMdtVacjEUJIe9dARESOS6VSYcyYMfYug9qhpS589zz5tJ2qIqKWWG0GqiVSyjwp5Rop5SQAAQDGAYgFkINrS/36A1gE4BchxMv2qJOIiIjImtiFj6jjsUuAakxKWSWl3CGljJFS3gTgTwCWADiNa2Hqhmw2IaUUxl4A4u1dHxEREbUPu/ARdTx2D1DNSSl/kVIuklL2A9ATwAvQhykiIiKiToVd+Ig6Hoee2ZFSXgDwvr3rICIiIrIGb381pi15H0e3bkJxTjZ8NMEYMmEKu/AROTCHDlBEREREnZ23v5oNI4g6EIdbwkdEREREROSoGKCIiIhsqLLyMlJTX8PJX59EauprqKxitzUi6ji+/PJLnwkTJnTv1q1bPw8PjzuUSuVAjUZz28iRI3u+/fbbgYWFhVfzxfPPP3+TEGLQI488Et7SPT/88MMAIcSgIUOGRDQ/JoQYZMorNTVVaYWvaxCX8BEREdlIZeVlHDs+EdXVuVfHruTuQmTkVri5susaETmuzMxM54kTJ9587NgxLwDo0aNHZVRUVIlSqZSXL192OXz4sCo+Pt5nyZIlN/3yyy8pvXr1qrbk599///2Fnp6eOmPHVSqV0WOWxgBFRERkI2lpy5uEJwCors5F2sVliIh4zT5FERG1Ii8vz2no0KG909PTXQcMGFC+bNmytDvvvFPb+JzCwkLFu+++G/jBBx90ycvLc+rVq5dFa/jggw8yIiIiLBrK2ooBioiIyEa0lelmjRMROYJZs2Z1S09Pd+3fv3/5oUOHUj08PGTzc/z8/HRvvPFGztSpU4u8vb1tNhtkDwxQRERENuLu1s2scSIie0tOTnb99ttv/QHg008/TTMUnhrr169flW0qsx82kSAiIrKRsPCnoFQGNhlTKgMRFv6UnSoiImrZli1bfHQ6HW655RbtsGHDtK1f0flxBoqIiMhG3FyDERm5FWkXl0FbmQ53t24IC3+KDSSIyGElJiZ6AMCAAQPK7V2Lo2CAIiIisiE312A2jCAiFBQUuMTHx3cpKipS+vr6Vo8cOfKyn59fjb3rai4/P98FAAIDA2vbeo8tW7YECCEC2lNH7969+xs7FhERoT1z5szp9tzfHHYLUEIIFwAPAogAoAWwX0p5yl71EBERERHZQkFBgUtsbGyfiooKFwBIS0vDuXPnfOfMmZPiiCGqvbp27VoVGRlZZuz4xYsXXRMTE71aukdLbcy7du1q0+58Fg9QQggfAIvqf9wnpfzOwDm9AWwH0KPZeByAx6WUne4PDhERERERAMTHx3dpCE8NKioqXPbt29dl4sSJDtWWMyAgoAYAcnNz25wbIiMjyzZv3nzR2PEPP/wwoLUA5UhtzK3RRGI0gP8F8AKA/OYH62eetgG4GYBo9poKYLkVaiIiIiIicghFRUVKc8btaeDAgRUAcPLkSU971+IorBGg7q1/vyyl/MXA8ZkAbgEgARQAWFb/KoM+RM0UQgy0Ql1ERERkA5WVl5Ga+hpO/vokUlNfQ2VVtr1LInIovr6+BmdSjI3b08SJE4sVCgXOnTvnfujQIXd71+MIrBGgIqEPR0eMHJ9R/14F4E9SyrlSyrkAHjJwDhER3UCyy7Ox+OfFeHrv01j882LklOfYuyQyU2XlZRw7PhEZmV8gPz8eGZlf4NixCQxRRI2MHDnysoeHR5NHVjw8PGpGjhx52V41GdOvX7+qhx56qAAA5s6dG6bVakVL5ycnJ7umpaW5tHROR2eNABVW/362+QEhhBeAP0EfsDZLKc81HJNSHgTwM/SzUEOtUBcRETmw7PJsRO+IRlxqHA5mHkRcahym7pjKENXBpKUtR3V1bpOx6upcpF1cZqeKiByPn59fzZw5c1Juv/323LCwsOLbb78915EbSMTGxqaHhoZWnTp1ynPYsGERR48evW4mqqSkRPHaa69p7rrrrj6ZmZmdutO3Nb6cd/17sYFjdwFwgj5AbTdw/Jf6c3oYOEZERJ3YyqSVyNPmNRnL0+YhNikWi+5aZOQqcjTaSsPPvxsbJ7pR+fn51ThawwhjNBpN3cGDB1MnTZrUIzEx0evOO+/se/PNN1fefPPNlUqlUnf58mVlUlKSZ3V1tQgICKgNDAyss3QNzz33XKixLnwAMH/+/CtRUVEVlv5cQ6wRoGT9u6Gpu7sa/Xq/geNX6t+9DRwjIqJOLKMsw6xxckzubt3MGieijiEsLKwmISEhdePGjT4bN270T0xM9Nq/f7+qrq5O+Pn51Q4dOrRk7NixRXPmzClQqVRGg05b7d6926+l4xMmTCjqyAGqAIAGQLiBY6Pq3y9IKQ0thm7oPNLmjbqIiKhjCvUKNWucHFNY+FO4kruryTI+pTIQYeFP2bEqIrKU6Ojo4ujoaEMrza7z3nvvZb333ntZrZ03b968/Hnz5l3XvRsApJQJ5tZobdYIUKcBBAO4TwihkFLqAEAI0QXAcOhnqAzNPgFASP17npHjRDeMssJKJO5KQ3FeJXzUbhj4QDi8/FztXRaR1czuPxt70/c2Wcandldjdv/ZdqyKzOXmGozIyK1Iu7gM2sp0uLt1Q1j4U3BzDbZ3aUREFmGNAPUdgD8DCAXwiRDiZQAeAFbWf54E8I2Ra++oP/67Feoi6jDKCiuxaclxVJRc62b6+4lcTFkYyRBFnZbGU4O4MXGITYpFRlkGQr1CMbv/bGg8NfYujczk5hqMiIjX7F0GEZFVWCNArQLwEoAAADH1rwYN4ei6BhJCCA30AQoAHG6qjsiWEnelNQlPAFBRUo3EXRdxd3SEnaoisj6Np4YNI4iIyKFZPEBJKYuEEFOgn2Vq3gyiBMBjDcv6momGvq26BLDP0nURdSTFeZVmjRPRDUhKQBjYjsXYeAdVXFyMgwcPorCwEH5+fhg+fDhUKpW9yyKiG5hVerRLKeOFEH2hn326A/rW5b8CWCalNNaucRyANADVAH6wRl1EHYWP2s2scSK6wRz+GMhNAcZ9BCgabemo0wHbnwUC+wBD/2q/+iykuLgYK1asQFlZ2dWxlJQUxMTEMEQRkd1YbZMrKWUmgH+Ycf491qqFqKMZ+EA4fj+R22QZn4dKiYEPhNuvKCJyDIc/BvbUL3OUAB6uD1E6HfDNs8DJddfO7eAh6uDBg03CEwCUlZXhwIEDGDNmjJ2qIqIbXafeJZioo/Lyc8WUhZFI3HWRXfiI6Bop9TNPDRrC0rgPgO3PNQ1PuSkdfjlfYWGhWeNERLbAAEXkoLz8XNkwgoiaEkK/bE/iWlg6ua5pcAKAAY/pz+vA4QkA/PwM75tpbJyIyBasHqCEEB4A7gYQCSAQgCeAL6WUe6z92URERJ2OQqFftgdcH5wAfXh6uNmzUR3U8OHDkZKS0mQZn5eXF4YPH27HqojoRme1ACWEcALwdwDzAPg2O5wMYE+z808AuBnAKSlllLXqsjYhRE8A/wvgLgD9AJyRUvazb1VERNSpKBT6ZXuGAtS4DzpFeAIAlUqFmJgYHDhwgF34TFSan4ej2zahOCcbPppgDJkwBd7+anuXRdSpWCVACSE8AewCMBRA8/UD0shlKwF8COBPQoi+UsrT1qjNBm4FMAbAL9C3Ze8c/xYjIiLHodPpn3kyZPtznWYGCtCHKDaMME1pfh7WvTwfFUXXnhE798thTFvyPkMUkQVZ65+u6wAMgz48XQKwCPpQ0ZIvATTsD/WQleqyhe1Syq5SyskAEu1dDBERdTKGuu01dnKd/rjO0JaL1Jkd3bapSXgCgPKiQhzduslOFRF1ThYPUEKIUQDGQz/T9BOAW6WUS6SUO1u6TkqZC+BE/Y8ddgmfkU2CiYiI2k9K/T5PjcPTgMeAV/L17w1OrtOfJ40t+qDOqDgn26xxImoba8xAzah/rwAwVUpZ1tLJzZyAftaqjyULEkJECCGeE0KsE0KcEULohBBSCDHZhGsfFUIcEEIUCyHKhBDHhRDPCCE6x9oIIiLqOITQb5LboKFhhJOz/r1xiArs0+G78JF5fDTBZo0TUdtY4xmoKOhnn76pn1Uyx+X6d0v/P/1pAEYWixsnhPgEwFwAlQB+AFAD4B4AHwO4RwgxmTNORERkUw2b4+am6FuVNzzr1NCdT0Afnjr4JrpkviETpuDcL4dR3mgZn6evH4ZMmGLHqqiz2bJli2rDhg3+x48f98rPz3eurKxUeHl51XXv3r0qMjKybOrUqQWjRo2qaHxNSEhI/6ysLGXjMSEEPD0967p37145adKkwgULFlxxd3e/btrc0LVKpVL6+/vX3HHHHeXPPPPMlTFjxpgzYdNu1ghQDeEnpcWzDCuvf3e3UC0NfgPwDoDjABKgb1gxoqULhBCPQB+esgHcLaU8Vz+ugX5p4kQAzwL4wMK1EhERtWzoXw1vkqtQAA9/zJmnG5S3vxrTlryPo1vZhY8s79KlS86TJ0/ucfToUW8A6Nq1a9WQIUNKPT09dYWFhc6nT5/2OHHihOdnn32mGT9+fMHWrVv/aH6PqKiokqCgoBoAqK2tFVlZWcoTJ054JiUleW7dutXv8OHDqR4eHgbXHje+tqioyOn06dMeO3fu9Nu5c6ffa6+9dukf//jHFWt+/8asEaAa/qndlpkZn/r3EgvVAgCQUsY2/lmY9i+WhfXvCxrCU/29coQQTwPYB+AlIcRHnIUiIiKbM/bvMoanG5q3vxr3PPm0vcugTiYnJ8dp6NChvTMyMlwHDhxY9tFHH6UPHTpU2/gcnU6HvXv3er711ltdzp8/72boPgsWLMgeO3ZsaeOxU6dOuY4YMaL3r7/+6vnuu+8GvvLKKwaDUPNrq6qqxKxZs7quX78+cPHixaGPPfZY4c0331xjie/bGms8x9OwbK9rG64dUP9+ucWzrEwIEQpgEIBqANe1rpFSxgPIhH627S7bVkdEREREZDuzZs0KawhPhw4dOts8PAGAQqHAfffdV/7jjz+e/+ijj9JMvfdtt91WNX369FwA2L9/v7ep17m6usply5Zd8vT01NXU1Ijt27fbbIM4a8xAJQAIAzDanIuEEIEARkH//NRhK9Rljjvq35OllNf9Aal3DEBI/bkWqVcI8TiAx008fUDrpxARERERtV1SUpLrzp07/QDg008/TXdzc2u1vWfzZ6BaExwcfHVZnznXeXl5yfDw8Mrk5GSPnJwcF3OubQ9rBKjtACYB6CGEmCalXG/ide8BcIM+QG21Ql3m6F7/3lJ6Tm92LgBACOGBa/tYhQFQNer2d0xK2dI9w9HKs1lERERERLby9ddf++h0OkRERGiHGue2EQAAIABJREFUDBlibGKhXY4dO+YJAL169ao099rS0lInANBoNDZZvgdYJ0CtB/AP6MPDMiFEiZRyu7GThRA+0IenadCHp1Ot7RllA1717+UtnNPQ7aP5VGMQrl/21/DzEwDWtHDPiwDiWy8PgH4GyqfVs4iIiIiI2igxMdETAG6//faW/l5stpqaGly4cEG5YsWKgG3btgV4e3vXzZ8/36xGEMePH3fLzMx0dXFxkePGjbNoD4WWWDxASSlrhRAzAXwPwAPAViHEIQB7Gp02TAjhCuB2AA/gWgjRAphp6ZpsSUp5EdcaaZh77Rq0HLCuEkLsA2eriIiIiDokrTbd5cIfH3aprMxUurmFVPfo/txld/euNptFMVVBQYEzAKjV6lpDx7ds2aJav369f/PxN998MysiIqK68di4ceN6GbrH8OHDSz7++OP03r17Vxs63lxubq7TTz/95Pniiy920+l0WLx48SVbNZAArDMDBSnlASHEFABfAFABGFb/algzOaH+1UBA33nvL1LKU9aoyUwNs0ueLZzTMEtV2sI5RERERERNaLXpLseOT+pTU1N49bmd/Px9vpGDv05xxBDVkt9++81ty5YtAc3Hn3vuuSvNA1TjVuQAkJ+f75ySkuJx4MAB1dy5c7tt3Ljxj65duxoMaobCl1KplJs2bTr3yCOP2Gz2CbBSgAIAKeV2IcQdAP4fgL+08FkS+iVuL0spf7dWPWa6WP8e9v/Zu/f4qOo7/+PvTwJJkBCMchU0aBXES4sXsNWl3mqlIlZstbW6v+0VqUXR7nZb22q7ra1261YFam3VarvUWu22KGsXrVoVilYEqVqjgkpQbgkYAoGEhOTz++OckUmYSSZhTub2ej4e8zhzvucynxyPIZ/5fs/n28U+sSqDa7rYBwAAAOjgzbfmjIxPniSptbW+/5tv3Try6KNuWpvsuEw44IADdkvS5s2bE/4tf91119Ved9117w29SzTxbUyiMua7du2yq6666qDbb799xFlnnTX25ZdffqVfv70/KpZ8ubtqa2v7P//884N27dplM2bMOHTcuHGvHnPMMbv26QftgcgSKEly97ck/bOZzVYw3OwDkg4MP3eLgsl2H3f3jVHG0QsvhMujzWxAkkp8Ezvtm3Zm1m2VEwAA8llz8wbV1PxcTc1rNaDsEFWNmamy0hGZDgvYJ83N6xImGMnaM+m4447b8eCDDx7w97//vauRWb1WWlrq8+bNW3ffffcNee211wb8/ve/H/zpT3+6ofN+nZOvmpqa/medddYRq1atGvCZz3zm0JUrV75aVBTFDE1765NPcfd33f2P7v5dd7/C3b/s7t92999kYfIkd39b0gpJJZIu7LzdzE6VNFrSRknP9G10AAAUhubmDVr2/HS9s+6/tWXLU3pn3X9r2bLz1bwr6/50AHqkrGxUwmd9krVn0vTp0xvMTK+99tqAZcuWJZwgd18VFxdr1KjgZ3/llVdS+oyqqqrW3/3ud2/269fPX3rppYG33377Xs9hRaVv0rTcdEO4/JGZHR5rNLNhkm4LV2909/aoAnB3S/ZS6tX6AADISTU1P1dLS12HtpaWOtWsuT1DEQHpcdihszf071/Z4Vmn/v0rWw87dPaGTMWUzPvf//5dU6ZMqZekmTNnVjU3N/eqWFpX2tratG5d0PtWXl6e8t/Wxx13XHNsEt4bb7zxoNbWvnl8rCASKDM73syejb0kHR9u+mGn9ve4++8l/UzSCEkvmdlCM/uDpFWSjlIwV9W8PvwxAAAoKE3NiR8FSdYO5IoBAw5unXjiH6tHjJhet//+kxpGjJhel80FJO666661Bx10UMuKFSvKTznllLFLly4dkGi/5557bkBjY2NxT87d2tqqWbNmjdq6dWu/fv36+cc//vG9hu915frrr98wcODA9rfffrv0tttu26uYRRQieQYqnExWklrdPeGNYGZfkPQVSeMUlC9/StJ33f2lCEKqkHRSgvYjujrI3S83syUK4jxVUrGkVyX9UtLPoux9AgCg0A0oO6RH7UAuGTDg4NZsKxiRzMiRI3cvXbr01QsuuOCwMIk66pBDDtl1xBFHNJWXl7fv2LGjaPXq1WVr1qwpk6QPfvCD2w8//PC9hiP+6Ec/GnH33Xe/l+S8++67/V555ZX9amtr+xcVFen6669/u3Plvu4cdNBBu2fOnLnxv/7rvw666aabRl5++eVb+vfv3/2B+yDtCZSZTZC0XEF1vdmSfppgn+slXRNblVSmoKz5OWY2xd3TOjzN3Z9U7+dmulfSvemMBwAAdK9qzEzV1i3qMIyvpGSoqsbMzGBUQGGqqqpqXb58+Wv3339/xX333XfA8uXLy5955pmKlpYWKy8vb6uqqtr1hS98YdMll1zy7umnn74z0TmWLFlSEb9eUlLiw4YNa5k+ffqWq6++unby5MkJj+vOtddeu+mee+4Z9s4775TOmzdvyNVXX725N+dJVRQ9UB9VkKy0SZrfeaOZHa2OyVP8slTSfDMbm6TyHQAAiEBDQ4OWLFmi+vp6VVZWavLkyaqoqOj+wAiVlY7QxIkLVLPmdqrwAVnioosu2nbRRRf1aN6ldevW9XqEWSrHDh48uH3z5s1/7+1n9FQUCdQZ4fI5d080hvErChImlzRX0g/C9lskfVrSQZIulXRHBLEBACQ11jdrxaIaNWxu1uAhZTp+yhiVV5ZmOixkSENDg+644w41Nja+11ZdXa0ZM2ZkRRI1btx3MxoDAMSLIoEaqyA5Wplk+/Rwe7W7z441mtnnJU2RNFjSNJFAMQ8UgEg01jfrgRue185te4aZv/FCnS68ZiJJVI5JV6/RkiVLOiRPktTY2KjFixdr6tSp6QoXAPJCFFX4hoXLvSZpMLMjJQ0PVzs8V+TuzZIWKuidOjaCuAAAklYsqumQPEnSzm0tWrFoTWYCQq/Eeo2WLVum1atXa9myZfrFL36hbdt6NLJGklRfX9+jdgAoZFEkULGvL3cl2BZfCe+xBNtjlUiGpjWiHMU8UACi0LC5uUftyE5d9Rr1VGVlZY/aAaCQRZFAxapnJJoN+J/CZZOCSn2d7QiXJekOCgAQGDwk8STvydqRndLZazR58mSVl5d3aCsvL9fkyZN7FRsA5LMonoF6W9J4ScfFN5qZKXjGySU96+5tCY6NfdW1PYK4AACSjp8yRm+8UNdhGN9+FSU6fsqYzAWFHktnr1FFRYVmzJihxYsXZ1UVPgDIRlEkUM9KOkrSGWZ2jLu/HLZfJGmUggTqiSTHHhku34kgLgCApPLKUl14zUStWLSGKnw5bPLkyaquru4wjG9feo0qKiooGAEAKYgigfq1pM9LKpb0lJnNl7SfgtLkUjA/1G86HxT2UH1QQYL1SgRxAQBC5ZWl+vDF4zIdBvYBvUYAkBlpT6Dc/Wkzu1fSZyTtL2lWuCk2We5t7l6T4NAPKyge4ZKWpjsuAADyDb1GAND3ouiBkqTPSaqVdJmkAWFbq6TbJH0tyTEz494viiiunMI8UAAAAEB2iSSBcvdWSV81s28reK6pWMHEuY1dHLZQQeLU4u6roogLAAAAAPZFVD1QkiR33ylpRYr73tv9XoUlnO8pITN7UtKpfRcNAADIdhtWv65Hb79VO7bWa+D+lTr78qs04rAjMh0WkFeimAcKAAAAfWzD6td177f/VZvfrlHT9m3a/HaNfvPNr2rjmwzsAdKJBAoAACAPPHr7rZJ3enzaXY/cdktmAgLyVKRD+AAAANA3dmyt71E7kKpRo0Ydu379+pLu9lu4cOHr55577vbY+l/+8pf95syZM2zZsmWD6urq+hcXF3tlZeXuUaNGtUyaNKlx+vTpW88888wd8ecwsxM6n7esrKx9+PDhraeccsq2b37zm5uOPvroXen5yXon0gTKzA6R9AUFJcrHKShrnspMje7uJHcAAAApGrh/pZq2b0vYDqTDP/3TP20bNmxYa7Lto0aNem/bd77zneHf//73R7u7Ro8eveuUU07ZNnDgwLba2tr+r7zyyn7Lli0rX716demZZ575ZqJznX322fUDBw5sl6Ta2tr+L7744sB777136B//+McDH3jggVVTp07tqjhdpCJLUszsOknfVlCBT9ozDxQAAEBKGhoatGTJEiYLTsHZl1+l33zzqx2H8Znp7MuvylxQyCtf//rXN8b3MCXzzDPPDLj++utHFxUV+W233fbWjBkzOnSD7tq1yxYsWFDx5ptvJu3VuvXWW98ZN25cS2y9rq6u+OMf//j7nnnmmUEzZsw4dM2aNS/1799/336gXookgTKzH0r6uvYkTTsUzAO1v4KJct+WNDh8KWyLtQMAAKihoUF33HGHGhv3fNFcXV2tGTNmkEQlMOKwI3TJD3+iR267hSp8yKjf/va3le3t7Tr33HPrOydPklRaWuqf+tSnGnpyzqFDh7bdeeeda44++uhj169fX/LUU08N/MhHPrKj+yPTL+0JlJmNV5A8SdK7CobwLZR0taQfS5K7jwn3PUjSRZK+IWmopCclXebuLQIT6QIAknOXLMHgjmTtOWjJkiUdkidJamxs1OLFizV16tQMRZXdRhx2hP7lpp9mOgwUuLq6uv6SNHTo0N3pPO9RRx3VUlFR0bZt27bisPcqIwlUFFX4ZmhPz9Mn3f1Bd29PtKO7r3f3WyS9X9Irkv6fpLsiiAkAgPyxdJ700CypvdM/r+3tQfvSeZmJK83q6xMXP0jWDiA7HHzwwS2S9PDDD1e+9dZbaRtnt3v3bjU1NRVJUllZWcY6GqIYwvfhcPm8uz+ZygHuXmtmn5D0kqTPmNlv3H1RBLHlFCbSBRCvsb5ZKxbVqGFzswYPKdPxU8aovDKVujzIK0vnSY9+K3jvks6bKxUVhcnTFdLK+Xv2PXlWRkJMl8rKxMUPkrUDyA5f+tKXtvz0pz8dUVtb2/+oo4465rTTTms4+eSTGydOnLjzlFNO2Tlo0KCEnSvduf/++we3traaJE2aNGlneqNOXRQJVJWCX+lLOrW/lyWaWX9371DBw91fN7NHJJ2roCeq4BMoAIhprG/WAzc8r53b9oxwfuOFOl14zUSSqELiLtVV71mPJUvTbpUWzu6YPNVV5/xwvsmTJ6u6urrDML7y8nJNnjw5g1EB6VHTtKv/TW9tHPl2c0vJwWUlLV87dMSGQwaUJq1wlw2mTZs2Ntm28vLytu3bt6+UpCOOOKJlwYIFr3/pS186tKampnTRokWVixYtqpSkfv36+aRJk7b/27/926bp06fvXTYygXXr1vVbsGBBxbXXXnuwJJ1xxhlbjzzyyIw98hNFAhV7qrO2U3tz3PtySYn6319QkEBNiiAuAMhZKxbVdEieJGnnthatWLRGH754XIaiQp8zk6bNDb6SjCVLK+d3TJwkacKlwX45nDxJUkVFhWbMmKHFixdThQ95paZpV/+PLX99/Lutbf0l6dmGHXr83W37LzphbHU2J1FdlTEfMGBAh16ls846a8fq1atfXrhwYcWiRYsqli9fPrC6unq/nTt3Fi1durTiggsuqLjqqqs23HzzzesTne/II488NlH7hz70oW333Xffmn3+YfZBFAlUk4IEqfN4x/gMc5QSJ1CxXqrhEcQFADmrYXNzj9qRx4qKgmF70t6JkxQkT7FhfXmgoqKCghHIOze9tXFkLHmKebe1rf+P39o4cu5RVWszFVd3Ui1jHtOvXz9Nnz59W6ynadeuXfanP/1p0