diff --git a/src/help.txt b/src/help.txt
index 4d166f516b2..d41c20b7ae5 100644
--- a/src/help.txt
+++ b/src/help.txt
@@ -9,6 +9,7 @@ zwei Spalten darstellen:
 src/intensivstationen/AGS_2022-02-28.json downloaded from https://www.xrepository.de/details/urn:de:bund:destatis:bevoelkerungsstatistik:schluessel:ags
 
 04-kreise.xlsx: https://www.destatis.de/DE/Themen/Laender-Regionen/Regionales/Gemeindeverzeichnis/Administrativ/04-kreise.html
+COVID-19_Todesfaelle.xlsx: https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Projekte_RKI/COVID-19_Todesfaelle.html
 
 get VAERS data:
 - download data (e.g. 2022VAERSData.zip) from https://vaers.hhs.gov/data/datasets.html and save and unzip in VAERS folder
diff --git a/src/intensivstationen/Intensivstationen.ipynb b/src/intensivstationen/Intensivstationen.ipynb
index 3175688d2bf..e27b34480ae 100644
--- a/src/intensivstationen/Intensivstationen.ipynb
+++ b/src/intensivstationen/Intensivstationen.ipynb
@@ -72,16 +72,11 @@
     "        self.kreise = kreise\n",
     "\n",
     "    def addKreisAndBundeslandAndEinwohnerzahlColumns(self, dataFrame):\n",
-    "        dataFrame['Kreis'] = dataFrame['gemeindeschluessel'].map(\n",
-    "            lambda gemeindeschluessel: self.kreise.loc[gemeindeschluessel, 3])\n",
-    "\n",
-    "        dataFrame['Bundesland'] = dataFrame['bundesland'].map(\n",
-    "            lambda bundesland: self.kreise.loc[bundesland, '2'])\n",
-    "\n",
-    "        dataFrame['Einwohnerzahl'] = dataFrame['gemeindeschluessel'].map(\n",
-    "            lambda gemeindeschluessel: int(self.kreise.loc[gemeindeschluessel, 6]))\n",
-    "\n",
-    "        return dataFrame\n"
+    "        dataFrame_kreise = pd.merge(dataFrame, self.kreise, how = 'left', left_on = 'gemeindeschluessel', right_index = True)\n",
+    "        dataFrame['Kreis'] = dataFrame_kreise[3]\n",
+    "        dataFrame['Einwohnerzahl'] = dataFrame_kreise[6]\n",
+    "        dataFrame['Bundesland'] = dataFrame['bundesland'].map(lambda bundesland: self.kreise.loc[bundesland, '2'])\n",
+    "        return dataFrame"
    ]
   },
   {