{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Incidence de la varicelle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import isoweek"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les données de l'incidence de la varicelle sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1991 et se termine avec une semaine récente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_url = \"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voici l'explication des colonnes données [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
    "\n",
    "| Nom de colonne | Libellé de colonne                                                                                                                |\n",
    "|----------------|-----------------------------------------------------------------------------------------------------------------------------------|\n",
    "| week           | Semaine calendaire (ISO 8601)                                                                                                     |\n",
    "| indicator      | Code de l'indicateur de surveillance                                                                                              |\n",
    "| inc            | Estimation de l'incidence de consultations en nombre de cas                                                                       |\n",
    "| inc_low        | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation                                                     |\n",
    "| inc_up         | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation                                                     |\n",
    "| inc100         | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants)                                   |\n",
    "| inc100_low     | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
    "| inc100_up      | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
    "| geo_insee      | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/                            |\n",
    "| geo_name       | Libellé de la zone géographique (ce libellé peut être modifié sans préavis)                                                       |\n",
    "\n",
    "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "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>week</th>\n",
       "      <th>indicator</th>\n",
       "      <th>inc</th>\n",
       "      <th>inc_low</th>\n",
       "      <th>inc_up</th>\n",
       "      <th>inc100</th>\n",
       "      <th>inc100_low</th>\n",
       "      <th>inc100_up</th>\n",
       "      <th>geo_insee</th>\n",
       "      <th>geo_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>202327</td>\n",
       "      <td>7</td>\n",
       "      <td>7900</td>\n",
       "      <td>4679</td>\n",
       "      <td>11121</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202326</td>\n",
       "      <td>7</td>\n",
       "      <td>9199</td>\n",
       "      <td>6218</td>\n",
       "      <td>12180</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>202325</td>\n",
       "      <td>7</td>\n",
       "      <td>11498</td>\n",
       "      <td>8257</td>\n",
       "      <td>14739</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202324</td>\n",
       "      <td>7</td>\n",
       "      <td>11115</td>\n",
       "      <td>7968</td>\n",
       "      <td>14262</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202323</td>\n",
       "      <td>7</td>\n",
       "      <td>12563</td>\n",
       "      <td>6134</td>\n",
       "      <td>18992</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>29</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1696</th>\n",
       "      <td>199101</td>\n",
       "      <td>7</td>\n",
       "      <td>15565</td>\n",
       "      <td>10271</td>\n",
       "      <td>20859</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1697</th>\n",
       "      <td>199052</td>\n",
       "      <td>7</td>\n",
       "      <td>19375</td>\n",
       "      <td>13295</td>\n",
       "      <td>25455</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>199051</td>\n",
       "      <td>7</td>\n",
       "      <td>19080</td>\n",
       "      <td>13807</td>\n",
       "      <td>24353</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>199050</td>\n",
       "      <td>7</td>\n",
       "      <td>11079</td>\n",
       "      <td>6660</td>\n",
       "      <td>15498</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>199049</td>\n",
       "      <td>7</td>\n",
       "      <td>1143</td>\n",
       "      <td>0</td>\n",
       "      <td>2610</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>FR</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1701 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
       "0     202327          7   7900     4679   11121      12           7   \n",
       "1     202326          7   9199     6218   12180      14          10   \n",
       "2     202325          7  11498     8257   14739      17          12   \n",
       "3     202324          7  11115     7968   14262      17          12   \n",
       "4     202323          7  12563     6134   18992      19           9   \n",
       "...      ...        ...    ...      ...     ...     ...         ...   \n",
       "1696  199101          7  15565    10271   20859      27          18   \n",
       "1697  199052          7  19375    13295   25455      34          23   \n",
       "1698  199051          7  19080    13807   24353      34          25   \n",
       "1699  199050          7  11079     6660   15498      20          12   \n",
       "1700  199049          7   1143        0    2610       2           0   \n",
       "\n",
       "      inc100_up geo_insee geo_name  \n",
       "0            17        FR   France  \n",
       "1            18        FR   France  \n",
       "2            22        FR   France  \n",
       "3            22        FR   France  \n",
       "4            29        FR   France  \n",
       "...         ...       ...      ...  \n",
       "1696         36        FR   France  \n",
       "1697         45        FR   France  \n",
       "1698         43        FR   France  \n",
       "1699         28        FR   France  \n",
       "1700          5        FR   France  \n",
       "\n",
       "[1701 rows x 10 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data = pd.read_csv(data_url, encoding = 'iso-8859-1', sep=\",\", skiprows=1)\n",
    "raw_data"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Y a-t-il des points manquants dans ce jeux de données ? Non, aucune semaine n'est manquante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "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>week</th>\n",
       "      <th>indicator</th>\n",
       "      <th>inc</th>\n",