HXXXTfq5Zdf3u+WW24Zed555209/fTT9xqOF5sHysxUWlrafvDBB7d89KMf3X7GGWdkpHBEvCgSqLcljVdQVS/eqrj3EyW9nODYIyOIBwBy3uAhZT1qR54rKgqG7SVKoKbdmjfJE5Cv3m5uSTj/UbL2fFFaWurTp0/fdsYZZzSOHTv2mNra2v5/+MMfKhMlUJ3ngcomUfyGfUlBFb6jE7THvir9QueDzOwwSecr6IV6I4K4ACBnHT9ljPar6Pjv6n4VJTp+ypjMBITMam8PnnlKZOHsvavzAcgqB5eVJEwMkrXnm8GDB7cff/zxjZK0efPmSOaljVIUCdST4fJDZvbeV6PuvlPSQwqSqw+Z2f1mdoqZjTezSyU9LSn218H/RhAXAOSs8spSXXjNRB176igdcvSBOvbUURSQKFSJqu3FWzk/2E4SBWStrx06YsMB/Ys7PEt0QP/i1q8dOmJDpmJKp/YUfv+sW7euRJJGjRqVc0ljFBnfQkm3SSqTNF3Sb+O2fVvStHDbJ8JXZ7WSbokgLgDIaeWVpRSMKHTu0sJOydOES/euwrdyfvB15Xnzcr6QBJCPDhlQ2rrohLHVP86xKnypmj179qgdO3YUXX755XUnnnhih4d1d+7cadddd92Il156aWBxcbEuvvjinJvYLe0JlLuvN7PLJB0oaWenbavN7AIFSdX+CQ5fL+nj7r453XEBAJDzzKSh4/esxxeM6FxYYuh4kicgix0yoLQ1mwtGJPKjH/1oxN13331gsu2XXHLJuxdccMG2HTt2FN19993D7r777mEHHXRQy7hx45rKy8vbNm/e3K+6unq/rVu39isuLtb3vve9tSeccELOVUOKZMyhu9/ZxbZHzGyspH+W9EFJlZK2KBjC92t3z3hljWxhZhmbYRkAkKVik+PWVQelymMFI2JJlClInnJ8El1k3vrmFs1dW6uapl2qGlCqK6uGaWRpXtc4QDeWLFnS5RwCH/jAB3ZecMEF2374wx+uP+mkk3Y8/vjjg15++eX9Xnrppf3q6+v7lZaW+kEHHdRyzjnn1F955ZV1J510UlNfxZ5OGXloK+xhujkTnw0AQM47eVbiSXKLihi2h7RY39yiKctfV23L7rBlux6u26pHThxLElWA1q1b91JP9h8xYkTbZZdd9u5ll132bk8/y92X9/SYvkad0yzm7pbsJempTMcHAMigZEkSyRPSYO7a2rjkKVDbsltzamozFBGQPUigAAAA0EFN064etQOFJJIhfGZ2iaRiSW+5++IUj5ks6VBJre7+2+72BwAAQDSqBpRK2p6kHShsae+BMrMPS/pvSXdLGtmDQw+SdI+k+WZ2UrrjAgAAQGqurBqmYSUdv2cfVtJPV1YNy1BEQPaIogfq/HC5TdIfenDcH8NjBimYH+pvaY4LAAAAKRhZWqJHThyrOTVU4QM6iyKBOlmSS3ra3Xd3t3OMu7eY2VMKJto9JYK4AAAFZOOOjbrrpbv0TuM7Gl0+Wl889osaPnB4psMCcsbI0hLdMHZ0psMAsk4UCdTh4fLlXhz7DwUJ1OHd7QgAQDIbd2zUxQ9frM1Ne+Zlf2ztY7pv6n0kUUk0NDRoyZIlqq+vV2VlpSZPnqyKii6nfEmquXmDamp+rqbmtRpQdoiqxsxUWemINEcMAL3jvm9TrUaRQMV+227rxbEN4XL/NMUCAChAd710V4fkSZI2N23WnS/dqW998FsZiip7NTQ06I477lBjY+N7bdXV1ZoxY0aPk6jm5g1a9vx0tbTUvddWW7dIEycuIIlCtmqV5G1tbUXFxcXtmQ4G0Wtvby9SMGKupTfHR1HGPPbbd3Avjo0dQ41MoAA01jfr6d++poVz/66nf/uaGuv5Xx/p8U7jOz1qL3RLlizpkDxJUmNjoxYvTqmQbgc1NT/vkDxJUktLnWrW3L5PMQIRerO9vb2psbFxv0wHgr6xffv2ge3t7U2S3urN8VH0QG1SkAid0ItjY8dsSl84ALJRY32zHrjhee3ctufLnzdeqNOF10xUeWVmy+Q21jdrxaIaNWxu1uAhZTp+ypiMx4SeGV2e+LmNZO2Frr6+vkftXWlqXtujdiALPNbW1nbixo0bR7j7pkGDBu0oKipqNyalzivurvb29qLt27cP3LRp0/C2trZNkh7rzbmiSKCWShon6TQzG+Pua1I5yMwOk3S6gu40KvABeW7FopoOyZMk7dzWohWL1ujDF4/LUFTZndghdV889ot6bO1jHYbxDRkwRF889osZjCp7VVZW9qi9KwPKDulRO9Jr+5bNeu7BB9SwaaMGDx+hSedfqEEHDMl0WNnuvra2tg81NTWd+vbbbx9QVFQ0ShLZU37y9vb2pra2tk1tbW1PSbqvNyeJIoFaIOlz4bl/bWYfcfcuxxeaWYmkX4XHeHiOgmdm+/aEG5DFGjY396i9r2RrYoeeGT5wuO6bep/ufOlOqvClYPLkyaquru4wjK+8vFyTJ0/u8bmqxsxUbd2iDsP4SkqGqmrMzLTEiuS2b9ms+d+8Wju37uk5XPW3pbrkhptJorpwwgknNC1fvnx2W1vbp9va2j4i6VBJ1GvPTy0Khu09Jum+E044oak3J0l7AuXuC83sRUnHKihH/oyZzXL3ZxLtb2YnS5oraYKC5OkVd/99uuMCkF0GDynrUXtfydbEDj03fOBwCkakqKKiQjNmzNDixYv3uQpfWekITZy4QDVrbqcKXx977sEHOiRPkrRja72eW/CAzvz8lzMUVW4I/5C+O3wBXYqiB0qSLlEwlK9cQWK0xMzekPScpNpwn2GSJkl6X7huCgpQXBJRTDnH3ZN2H5vZk5JO7btogPQ6fsoYvfFCXYfenv0qSnT8lDGZC0rZm9gBUauoqNDUqVPTcq6y0hEaN+67aTkXUtewaWOP2gH0TiQJlLv/w8zOkfSApNhXTu/TnmQpXixJ2CjpInd/MYqYAGSX8spSXXjNRK1YtCarijVka2IHAN0ZPDxxL1+ydgC9E1UPlNz9r2b2AUnfkPRFSYOS7LpN0h2S/tPd65LsAyAPlVeWZt1zRdma2AFAdyadf6FW/W2pdsQN4xu4f6UmnX9hBqMC8k9kCZQkhQnRv5rZ1yVNlHSUpAPDzVsk/UPSMndvizIOAOiJbEzsAKA7gw4YoktuuFnPLaAKHxClSBOoGHffLemZ8AUAAIAIDDpgCAUjgIgVZToAAAAAAMgVJFAAAAAAkKI+GcIHAACA6K1vbtHctbWqadqlqgGlurJqmEaWMicskE4kUAAAAHlgfXOLznr+NW1pjdXm2q6Hauv12MRxJFFAGjGEDwAAIA/c+OaGuOQpsKW1TTe+uSFDEQH5iQQKAAAgD/x1a2PC9iX1idsB9A4JFAAAAACkiAQKAAAgD5xSWd6jdgC9QwIFAACQB645bKQO7F/coe3A/sW65rCRGYoIyE9U4QMAAMgDI0tL9NjEcZpTQxlzIEokUAAAAHliZGmJbhg7OtNhAHmNBCqLmZlnOgYAAAAAe0TyDJSZ7Re++nexzxfMbIWZ7TCzzWb2P2Z2bBTxAAAAAEA6pL0HyswmSFouySXNlvTTBPtcL+ma2KqkMknnSzrHzKa4+1PpjisXubsl22ZmT0o6te+iAQDks4aGBi1ZskT19fWqrKzU5MmTVVFRkemwstb65hbNXcuzRkAhimII30cVJEVtkuZ33mhmR6tj8hS/LJU038zGuntTBLEBAIBOGhoadMcdd6ixcc+Eq9XV1ZoxYwZJVALrm1s0Zfnrqm3ZHbZs18N1W/XIiWNJooACEMUQvjPC5XPu3pBg+1e0J2GaK2lE+LovbDtI0qURxAUAABJYsmRJh+RJkhobG7V48eIMRZTd5q6tjUueArUtuzWnpjZDEQHoS1EkUGMVDN9bmWT79HB7tbvPdvdad6+V9HlJW8N9pkUQFwAASKC+vr5H7YWupmlXj9oB5JcoEqhh4XJj5w1mdqSk4eHqvfHb3L1Z0kIFvVMUkwAAoI9UVlb2qL3QVQ0o7VE7gPwSRQIV++2R6GuYk+LeP5Zg+9pwOTStEQEAgKQmT56s8vLyDm3l5eWaPHlyhiLKbldWDdOwko6PkQ8r6acrq4YlOQJAPomiiMROSeWSDkiw7Z/CZZOCSn2d7QiXPIEJAEAfqaio0IwZM7R48WKq8KVgZGmJHjlxrObUUIUPKERRJFBvSxov6bj4RjMzSVMUPP/0rLu3JTg2NlZgewRxAQCQP9wlSzDbRbL2blRUVGjq1KlpCKwwjCwt0Q1jR2c6DAAZEMUQvmcVPMd0hpkdE9d+kaRR4fsnkhx7ZLh8J4K4AADID0vnSQ/NktrbO7a3twftS+dlJi4AKABR9ED9WkFFvWJJT5nZfEn7aU9p8jZJv+l8UNhD9UEFPVSvRBAXAAC5b+k86dFvBe9d0nlzpaKiMHm6QloZNwXjybMyEiIA5LO0J1Du/rSZ3SvpM5L2lxT77R0bT3Cbu9ckOPTDCopHuKSl6Y4LAICc5y7VVe9ZjyVL026VFs7umDzVVfd6OB8AILkoeqAk6XOSaiVdJmlA2NYq6TZJX0tyzMy494siigsAgNxlJk2bG862GCZLK+d3TJwkacKlwX4kTwCQdpEkUO7eKumrZvZtBc81FSuYOLexi8MWKkicWtx9VRRxAQCQ84qKgmF70t6JkxQkT7FhfQCAtIuqB0qS5O47Ja1Icd97u98LAACoqCgYtpcogZp2K8kTAESI37AAAOSa9vbgmadEFs7euzofACBtIu2BihdW2auUNFBSfTfD+QAAQCKJqu3Fi7UzjA8AIhHpb1Yz29/Mvmlmz0raJalO0hpJMxLse4WZfdXMLogyJgAAcpa7tLBT8jThUunaLcEyZuX8YD/3vo8RAPJcZD1QZjZV0q8U9DpJe8qYJ/ttPklB6fPtZvZ/7t4UVWwAAOQkM2no+D3r8QUjOheWGDo+L6rwNTdvUE3Nz9XUvFYDyg5R1ZiZKisdkemwABSwSBIoMztX0h8V9HCZpB0KJsed2MVhP5d0iaRBkqaExwMAgHixyXHrqoNS5bFherEkyhQkT3kwiW5z8wYte366Wlrq3murrVukiRMX5FUStX3LZj334ANq2LRRg4eP0KTzL9SgA4ZkOiwASaQ9gTKzwZJ+raB0eYukf5f0M3dvNbOunmr9q4K5o4ZKOkskUACr31m4AAAgAElEQVQAJHbyrMST5BYVSefNy4ueJ0mqqfl5h+RJklpa6lSz5naNG/fdzASVZtu3bNb8b16tnVvr32tb9beluuSGm0migCwVxTNQX5a0v4Khep939znhvFBdcneX9JyC784mRBAXAAD5I1mSlCfJkyQ1Na/tUXsueu7BBzokT5K0Y2u9nlvwQIYiAtCdKBKoc8Lli72Y2+nVcHlYGuMBAAA5aEDZIT1qz0UNmzb2qB1A5kWRQI1T0Pv0WC+OjX0FMzh94eQuM/NkL0mnZjo+AACiVDVmpkpKhnZoKykZqqoxMzMUUfoNHp74Wa