diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 20813d4b618..4fce092c656 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -261,19 +261,20 @@
     "    \n",
     "    @staticmethod\n",
     "    def getDoseTable(dataFrame):\n",
+    "        filteredDataFrame = DataFrameFilter(dataFrame).filterByCovid19And()\n",
     "        return DoseAnalysis._getDoseTable(\n",
-    "            dataFrame.groupby(\n",
-    "                dataFrame['VAX_DOSE_SERIES'].rename('Dose')))\n",
+    "            filteredDataFrame.groupby(\n",
+    "                filteredDataFrame['VAX_DOSE_SERIES'].rename('Dose')))\n",
     "\n",
     "    @staticmethod\n",
     "    def getDoseByMonthTable(dataFrame):\n",
-    "        # https://stackoverflow.com/questions/61879166/pandas-groupby-month-and-year-date-as-datetime64ns-and-summarized-by-count\n",
+    "        filteredDataFrame = DataFrameFilter(dataFrame).filterByCovid19And()\n",
     "        return DoseAnalysis._getDoseTable(\n",
-    "            dataFrame.groupby(\n",
+    "            filteredDataFrame.groupby(\n",
     "                [\n",
-    "                    dataFrame['RECVDATE'].dt.year.rename('Year'),\n",
-    "                    dataFrame['RECVDATE'].dt.month.rename('Month'),\n",
-    "                    dataFrame['VAX_DOSE_SERIES'].rename('Dose')\n",
+    "                    filteredDataFrame['RECVDATE'].dt.year.rename('Year'),\n",
+    "                    filteredDataFrame['RECVDATE'].dt.month.rename('Month'),\n",
+    "                    filteredDataFrame['VAX_DOSE_SERIES'].rename('Dose')\n",
     "                ]))\n",
     "\n",
     "    @staticmethod\n",