       "      <th>inc_low</th>\n",
       "      <th>inc_up</th>\n",
       "      <th>inc100</th>\n",
       "      <th>inc100_low</th>\n",
       "      <th>inc100_up</th>\n",
       "      <th>geo_insee</th>\n",
       "      <th>geo_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
       "Index: []"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data[raw_data.isnull().any(axis=1)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nos données utilisent une convention inhabituelle: le numéro de\n",
    "semaine est collé à l'année, donnant l'impression qu'il s'agit\n",
    "de nombre entier. C'est comme ça que Pandas les interprète.\n",
    "  \n",
    "Un deuxième problème est que Pandas ne comprend pas les numéros de\n",
    "semaine.  Il faut lui fournir les dates de début et de fin de\n",
    "semaine. Nous utilisons pour cela la bibliothèque `isoweek`.\n",
    "\n",
    "Comme la conversion des semaines est devenu assez complexe, nous\n",
    "écrivons une petite fonction Python pour cela. Ensuite, nous\n",
    "l'appliquons à tous les points de nos donnés. Les résultats vont\n",
    "dans une nouvelle colonne 'period'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def convert_week(year_and_week_int):\n",
    "    year_and_week_str = str(year_and_week_int)\n",
    "    year = int(year_and_week_str[:4])\n",
    "    week = int(year_and_week_str[4:])\n",
    "    w = isoweek.Week(year, week)\n",
    "    return pd.Period(w.day(0), 'W')\n",
    "\n",
    "raw_data['period'] = [convert_week(yw) for yw in raw_data['week']]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il restent deux petites modifications à faire.\n",
    "\n",
    "Premièrement, nous définissons les périodes d'observation\n",
    "comme nouvel index de notre jeux de données. Ceci en fait\n",
    "une suite chronologique, ce qui sera pratique par la suite.\n",
    "\n",
    "Deuxièmement, nous trions les points par période, dans\n",
    "le sens chronologique."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sorted_data = raw_data.set_index('period').sort_index()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous vérifions la cohérence des données. Entre la fin d'une période et\n",
    "le début de la période qui suit, la différence temporelle doit être\n",
    "zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n",
    "d'une seconde.\n",
    "\n",
    "Ceci s'avère tout à fait juste pour toutes les périodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "periods = sorted_data.index\n",
    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
    "    delta = p2.to_timestamp() - p1.end_time\n",
    "    if delta > pd.Timedelta('1s'):\n",
    "        print(p1, p2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un premier regard sur les données !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='period'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sorted_data['inc'].plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='period'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sorted_data['inc'][-200:].plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Etude de l'incidence annuelle"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Etant donné que le pic de l'épidémie se situe en hiver, à cheval\n",
    "entre deux années civiles, nous définissons la période de référence\n",
    "entre deux minima de l'incidence, du 1er septembre de l'année $N$ au\n",
    "1er septembre de l'année $N+1$.\n",
    "\n",
    "Notre tâche est un peu compliquée par le fait que l'année ne comporte\n",
    "pas un nombre entier de semaines. Nous modifions donc un peu nos périodes\n",
    "de référence: à la place du 1er août de chaque année, nous utilisons le\n",
    "premier jour de la semaine qui contient le 1er août.\n",
    "\n",
    "Comme l'incidence de syndrome grippal est très faible en été, cette\n",
    "modification ne risque pas de fausser nos conclusions.\n",
    "\n",
    "Encore un petit détail: les données commencent an décembre 1990, ce qui\n",
    "rend la première année incomplète. Nous commençons donc l'analyse en 1991."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "first_august_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
    "                     for y in range(1991,\n",
    "                                    sorted_data.index[-1].year)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En partant de cette liste des semaines qui contiennent un 1er septembre, nous obtenons nos intervalles d'environ un an comme les périodes entre deux semaines adjacentes dans cette liste. Nous calculons les sommes des incidences hebdomadaires pour toutes ces périodes.\n",
    "\n",
    "Nous vérifions également que ces périodes contiennent entre 51 et 52 semaines, pour nous protéger contre des éventuelles erreurs dans notre code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "year = []\n",
    "yearly_incidence = []\n",
    "for week1, week2 in zip(first_august_week[:-1],\n",
    "                        first_august_week[1:]):\n",
    "    one_year = sorted_data['inc'][week1:week2-1]\n",
    "    assert abs(len(one_year)-52) < 2\n",
    "    yearly_incidence.append(one_year.sum())\n",
    "    year.append(week2.year)\n",
    "yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voici les incidences annuelles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_incidence.plot(style='*')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Une liste triée permet de plus facilement répérer les valeurs les plus élevées (à la fin)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2020    221186\n",
       "2021    376290\n",
       "2002    516689\n",
       "2018    542312\n",
       "2017    551041\n",
       "1996    564901\n",
       "2019    584066\n",
       "2015    604382\n",
       "2000    617597\n",
       "2001    619041\n",
       "2012    624573\n",
       "2005    628464\n",
       "2006    632833\n",
       "2022    641397\n",
       "2011    642368\n",
       "1993    643387\n",
       "1995    652478\n",
       "1994    661409\n",
       "1998    677775\n",
       "1997    683434\n",
       "2014    685769\n",
       "2013    698332\n",
       "2007    717352\n",
       "2008    749478\n",
       "1999    756456\n",
       "2003    758363\n",
       "2004    777388\n",
       "2016    782114\n",
       "2010    829911\n",
       "1992    832939\n",
       "2009    842373\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yearly_incidence.sort_values()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population\n",
    "  française, sont assez rares: il y en eu une au cours des 32 dernières années."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_incidence.hist(xrot=20)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}