5k7QAyL4oiEvuHy7ou90qsOFwyAyAAAAWurHSEJk5coJo1t+dtFb5J51+oVX9bqh1xw/gG7l+pSedfmMGoAHQligRqq6Qhkip6cezocLklfeHkLndPOpDdzJ4UvVAAgDxXVjoibwpGJDLogCG65Iab9dwCqvABuSKKBGqtggSqN4UgTlcw/K86rREBAABkqUEHDNGZn/9ypsMAkKIonoF6XEElvY+YWcp97GZ2nqQjwtUnIogLAAAAAPZJFAnUrxQ8w9Rf0i/NrNteLjMbL+mOcHWXpLsjiAsAAAAA9knaEyh3r1aQDJmksyUtNrMzzGyvzzKzI83sPyQ9q2ACXZf0X+5em+64AAAAAGBfRfEMlCRdKelIBUUOJkn6s6SWuO3/YWY/VNBLJQXJliQ9Ium6iGICAAAAgH0SxRA+uXurpI9K+qmCXiWTVBq+l6T9JJWE7Ra23ybpPHf3vU4IAAAAAFkgkgRKCpIod79CQU/ULZJe0p5kKtbj9Iak2yW9391nufvuqOIBAAAAgH0V1RC+97j7aklflaTwOajK8HO3kDABAAAAyCWRJ1Dx3L1dTJILAAAAIEdFNoQPAAAAAPINCRQAAAAApKjXQ/jM7JB0BtKZu6+N8vwAAAAA0FP78gzUGu0pS55urj5+PgsAAAAAurOvSYp1vwsAAAAA5Id9SaCeVnQ9UAAAAACQdXqdQLn7aWmMAwAAAACyHs8ZAQCArNXcvEE1NT9XU/NaDSg7RFVjZqqsdESmwwJQwEigAABAVmpu3qBlz09XS0vde221dYs0ceICkigAGcM8UAAAICvV1Py8Q/IkSS0tdapZc3uGIgKADPZAmdmBki6RNE5Sk4KiFAvdncIUAABATc2Jp4RM1g4AfSHtCZSZDZM0L1z9H3f/XYJ9TpH0kKT945qvlvRXM5vm7g3pjgsAAOSWAWWH9KgdAPpCFEP4Pirpk5I+IekfnTeaWbmkByRVKphHKv51iqTfRBATAADIMVVjZqqkZGiHtpKSoaoaMzNDEQFANEP4zgqXb7n7ywm2z5A0QsEcUm9J+kXYfqWkgyR9zMxOc/cnI4gNAADkiLLSEZo4cYFq1txOFT4AWSOKBGqCguTob0m2fyZcbpP0IXevkyQz+19JLyroibpY0pMRxAYAAHJIWekIjRv33UyHAQDviWII38Hh8o3OG8zsAEnHKUiwfhdLniTJ3V+R9BcFCdRJEcQFAAAAAPskigSqPFxuT7DtQwoSJEn6U4Ltfw+XPB0KAAAAIOtEkUDtDpcDEmz7ULh0SYsTbN8cLssTbAMAAACAjIriGagtCopBvC/BtjPDZbW71yfYHku6WiKICwAQaqxv1opFNWrY3KzBQ8p0/JQxKq8szXRYyBR3ySz1dqCH1je3aO7aWtU07VLVgFJdWTVMI0tLMh0W0CtRJFAvSholaYqZlbl7sySZ2eGSJinofXo6ybGxoXubIogLAKAgeXrghue1c9ue76reeKFOF14zkSSqEC2dJ9VVS9PmSkVxA1Pa26WFV0hDx0snz8pcfMiopW9s1tceeFE/vvD9Ovl9Q3p1jvXNLZqy/HXVtsQGKW3Xw3Vb9ciJY0mikJOiGML3ULgcIul3ZnZcOHHufdrz/NMfkhx7ooIEa3UEcQEAJK1YVNMheZKkndtatGLRmswEhMxZOk969FvSC/Olh64IkiYpWD50RdD+6LeC/VCQ7nj6Ta3b2qQ7F7/V63PMXVsblzwFalt2a05N7b6GB2REFAnUryTVhO/PlfS8gh6nWPW9Fe7+eOeDzGyMpKPD1eciiKtPmNkRZrbIzBrNrM7M5prZfpmOCwBiGjY396gdeco96HmKWRkmUW27g+XK+Xu21VUH+6OgbGtu1ZLVwePpi1fVaVtza6/OU9O0q0ftQLZL+xA+d282s3Ml/Z+k0Z02v6M980B19s9x759Id1x9wcz2V1CKvUbSJyUNk/QTSUMlfTqDoQHAewYPKetRO/KUWTBsz7UnWVo5v2PiJEkTLg3241mognD/829rzuOr1N7uamlrV2tbkDi3trnOuOlJlRQXqajIdOWZR+iiEw/u5myBqgGlSlScOWgHck8Uz0DJ3f9hZuMlXaSg56lYQYnye929MclhR0l6SkEBiWTPSGW7yyRVSprg7pslycx2S/qNmX3f3f+R0egAQNLxU8bojRfqOgzj26+iRMdPGZO5oJAZRUXSeXOD950TJylIns7r9GwU8lr1hm16p74p4bbNjS0d9kvVlVXD9HDd1g7D+IaV9NOVVcN6HyiQQZEkUJLk7jsk3R2+Utn/4qhi6UPnSHo8ljyF/kfSLyV9TBIJFICMK68s1YXXTNSKRWuowocgOZp2a+IEatqtJE8F5pqPjVdJcZF+/vSbSfe57NTD9K9njUv5nCNLS/TIiWM1p4YqfMgPkSVQ2cLMxkmaImmigiIVYxUUs7jQ3X/fzbGfkfRlSe9X0Iv2qoKE8Gfu3p7gkPEKkqX3uPsuM3tD0pH7+KMAQNqUV5bqwxen/gcQ8lh7u7RwduJtC2fTA1VgSvoV6ZpzxqtiQH/9+JHX9tr+tbPH6SunH97j844sLdENYzs/2QHkprxPoBQkQEn+ZUjOzH4q6XJJzZIel9SqYB6reZLONLNPJkiiKiVtTXC6ekkH9DQGAAAiFau2l6j3SdrTThJVcJIN0Xt1497PMgGFphB+G74s6ceSPiXpcAXPWXXJzD6hIHnaKOn97n6uu0+XdISkaknTJV0RWcQAAETNPZjnKT55mnCpdO2WYBmzcn6wH1X4CkbL7nb95dWgxHi/ItMFx49Sv6KgiMgT1ZvUsjvRIBygcETeA2Vmh0maLGmcpP0lpVLmyd39C+n4fHe/s1M8qRx2Tbj8uruvijvXJjP7sqQnJX3DzOZ26oWqV/AzdlapYPgfAADZwSyYJDcmvmBE58ISQ8dTha+AmEkDS/tp+OAyzfn0cTpm1GB97uRDNft3L6ixeTe3AgpeZAmUmR0paa6kM3p5irQkUD1lZqMlnaCgGuADnbe7+1Nmtk7SKEkflLQ0bnO1gueg4s9XKul9SrGYBgAAfebkWcGyrjooVR4bphdLokxB8hTbDwWhf3GRFn/9dJUUF733xfOxowfr8a+eqpa2dvUvLoQBTEBykSRQZjZZ0p8k7afg1293vNN+mRwncFy4/Ie7J67jKS1TkEAdp44J1J8kXWtmB7r7lrBtuqTScFuXzOyzkj6bYpwTUtwPAIDkTp4VDM/r3K1QVCSdN4+epwJV2q94rzYzS9gOFJq0J1BmNlBBz83AsOkhSb+VdKqkmQqSozMlDZZ0jKRPKEgG2iX9UEHBhkw6NFzWdLHP2k77xvxcwbNRD5rZ97VnIt3fufsrKXz2GAXXCQCAvpMsSSJ5AoC9RNED9UUFiYNL+rG7f0N6b2icJMndnwzfPijpB2HPy+2SviHpFXe/L4K4UlUeLnd0sU9sMuBB8Y3uvtXMzpA0R9IfJDVJuk/Sv6f42WuUQpGL0AQFSSgAAACAPhJFAvWxcFkr6dupHODu94RjbH8p6Rdm9qy7r4kgtsi5++sK5p3qzbH3SLonlX3N7EnRWwUAAAD0qSieAjxWQe/TInffnWgHS1AKL0we/qFg6N8XI4grVbHepYFd7BPrpWIyBAAAAKCARJFAxSaMfaNTe3wyNSDJsY8qKCYxNd1B9cCacFnVxT4Hd9oXAAAAQAGIIoGKVdBr7dQe31szLMmxm8Pl6CTb+8IL4fJoM0uW6E3stC8AAACAAhBFAhVLgjoXOFgf9368EoslToOSbI+cu78taYWkEkkXdt5uZqcqiHOjpGeijMXMPNlLPP8EAAAA9LkoEqhXw+URndpfjHt/bueDzKxE0jnham0EcfXEDeHyR2Z2eKzRzIZJui1cvdHd2/s8MgAAAAAZE0UCtVTBc0wnxTe6+3pJy8NtXzCz95IoMyuV9AsFzx25pL+mKxgzO97Mno29JB0fbvphp/b4WH8v6WeSRkh6ycwWmtkfJK2SdJSkBZLmpSvGZNzdkr2UerlzAAAAAGkSRRnzRZKukzTKzE5w9+Vx225SMKlufwWTzb4p6V0FQ/piVe9cwTxK6VKhTslcqHMPWQfufrmZLZH0FQXD5YoV9K79UtLP6H0CAAAACk/aEyh3f9bM/ippiIKhesvjtv3OzM6S9Pmw6bDwJQU9U5L0XXdP27NF4aS9vZpK3d3vlXRvumIBAAAoROubWzR3ba1qmnapakCprqwappGlJZkOC+iVKHqg5O6Tu9j2xXDI3BUK5oySgl6nZQqeK/pjFDEBAIAk3KW9p2hM3g70wPrmFk1Z/rpqW2Iz2mzXw3Vb9ciJY0mikJOieAaqW+5+p7t/QMGwvdGSyt39JJInAAD62NJ50kOzpPZOI9Pb24P2pZE/8os8N3dtbVzyFKht2a05NZmuGQb0TiQ9UKly9yZJTZmMIZuF5coBAIjG0nnSo98K3ruk8+ZKRUVh8nSFtHL+nn1PnpWREJH7app29agdyHYZ6YECAAAZ5i7VVe9ZXzk/SJradu+dPNVVB/sDvVA1oLRH7UC267MeKDM7WNJQBcP23nT3dX312bkqLFeekJk9KSbTBQD0lpk0bW7Q8xRLllbO75g4SdKES4P9eBYKvXRl1TA9XLe1wzC+YSX9dGXVsAxGBfRepAmUmR0h6WuSpkmK/7/ka5J+0mnfGyXtJ+l1d2fANQAAUSsqCobtSXsnTlKQPMWG9QG9NLK0RI+cOFZzaqjCh/wQWQJlZjMl3SypRB3LiCcbA1Au6XJJzWb23+7eEFVsAAAgVFQkTbs1cQI17VaSJ6TFyNIS3TB2dKbDANIikt+KZvYlSbdJKlWQPK2S9EA3h90VLkslTY0iLgAA0El7u7RwduJtC2fvXZ0PAApc2hMoMxsp6ZZwdauk8919nLt/qqvj3P0FSW+Hq2emOy4AANBJomp78WKFJUiiAOA9UfRAXS5pgIKhehe5+0M9OHaZgh6r90cQFwAAiHGXFnZKniZcKl27JVjGrJwf7EcVPgCQFM0zUB8Nl0vd/bEeHrsqXI5JXzi5i3mgAACRMZOGjt+zHl8wonNhiaHjqcIHAKEoEqjDFPQ+Le7FsbHCEYPSFw4AAEgoNjluXXVQqjxWMCKWRJmC5IlJdAHgPVEkUBXhcmsvjo3Vs2xNUyw5jXmgAACRO3lWMDyvcw9TUZF03jx6ngCgkyiegXo3XB7Qi2PHhMvN6QkFAAB0K1mSRPIEAHuJIoF6Q0Gn/8SeHGRmRZI+omD434sRxAUAAAAA+ySKBOrP4fLDZnZED477F0mxGdZ6WnwCAAAAACIXRQL1S0m7wnPPN7NuC0KY2WmS5oSr2yT9KoK4AAAAAGCfpD2Bcve3Jf2ngmF8J0r6u5l93sxGx+1WamYjzWyKmf1K0qOSBioYvnedu29Ld1wAAAAAsK+iqMInd/+OmR0u6WJJVZLuiG0Kl9eHr5jYU6q/dPe5UcQEAAAAAPsqkgRKktz9EjNbIek67ZnXKX5i2PjSPjsk/Ye73xRVPLmIiXQBAACA7BJZAiVJ7v5fZnanggIRZ0r6gKQDw8/dIqlaQdGJX7o7pcsBAAAAZLVIEyhJcvcGBQUi5nS3LzpiIl0AAAAgu0RRhQ8AAAAA8hIJFAAAAACkiAQKAAAAAFIU+TNQZnakpOMkjVAw11NKSZu7fy/KuAAAAACgpyJLoMzsYknXShrXy1OQQAEAAADIKpEkUGY2V9LlsdVenIL5jwAAAABknbQnUGb2CUlfiWtaJelPkt6Q1CiSIwAAAAA5KooeqC+HS1cwhO8GdydpAgAAAJDzokigjlOQPC129x9GcP6CYWYkngAAAEAWiaKMeWm4/EsE5wYAAACAjIkigVobLtsjOHdBcXdL9pL0VKbjAwAAAApNFAnUXxVU3js2gnMDAAAAQMZEkUDNUfAM1FQzOziC8wMAAABARqQ9gXL3lyT9QNIASQ+a2Yh0fwYAAAAAZEIkE+m6+3VmtkvSdyW9YmZ3SPqzguejmlM8x9ru9wIAAACAvhNJAhWaI+kYSZ+S9G/hK1WuaGMDAAAAgB6LJEkxs0mS/lfSgQqSISkoLAEAAAAAOSvtCZSZjZb0qKSKuOZ6SW9JatSehAoAAAAAckoUPVDfUJA8uaTlkq5y96URfA4AAAAA9KkoEqgzw+V6Sae7+44IPgMAAAAA+lwU80BVKeh9+j3JEwAAAIB8EkUCtTVcborg3AAAAACQMVEM4auWNFzSqAjOXVDMjIIbAAAAQBaJogfqtwpKlp9rZszlBAAAACBvRJFA3S3pGUmHSLoxgvMXDHe3ZC9JT2U6PgAAAKDQpD2Bcvc2SdMlLZV0tZk9YGZHp/tzAAAAAKCvRTGR7hPxq5IukHSBmW2QtFZScwqncXc/s/vdAAAAAKDvRPGM0mkKypgrbmmSRoav7ljccQAAAACQNaIq8mAptgEAAABAzogigTo0gnMCAAAAQMalPYFy95p0nxMAAAAAskEUZcwBAAAAIC+RQAEAAABAikigAADIRZ6kYG2ydgBAWpBAAQCQa5bOkx6aJbW3d2xvbw/al87LTFwAUACiKmMOAACisHSe9Oi3gvcu6by5UlFRmDxdIa2cv2ffk2dlJEQAyGckUAAA5Ap3qa56z3osWZp2q7Rwdsfkqa462N+YhhEA0okECgCAXGEmTZsb9DzFkqWV8zsmTpI04dJgP5InAEg7noECACCXFBUFw/YmXJp4+4RL9wzrAwCkHb9ds5iZebKXpFMzHR8AIEOKioJhe4lMu5XkCQAixG9YAAByTXt78MxTIgtn712dDwCQNiRQWczdLdlL0lOZjg8AkAGJqu3FWzk/2E4SBQCRIIECACBXuEsLOyVPEy6Vrt3S8ZmolfOD/ZhUFwDSjgQKAJB/kiUOuZ5QmElDx+9ZjxWMKO63d2GJoeOpwgcAEaCMOQAgvyydF8yBNK1TJbr29qBXZuj43J5gNhZ7558xVp3PlPs/IwBkMRIoAED+WDpPevRbwXvXnnLeiZ4byuUE4+RZiSfJLSqSzptHzxMARIgECgCQH9yDXpmYWLI07dagMl188lRXnTgBySXJYs/lnwkAcgDPQAEA8oNZMKStczGF7x+4d9GFaXNJNIAULH1js0658QktfWNzpkMBsgYJFAAgf8SeA4pPouLFii4w0SyQkjueflPrtjbpzsVvZToUIGvwLwgAIL8UFQXD9hKZdivJE5Cibc2tWrI66HlavKpO25pbMxwRkB14BgoAkF/a24NnnhJZOJseKKAL9z//tuY8vkrt7a6Wtna1tgWl/1vbXGfc9KRKiotUVGS68swjdNGJB2c4WiAzSKAAAPkjUbW9eLF2kiggoeoN2/ROfVPCbZsbWzrsBxQq/vUAAOQH92Cep84FI67dsndhiYVX5P6kukAErvnYeF324cO63OeyUw/TNR8b3+U+QD6jBwoAkB/MgglkY+ILRpw3N2iLJVdDx1OFD0igpF+RrjlnvCoG9NePH3ltr+1fO3ucvnL64RmIDMgeJFAAgPwRmxy3rjooVR4bphdLokxB8pTLk+gCfSDZEL1XN27v40iA7EMCBQDILyfPSjxJblGRdN48ep6AbrTsbtdfXq2VJPUrMp034SA9tHK9dre7nqjepJbd7Srpx1MgKFwkUACA/JMsSSJ5ArplJg0s7afhg8s059PH6ZhRg/W5kw/V7N+9oMbm3fxvhIJHAgUAAID39C8u0uKvn66S4iJZmC0dO3qwHv/qqWppa1f/YnqfUNhIoAAAANBBab/ivdrMLGE7UGj4CgEAAAAAUkQCBQAAAAApIoECAAAAgBSRQAEAAABAikigAAAAACBFVOHLYmbmmY4BAAAAwB70QAEAAABAikigspi7W7KXpKcyHR8AAABQaEigAAAAACBFJFAAAAAAkCISKAAAAABIEQkUAAAAAKSIBAoAAAAAUmTuTDWUi8zsHUmjBg8erAkTJmQ6HAAAgKyxcuVKNTQ0SNI6dx+d6XiQX0igcpSZbZU0ONNxAAAAZLEGd98/00Egv/TLdADotbckHSqpUdLqDMeSDyYoSEgbJK3McCyFhmufOVz7zOHaZw7XPnP68tofLqlcwd9LQFqRQOUodz8u0zHkEzN7UtKpkla6+2mZjaawcO0zh2ufOVz7zOHaZw7XHvmCIhIAAAAAkCISKAAAAABIEQkUAAAAAKSIBAoAAAAAUkQCBQAAAAApIoECAAAAgBSRQAEAAABAikigAAAAACBFJFAAAAAAkKJ+mQ4AyBL3SHpS0pqMRlGY7hHXPlPuEdc+U+4R1z5T7hHXPlPuEdceecDcPdMxAAAAAEBOYAgfAAAAAKSIBAoAAAAAUkQCBQAAAAApIoECAAAAgBSRQAEAAABAikigkLfM7DQz8xRfhyQ4/jNmttjMGsys0cyeN7OvmBn/33Sjt9fezO7pZt9XM/lz5QozG21mc83sNTNrMrNmM1tlZreb2WFdHMc9nwY9vf7c9+lhZgeb2Twze8PMdpnZZjN7xMymdnMc930a9PT6c98jlzEPFPLZRkm/6mL7JEnjJb0h6e34DWb2U0mXS2qW9LikVklnSpon6Uwz+6S7t0cRdJ7o9bUP/VXS6gTtG/Y9tPxmZsdJekLS/pLekfRIuOlESZdJusTMznb3pZ2O455Pg95e/xD3fS+Z2URJiyQdIKlG0sOSRkg6Q9JHzex77v6dBMdx36dBb69/iPseucfdefEqyJekVyS5pG92av9E2L5B0hFx7cPjjpmd6fhz+dXFtb8nbP9spmPM1ZekpeE1/IWk/nHt/SXdFW77e6djuOcze/257/ftmpdJWhtewzmS+sVtO1lSfbjtrE7Hcd9n9vpz3/PK2Rfd0yhIZvYhBT0gbQp+ice7Jlx+3d1XxRrdfZOkL4er32B4R+90c+2xD8ysTNKHwtXvuHtrbFv4/tvh6vvNbL+4Q7nn02Afrj/2zXRJByvo0f5Xd98d2+BBT98PwtXrOh3HfZ8evb3+QM7ilwIK1efD5SJ3Xx9rNLPRkk6Q1CLpgc4HuftTktYpGJrwwT6IMx8lvPZIizZJu7vdS9ohqUnink+zHl9/pMXEcPlUfNIa59FweYqZjZC479Osx9cfyHUkUCg44Te/nwpX7+q0+bhw+Q93T/YHzrJO+yJF3Vz7eKeb2U/M7Bdm9n0zO5tvgbsX/vHyeLj6H2bWP7YtfP/9cPUud/fwPfd8mvTy+sfjvu+d8nC5Ocn2WLtJOj58z32fPr25/vG475FzKCKBQnShpEGSaiX9b6dth4bLmi6OX9tpX6Suq2sf7/8laHvFzD7t7i9FEln+uFzBw9xfkvQxM3s+bJ8oqVLSLZL+PW5/7vn06un1j8d93zu14TJZhcn3xb0/tNOS+37f9eb6x+O+R84hw0chig0h+3WC4Qaxb9J2dHF8Y7gclNaoCkNX116SVkq6UtJRCv5bHCTpXEl/D9seM7NRfRFornL3NxU8uP1/kkZLOj98jVLwYPziTteeez6NenH9Je77ffVEuJwaDs3r7Mtx7yvCJfd9+vTm+kvc98hhJFAoKGZ2uKQPh6u/zGQshSaVa+/ut7j7XHevdvcd7r7B3R9WUPb8WUnDtOfBbyRgZidLelnS4ZI+Lmlo+DpfQQ/I/5gZD3NHpDfXn/t+37j7E5KeljRA0p/N7EwzG2Rmh5vZXEkXKyhPLkmUJE+z3l5/7nvkMhIoFJpYD8gz7l6dYHvsG8eBXZwj9s3l9rRFVRi6u/ZJuXuLpBvC1XPSGlUeMbP9JS1Q8I35FHd/yN03h68HJU1RULzgWjM7IjyMez5Nenn9k+K+75ELFcwndKSkxyRtk7RK0iwFwyb/Hu73brjkvk+vnl7/pLjvkQt4BgoFw8yKtWesdbICBmvCZVUXpzq4077oRorXvjuxWekZ0pHcVAW9HU+EQ8k6cPfVZvY3SaeFr1Xink+n3lz/7nDfp8Dda81ssqSPKJi89UBJmyQ96O7Pm1ms4mfsmZo14ZL7Pg16cf27w32PrEYChUJytoJfxo2SfpdknxfC5dFmNiBJdaaJnfZF91K59t05MFw2drlXYTskXDZ0sc/WcHlAuOSeT5/eXP/ucN+nKKxs+Ofw9R4ze5+kkZK2SFoRNnPfp1kPr393uO+R1RjCh0LyhXB5v7sn/KXs7m8r+AVfomBIQgdmdqqCB8M3SnomojjzUbfXPgUXhctlXe5V2GLf8p4QX0I7Jmw7IVx9S+KeT7MeX/8UcN/vu38Ll78Ih4dx3/etva5/CrjvkdVIoFAQzGyIpGnhandDyGJjr38UFj6InWOYpNvC1RvdnYeRU5DqtTezCWZ2bjjcL769n5n9q4JqTZJ0czSR5oX/k7RTQU/IzWZWGtsQvp+jYFhSvaRH4o7jnk+PHl9/7vv0MLNjzWxgp7Z+ZvYtSZdJWi3pB50O475Pk55ef+575DpLPJcfkF/M7GpJP5H0qruPT2H/2xSUXm1W8EBsq6QzFZRgXSDpk+7eFl3E+SPVa29m50v6o4KHjFcomFvkQEnHKihv2y7pG+7+48iDzmFm9i8KEtViBT0isSEzJygYRrNL0qfdfUGn47jn06Cn15/7Pih0oloAAB93SURBVD3M7B4FPUkrJK1TUBHugwoqua2S9FF3X5PgOO77NOjp9ee+R64jgUJBMLMXFfxi/vdUfyGb2WckfSU8rljBQ62/lPQzvpFMXarX3swOlTRbQQnbKgX/mLqkdyQtlvRTd18efcS5z8yOl3SVpMkK/miXgj9q/iLpJ+7+SpLjuOfToCfXn/s+PcI/yL8o6QMKCnk0S3pN0v0KrmFzF8dy3++jnl5/7nvkOhIoAAAAAEgRz0ABAAAAQIpIoAAAAAAgRSRQAAAAAJAiEigAAAAASBEJFAAAAACkiAQKAAAAAFJEAgUAAAAAKSKBAgAAAIAUkUABAAAAQIpIoAAAAAAgRSRQAAAAAJAiEigASMLMPHytyXQsfcXM1sR+7kzHAhQCMzsr7nfNGZmOJ56Z/TmM6zkz429GIMT/DIhU/B9j4avBzPbrwfFXdzrezWxmD44/0Mw+b2bzzexlM9tkZi1hHG+a2YNm9g0ze1+CY1fEfea3U/3MTucYZWZtced5f6ftFWb2CTP7qZktNbO6ML5tZrbKzH5rZheaWf/efD4Km5lNMLPvhq/TMh0PgI7C3+1zw9X/c/cnutj3k2b2uJnVm1lz+G/EzWY2PMXPKjezmvDfop+kGOK/S3JJEyV9IcVjgLxHAoW+ViHpkz3Y/3O9+ZAwMblB0hpJd0m6RNLRkoZJ6h/Gcaik8yTdIGl1+A/TpLjT3BX3/rNmZr0I5bPa8//Z8+7+YlyMd0iqlfR7SZdL+pCkIWF8gyQdLunTku6X9KKZTezF56OwTZD0nfB1WmZDAZDAlySNC99/N9lOZjZX0gOSzpC0v6RSBf9GXCVphZkdmcJnXS/pEEk1kq5NJTh3f0HS/4ar3+vJF6BAPuuX6QBQUFySKUiKft3dzmHCcGy42q4UE34zGytpgaTxcc1NkhZLqpZUJ6lM0nAFScsx4T5nSPqbmQ12922SfiPppnDf90k6VdKTqcQQ57Nx7+/qtG2ygn8EJalF0vOSlkvaFLafIOlsScWSjpT0FzP7iLs/28MYAABZxszKJMVGNzzp7s8l2e8iSbPC1QZJv5W0WdLpkk6RdJCk+83sA+6ecOht+OXgFeHqTHff0YNQb5Q0TdKIMI7/7MGxQF4igUJfekLSmZJONbPD3P3Nbvb/fLhsV5C4dDs23MwOkbRE0tCwaZukH0ia5+47kxxTJen/t3fmYXcUVf7/fAkEJCQIA4iAIiIYQRB/QERZXUCWERUYQdagP1lUGDbHbdSIyji4MQiKMoRMQCWKIESIIpvsiCCgAhKWhH0QEiBAICGc+eNU2/XedN/u+y55k3A+z9PP7dt9+nR1dXV3nao6p47DWwKXJxlqZvaUpPOAfZPowfRgQEnaHm8hBDfgflYh9hfgVOAcM3uqQsdbgPPxFspRwGRJbzWzeW3TEfQfM+tPr+MSjZm9YbjTEASvEA4EXpvWf9BF7pj0+yywuZndC5BGRZyOD63bBNgJ+G3nwZKWTXLLAD81s9/0kkgzu07S7cCmwFGSTopvUPBKJ4bwBYuSielX9O2ZWYjUMrdP+nsp8GCTckkjgfMojadHgG3M7MQ64wnAzGaa2RH4x+G2jt15r9FekkY3pSPjY9n6uWb2dMf+Q4BNzey0KuMppe1OYGfcAAPYAO+VCoIgCJZsjky/s/BREwshaXlgi/T3zMJ4Aki9TZ/PxLepOc9n8O/bLHzIX38ovt+vBT7STx1BsNQQBlSwKLkFKHyADmqI6LMnPs4b4MyW+sfjw94AFgB7m9mf2ybOzO4GtgLmZJuvAO5P6ytSGnVdSYZW7uvVOXwPM7uqbrhFh9wM4MJs0zvbpKEmXWdkAS2ObD4CJK0oaU465kVJ/1Qhs4GkoySdL+luSc9Kmp+CYlwv6YTUO9hLWiVpd0kTJd2VHKfnS3pS0o3JeXr7FnpWkXSMpGmSHpQ0NzlgPyDpYkmfkfS6mmO7RuGTtEMmMyltGynpUElXyYOWvJjO+9O2fmyS3ibp85IuknS/pOeSnsckXSnpi5JW63L8BHkUvfzZ+YoWDshiksZ3HNs6Cp+k5SUdktL5UMrX2fKALSdLensLHZOytOyQtr1R0rcl3ZHK0hxJt0n6mqRVmnT2h3QvT5X051TG5kt6Sh5M5jRJu0ka0aBjU0knJR2Fo/9DqewdnirDdcfeo5pgM12O2S475uYG2Xeke3J7ur55kh6VR1k7QtKrGo4fn51rQtq2ujwIzw2pbC7ofFbSc/xOSV9N58qfwUck/Vb+7lipzTVnevdJz+9jSddMSedJ2iWTaR1FM6VzT3nAoXvkgXzmJr1TJO0h9csPtu58W+J+uQAXmNn8GtF/wodxA9zVudPM/o4P5wMflt55njcBX05/j03y/eGX+DB8aGgADYJXBGYWSyxDtuBBHCwtY4F/zf7v1OW4S5PMLHxY3aTsuMMq5AXcm8n8zyBew79neq9vecwnsmOmAxpgGv4j0/ejAejZIdPzh5bH7Jcdc37F/q9l+7st84AjWp5zY+DWlnoP6KLnk7jPQJOOBTXHF/tntMjPScC6uB9b3XleBo5suPazWl73HGCvGh0TWuowYHzdM9uQznF440I33S8DPwSW7aJnUia/A95IMaeLzoeAsYP4fK+DN5S0yasv1ehYFo+ktqDh+JnAVi3u2Ykt0356dsy/1sisjAeqabq2h+rSlvSMz2Qn4P43j1XomdFx3NUt8/Z/ge1aXPNo4JIGXRPTPen6/GY6N8JHHzSl8VrgNYNU7r6d6d2ji9wqmdwXKvYvA7yY9p9Usf+ytO/SQUjzLUnXAmCNwXoGY4llSVzCBypY1JyNO6COxH2KLukUkPskFf5OPzWzF1s0/L0NeGP2/4cDT+o/mIRXGEYAW0kaa2YLtQR2kA/fm2hmNsA0rJ2t97cFEeD3wAN4JKYtJb3ZzP7WcMwB2fpZFftzf7PrgTtww/dlPN3vxgN6LAecLGmOmU2qO5mkrYFpeEUJ4CXc9+xm3Bgagwf+2C6tV/YKyMP0Hp1tehz3D7gPmI8PRdkyLYPRGz8auBivjN2f1h/BW5A/iAciEXCSpJvN7NoaPUV+PoHn59+A2fh1vh7YETfUVgKmSNrRFg59fAnuL7EFsHfa9jsqnjfgpt4u03sz8IrZqLRpDnBBSuso/Pkdh1/vYXjL+B4tVO+Eh01eBveZvAF4HvcB/Bc8oMvawLmS3m71rfZtr2ND/JlYM20y4Do832elaxmLl7XVqSlruH9j3uN8M54/c/Bhtx/EDZnXA5ele3Zdh46z8GiJAPtK+pyZvdwl7cvjeQL+jCzkY5l6666m7Ol4Hn8G/oIPC14LHyL8JjxfL5e0rZl17c1K13Q0/vzdlXQ+jkc53ahDtijPDwM34g1KT+Pvg/XT+ddIyzRJW5rZHTXXPAKYigf0Kfg97vc6L13nB/BvS6v3pDy4wiX4/QF4NP2/D3+HvSnpXBV4F3CNpC1s4SHZvbJr+rV0DZWY2WxJRd5+ADihQ2Rn/HsKHT1Ukg7Gn8W5wKEDTC94Q8Pb8efz/VR/D4LglcFwW3CxLN0LHT1QaVvRGjoXWKXimAnZMZunbZOybVU9UEdn++cAywzydVyU6e/aOowbC4XsS8BaAzz3q/DKXKHz/QPU941M19caZNdM12ApDSMrZD6Oh4NfaF8ms0+63wY8BaxUI7cGXoHJW3zXr5EdmfRuX7HvwEzHy8BXgRVq9KwFfL1mX9cWbPr2QP2jl4KOHhe8spj3Avy2S14di1d6KsswXnk5irK3Y3oX2fHZOSe0LB//eGa7lMe8t/cqKlrl8Z7LeZncp2r05c+24b0a76yQG4tX0gu5jw7Cc/XXTN+dwNtrZEfgFd4PV+w7NNMxHzioplxfmcndD4yqkLs2k3lvQ/r3ymQvqpGZmsmcTfX7dhncR6aQu6ez/FaUpaIX4ggaetfxZ2/LLvtH4o1qhd7Lusgek8k9B+xSIfNGvBHn5Uy27vldBe8VLN7Vx9Vc+2hgSqZvQCMccKOy0HVvC/lTMvkf4VNwjMENqofT9hfJvjWpzD2Z9n12IOnNdO6TpeP0wdAZSyxL6jLsCYhl6V6oNqB2zbZ9skNe2TG3ZdsnZcdUGVA/zvZfMwTXsUem/9Gqj2wm+61MduognPuETN90YLkB6hub6bu/WwWIvobpDwd43lzXx2tkvpPJ3EqN0dNwnuWzSoUBnx9Amns1oE7pomtVvAegqHyOHmB+/ld23srKNkNjQOUGw0PAmC66jsxkH6HaAM+f7QXAO7roOyyT/cUA8++IjutYrR86lsUD3BR6jukiO5qysm5UDGftuL5JDee+IJPdu2L/e7P953V7zpP89zL5/RvKklHT6DCA+5Ffz5sq9i9H3yGDB3XRtR5lg0235zcffnxUi3t9E6Wxte4ArnWX7Ly/aiG/JtXDJfPlSx3H/IzyPVr7veox3Rtl57t1MO9/LLEsaUsEkQiGg9/ilSnoO9QN/KO/blo/swedeWCDJ2ql+s9UyiEha1IOv+iDPFxsPuRtoeARvZCc6j+TbTrOBjhsyXz44R/T3zdQH7kJmofv9UI+xGi7zp2SlsN9xwo+bWYv9OM8H8J7lcANzv/sh47+MB84vm6nmc3Ch6WBt/q/bYDn65qfQ8hB2frXzedMq+MUfMgo+JDJnRp0TzWzG7vsPzdbbwxQ0cAns/XPmVl/3hvvwX2owN9p/1UnaGZz8Ap7wUEVYlPwXjuAPeoCO8gDuRTBEp6hb5CZgk9n658zM6tLW+Lb2fruDbJzGfy5gPLyvG3F/vdRBkm4ly5zCZrZ/TR8P+RBjA5Pfx8CTu4mb2Yv4UYmeI/kbt3kG9gwW5/ZJGxmj+HP+B8rdj+P399/lK0USGMfvBfuEyntSNpI0k8kPSwPTHO3PFjLqi3Tnad1g5bHBMFSSfhABYscM1sgaTLwOWBzSZuaWRGdrzCo5uFDTtoyJlufUyvVT8xsfkrzsWnTwVRXWnaj/Mj/L+UM7j2ToiedS/mcnmZmF/RXXweTKUPj7o/7SXSefyPKSuq9trDPxkJIWpnSH2005UTBnby5YtuWlH5P95rZNU3nq+G92fpk6+JHMsjcbGaPN8jcTVnxWqNJoTzS3mbA6/C8GZntzis9Vfk56CS/m82zTefWyQKY2cuSfknpi7YN3Z+JaQ36npA0Gx961Zh/dUhaC++JBTcGft5PVVtn6+eb2YIG+V/gveUCNpM0yrIJTc39XX6N93iPxhsDquaP2xvvkQGfImFuvjMZBzukv/ebRxjtipk9LOnv+PCypmiRVzcYzpVIWhsPp70Wfn15HWT9bL2qPOfRRy9sYRBeQGkgVbEZZcPb71q+J27N1ltF1KxhnWz90TYHpHu4paQt8PfyCrjhd6WZzS7kJI2i9AE+2cxuStt3xXsi83fyBvg3bS9J25tZV2POzJ6TNAe/dytKWjU1DAXBK44woILh4kzcgAI3Ro6W9Grgw2nb1B5bhPOPeU/hcHvgDEoDajdJa1RUmPMetclFy1+vyMNq/47yA385/Z+/o4pzgO/i74CPSDrSzF7skGnd+yRpc7z3ZSfavVdeXbEtdz7/QwsddQyWnl5pbEmmr3FfW04lvQ/3pdoWr2w3UZWfQ8G6lEbcQy2f0Vuy9aZW67Z5uAoDe87zMnKr9X9S0Px6/tQkbGZPS7oPNxZG4A0NnVMtnEUZcOMAqg2o/Nms6olZl7JMrKcWIek7WL1hf1MQnT5I2hvvSd+8STZRVZ7zvG4zPUWTTN4DfHAKuNALTXnUjbzBr3aOwirM7I9U90QVfB2//zPxCLJIeg3wE9x4ugX/5t6NB/g5K8mfTXXPXyfPUTZ0jcZ9Y4PgFUcM4QuGhdSaVkQh2z8N3/oo3qoGvQ3fA3eWLVhonqLBwHxS2+vT3+XoW4kpPlL50L6J9IPUOn45PrwO3En/AxUGTr8xnwukmI3+1cA/d6RBeBCAgtrewFTx+AN+7W0bZVao2Jbft6aenG4Mlp5eaTPcMK/IVr5/JX0FN563o53xBNX5ORTkczC1beDI5ZqGCvWShwOZk2ewyshQ5MfFlO+zHSX16WlLPdNbpb8z8fdDJwN9B45q2N8qAl2aW+m/8QabtsYTVJfnPK+frNjfSZPMUOdRN/L3ZL8a2apIvVPF/H6fzHo3D8ff8wuAPc3sdjN7wcym4YE5ALaR1GYocJ7e5WqlgmApJ3qgguFkIj4EZjU8mlDRe/MoZeW+LXdm62+TtMwQDd06g3IoycF40IOCAymfqWutOdT5QiTj6Qo8dC54eN5dzaynVsqWTKY0nPbHJ0os2B4fNgZwnZndW6VA0lvwqFCFMTANN7b+hN/H54vW/WSULarhdEskqedpQvpreMXzXDzs9GPA3MIHTtJ6eKjlYCnCzOZJmoL7aC2LNyzlvlX7Z+s/qRnKln/bHwZOGuRktn2OP54WcB/Bibg/6Z244Tq3GPYo6d2UPoKLgjyPrkrp6oUHB3Du/H0+KI0fyf/2dPxdfI6ZXZztLvzlLjOfmD3nHOBUvEd3F6oN8pzcL++5WqkgWMoJAyoYTn6OO+6Owp2ri2E1k1v4EnRyRbY+Bh+f3s0Zvb9MwSsjKwEbSxpnZsUwsXwISM/BIzLjqXAwvg4P0ztUH6mpeEvyysCuHePZm4YIFRxO2Qp5kpkd3UV25S77oG+Lcb/9WwZRz3BwZLZ+tJnVBiWgOT+HgtnZetsW/NWy9cVluM9glZGhyo+zKINcHEC9AVX3bObXN9fMvl0jN9Tk5flfGnw4m8rzU9l6m7xuksnz6O5FnEf5HFVtAzg0cSzu1zULn7A+p/imTO88KBnsD+Df366+lMm3rrhPRruewCBYKokhfMGwYWbP4k7V0Ncnodfhe+CzyOet8d2ch/tNSvOUbNPHACRthc//BO6j0ZNTejKerqT80F0P7JzONySkCHdF/o8kTbgqaQXKSUHn0f1atsrWv9twyrc27P9rtj6uQXZR6BkOivx8gebJoJvycyiYSRkl7nUpGlwTebS8xmAGi4i8jGwmaWStZHfyCmljVMAUZKWY8HsBNT2IZnZDpnvz1NOLpHdRBlu4yeonwZ5J2cuxnqTRNXJDhqQVgU3S3/taBMBpKs95Xm9SK9Veps+ohRb6BpP7s/V1aqVaIml9ykmYj6vwzS3uf933ZE6HXB2voWx4f2QAvoNBsMQTBlQw3HT6CV3XpVJQSxrGkoer3j9VNnpC0gpptvtu5L1L+6RQw3nwiCm99BqlyFRXUjpJ34AbT4MeTbCCvAW7aNnendLJ+dd5hKcKcr+Ept6FvRr230QZDGR9Sd3Cq3fjsmz9wNRquqRQ5OezLSonTfkJPmyqoKlcN5L88G5um4aU93tmm66tk12UmNmjlBXoVwEf6aeq/Ho+1OLdsSel79atDe+JPHDL/h2/nfv7kMpOMRRrBP2/voHQy7sB+paTKvIooE1h1gE+2LD/RkrDYXNJG3YTHmRuz9YHI4Lmj/ByfLmZVTVAFtf52prj1+qQq2Nstn5b++QFwdLHklSxCJZCzOxqfOLZU9MyYQDqJlFG/BoB/FxS61Z6SRvgPT9dW+HM7HrKytfKeKVm70yk9fC9ZDxdQWk83Qi8vz8hgvvJNfjEqQDvSi2ZbYfvQd8hHLVO4qkF/ZBuilLEwtOzTd9PvWG98ivKecY2AP6tHzqGiyI/V5P0+johSe+hXSUyd/YfrKFC/5Otf6Ghd+NwynndHsXngFtc+EG2/s0UMr5XLqf0hVmHvnMv9SGFl/5StmlSg+6zKQNm7JdCyBfvmflUR+fL+X62frykusrzQiR/xYEymzL9b6mb0yqdbzw+/Kwbl+JTQ4A3sBzYRd96+MS/tSRfwtPS32WAU1sYwPk5BpJHf6X0H3rrQBp5Ut69F++1PrRGrOj53bbzXOmdv06HXB35PRqKIfJBsMQQBlQw7JjZv5nZp9PyuwHomYeHQS+iXK0NXCvpM2k4SSWS1pV0Mh72tukjXpAbSd+l7LG5Iw2/aaTGeNppERpPRc9dHmHvKGDntP4kHhGsG7nD8SmdEcMAJI0DLqGds/SJeLAE8HtxafrAL4Sk5SXtI2n7fHsqB5/PNp0gaUKdMSZpbUnfaJG2RUGen2dUGSfySTLPa6kv783dfpB64ybjE5kCvB64sOa+70PfYZ3fGOgk0IPMGcAdaX1t4CpJlcPwJI2QtJukD+fbk9H/9WzTtyTtRwfJOLuQMrLmDBqGKqfJYIsernWBb1Iawb9pCiGfgggUz+9awDWSasNUS1pO0s6SLqScTqLfpMA3RbjtUcCPkhHYed7xeA9K11Drqezkfko/lLRzp1wynn5Nu/fNf1IawO8Dpkl6Q52wpJUlHSTpTwwgil8qN0XAjJVo/93pTM/qlHlyvJndUyNaBGVaj4UncP4yZa9oUwNHHqXvkrbpDIKlkQgiESxVmNkDkrbGJ1Ecixs2JwITJF2NV5iewD+ua+I+J/lYeaNdhKmzgP/AAyjk89H0EjwiN57m4x+kQ1o0bD5tZqc3CfXAWaT5QoBPUX5Mp7So8J6CO7uPwvPxXknn4RXskXjEwncnncfjH+tazOxxSR/Bo/mNwqM03iXpCnzoWBH0YmM8UuAYPHjH7zv0TJbPTXVkOvdXgMMl/Qb3O3kJH86yBe4nJeCLDde6KPgWPgfQCLxCd5+kX+EV7jH4Nb8jybbJz+mSpuPlbGPgaknT6OuQf2kvESPNbG4yEi4HVsQnbJ0u6QLcYBsFvCdLJ3iv4A9YjEjXsSdedtbAfRhvlnQt3hM9C3+234zn++rAV4HzO/T8WNKO+HDG5YCzJR2FDyWdg0fU/BDl3EZzgf1aDvOdjE8+DH0DA3Sdly1jX3x48Ga479VVkm7DJ85+DC/3q+JlY1yWxqae57Z8kzK65wHAdpIuxieAXQ2fN25j3B/sBJqfwe/hQ/O2wcveNElX4j3p85Ku3fHhbCdS9j5XGmdm9qSkD+K9W6sCOwL3SLoKN/5m4d+K1+ATAG9B38msB8Kv8Oiz4M/6LV1k6zgJN+Rux98ddZyGl5+Vgf9OEQ//hr+bi4nHbzCzK2qOL6L8FY1Vj7Fo59gLgsUPM4slliFb8IqfpWXsAPRMyvQc1kJ+DN66OCc7rtvyMl5p36yHNP2yQ8c8YPUejm+TrqplxhDcpxsqzvOOlsfu0pDPL+M9EWp7DXiF768t82O/LnqOxh2nm3TMb7hHlenFjYdCZlKLvJqQyY+vkflYKkt1aZ0HHIf3ZhTbruxyzl0b9I3vkJ9R7Gu4lnH0fb7r7v1pwLItn+0dWuRhq/T1UPbXxXt62pS1L9boWBZvTFjQcPwDwDt7SNur8aFZuY7ZwPI96FgR+DHeaNDmGp8Atq7QMz6TmdDD+b+cykHd+Z7F55zbIdtW+yzh7/bLGq5hEm74FP/vaEjjG3BDuk3+GD7UbfQAy90YPNCH4cZLr8fvnI5dAIxrIf8B4MWa63kQWL/h+Pdl8t8ZjGcvlliW5CWG8AVLJWb2jJl9Fv8w/n/gp3jv09/xisQzeCSkC4HPAuuZ2S5mdmsPp+nsbZpqPkHtkkhni/Z0M2s1xt18MsZN8Ark3XiF71k8atZEYFszO8bMrG1i0n3YBPf5+Bnea/Qcfu+ewA2+7wDvMrOfdNHzPXzYyhfwCtJjeG/fC3iksotwI+t1dToWNWY2EfcnOxM3FubhPW934n4tW1gPIZfNh3KNw+/FXXg+tr4XXfT+Ae+dOQxvfHgkS+sduE/j5mZ2mPmQpcUSM5tpZlvjDQFn4mX4GbxiOhvv+fwB3ltyQo2Ol8zs03gkvu/jxv/TeH4Uvl+fAjY096Fsm7anWHh+ol9YD5Nqm9nzZnYIfq++hvc+PZrS9gL+TFyDh0rfDVjLzAYt2IeZHQ9si0fzfBh//mbhvSbfBDbt9gxX6HsGr8zvi+fr4+laHsRHHuxuZuNxw7Gg68S/ZjbDzLbHe1hOAW7F3zMv4c/LjHSuCXjD0oY2wCA/6TrOSX/HySdIbkXypyuidJ5i5VQa3c43FX8P/IIyz2bgU4n8P6uZ6y9j30IVfX1Vg+AViXqo0wRBEARBECz2pKHc16S/55jZR4czPVWkIEd/Tn9PTI1+ix2SxuBG94rARWb2zw2HBMFST/RABUEQBEGwtLFbtn5zrdQwYmZ/oQwI8wlJK3WTH0YOpezRO344ExIEiwthQAVBEARBsNQgaR36TqbeNInvcPLv+HDRVfDhsIsVKXLiUenv+W2GCwbBK4EwoIIgCIIgWCKQdISkPVNUuKr9b8UjmhYRBS82s+mLLIE9YmZ34v6CAJ9Nw+UWJ47Ew+C/ABw7zGkJgsWGCGMeBEEQBMGSwsZ44IMnUgjzIjDKqniQhG0pG4dn0bcnanHly3hahYe9709I86HiRTx8/5/N5yYLgoAIIhEEQRAEwRKCpNNwn5wm7gY+lHp4giAIBpUwoIIgCIIgWCKQtAbwYXzeqLH4BMer4SHH/45PgHsh8LPFOXx+EARLNmFABUEQBEEQBEEQtCSCSARBEARBEARBELQkDKggCIIgCIIgCIKWhAEVBEEQBEEQBEHQkjCggiAIgiAIgiAIWhIGVBAEQRAEQRAEQUvCgAqCIAiCIAiCIGhJGFBBEARBEARBEAQtCQMqCIIgCIIgCIKgJWFABUEQBEEQBEEQtCQMqCAIgiAIgiAIgpaEARUEQRAEQRAEQdCSMKCCIAiCIAiCIAhaEgZUEARBEARBEARBS/4PBWoEjK5UAfsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 281,
       "width": 424
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# chose color map\n",
    "cmap = plt.get_cmap('tab10')\n",
    "my_colors = cmap(np.linspace(0, 1, len(my_countries)))\n",
    "\n",
    "for my_c, i in zip(my_countries, range(len(my_countries))):\n",
    "\n",
    "    data_filter = (measles_df.ISO_code == my_c) & (measles_df.prevalence > 0)\n",
    "\n",
    "    if my_c == 'USA':\n",
    "        my_marker = '*'\n",
    "    elif my_c == 'CAN':\n",
    "        my_marker = 'x'\n",
    "    else:\n",
    "        my_marker = '.'\n",
    "\n",
    "    plt.scatter(measles_df.vacc_cov[data_filter],\n",
    "                measles_df.prevalence[data_filter],\n",
    "                label=my_c,\n",
    "                s=20,\n",
    "                marker=my_marker,\n",
    "                c=my_colors[i, ].reshape(1, my_colors.shape[1]))\n",
    "\n",
    "plt.yscale('log')\n",
    "\n",
    "plt.ylabel('measles cases / million', size=16)\n",
    "plt.xlabel('MCV2 vaccination coverage (%)', size=16)\n",
    "\n",
    "plt.legend(bbox_to_anchor=[1, 1])\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "source": [
    "same plot – version with arrows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 281,
       "width": 421
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# chose color map for arrows\n",
    "cmap = plt.get_cmap('tab10')\n",
    "colors = cmap(np.linspace(0, 1, len(my_countries)))\n",
    "\n",
    "for my_c, my_color in zip(my_countries, colors):\n",
    "\n",
    "    # subset df with given coutry\n",
    "    df = measles_df.loc[measles_df.ISO_code == my_c,\n",
    "                        ['vacc_cov', 'prevalence', 'year']]\n",
    "\n",
    "    # better to reset the index\n",
    "    df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "    # plot arrows\n",
    "    plt.quiver(df.vacc_cov.iloc[:-1],\n",
    "               df.prevalence.iloc[:-1],\n",
    "               df.vacc_cov.diff()[1:],\n",
    "               df.prevalence.diff()[1:],\n",
    "               color=my_color,\n",
    "               scale_units='xy',\n",
    "               angles='xy',\n",
    "               scale=1,\n",
    "               width=0.004,\n",
    "               label=my_c)\n",
    "\n",
    "plt.yscale('log')\n",
    "\n",
    "plt.ylabel('measles cases / million', size=16)\n",
    "plt.xlabel('vaccination coverage (%)', size=16)\n",
    "\n",
    "plt.legend(bbox_to_anchor=[1.05, 1])\n",
    "# plt.legend()\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## averages plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# remove useless var\n",
    "who_cases_df.drop(labels='Country',inplace=True,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2011 2012 2013 2014 2015 2016 2017 2018]\n",
      "[2011 2012 2013 2014 2015 2016 2017 2018 2019]\n",
      "[2011 2012 2013 2014 2015 2016 2017 2018]\n"
     ]
    }
   ],
   "source": [
    "print(melted_pop.year.unique())\n",
    "print(who_cases_df.year.unique())\n",
    "print(who_vacc_df.year.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# subset years and countries first\n",
    "filters_cases = (who_cases_df.year.isin(melted_pop.year.unique())) & \\\n",
    "            (who_cases_df.ISO_code.isin(my_countries))\n",
    "\n",
    "# compute tot cases sum ...\n",
    "cases_sum = who_cases_df.loc[filters_cases,['ISO_code','cases']].groupby('ISO_code').sum().cases\n",
    "\n",
    "# subset for \n",
    "filters_pop = melted_pop.ISO_code.isin(my_countries)\n",
    "\n",
    "# ...and average pop \n",
    "average_pop = melted_pop.loc[filters_pop,['ISO_code','population']].groupby('ISO_code').mean().population\n",
    "\n",
    "# and normalize\n",
    "norm_tot_cases = cases_sum /average_pop * 10**6\n",
    "\n",
    "del cases_sum,average_pop\n",
    "gc.collect();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "cell_style": "center",
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 256,
       "width": 408
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot with NO vacc\n",
    "plt.plot(norm_tot_cases,linestyle='',marker='.');\n",
    "plt.ylabel('measles cases in 2011-2018\\n(cases, per million)')\n",
    "\n",
    "plt.yscale('log');\n",
    "plt.ylim([1,1e3]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# subset years and countries first\n",
    "filters_vacc = (who_vacc_df.ISO_code.isin(my_countries)\n",
    "                & who_vacc_df.year.isin(melted_pop.year.unique()))\n",
    "\n",
    "# compute average vacc...\n",
    "average_vacc = who_vacc_df.loc[filters_vacc, ['ISO_code', 'vacc_cov']].groupby(\n",
    "    'ISO_code').mean().vacc_cov\n",
    "\n",
    "# ...and merge\n",
    "norm_tot_cases_aver_vacc = {\n",
    "    'norm_tot_cases': norm_tot_cases,\n",
    "    'average_vacc': average_vacc\n",
    "}\n",
    "\n",
    "norm_tot_cases_aver_vacc = pd.DataFrame(norm_tot_cases_aver_vacc)\n",
    "norm_tot_cases_aver_vacc['Country'] = [\n",
    "    'Canada', 'Switzerland', 'Germany', 'Spain', 'France', 'UK', 'Italy', 'USA'\n",
    "]\n",
    "\n",
    "del norm_tot_cases, average_vacc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# set new order to highlight diff. EU VS north-america\n",
    "new_order = ['CAN', 'USA', 'CHE', 'DEU', 'ESP', 'FRA', 'GBR', 'ITA']\n",
    "norm_tot_cases_aver_vacc = norm_tot_cases_aver_vacc.reindex(index=new_order)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 421
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "aver_cases_plot = sns.scatterplot('average_vacc',\n",
    "                                  'norm_tot_cases',\n",
    "                                  'Country',\n",
    "                                  data=norm_tot_cases_aver_vacc)\n",
    "\n",
    "plt.yscale('log')\n",
    "plt.ylim([1, 1e3])\n",
    "\n",
    "plt.ylabel('total measles cases\\n[2011-2018] (cases, per million)')\n",
    "plt.xlabel('average MCV2 vaccination coverage [2011-2018]')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('us_westeu_prev_vacc_averaged.pdf')"
   ]
  }
 ],
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