diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index 82abff26e63..875e50bd2bf 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -1002,6 +1002,37 @@
     "saveBatchCodeTable(vaers, \"JANSSEN\", \"results/batchCodes/janssen.xlsx\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e096e1ed",
+   "metadata": {},
+   "source": [
+    "### International batch codes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b13b0d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nonDomesticVaers = getNonDomesticVaers()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b13b0d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nonDomesticCovid19Vaers = DataFrameFilter().filterByCovid19(nonDomesticVaers)\n",
+    "batchCodeTable = BatchCodeTableFactory._createSummationTableByVAX_LOT(nonDomesticCovid19Vaers)\n",
+    "display(batchCodeTable)\n",
+    "saveDataFrameAsExcelFile(batchCodeTable, \"results/batchCodes/international.xlsx\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f677b620",
@@ -1079,9 +1110,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# https://www.howbadismybatch.com/international.html\n",
-    "\n",
-    "nonDomesticVaers = getNonDomesticVaers()"
+    "# https://www.howbadismybatch.com/international.html"
    ]
   },
   {
diff --git a/help.txt b/help.txt
index 60ae04122a3..dc3e565ab58 100644
--- a/help.txt
+++ b/help.txt
@@ -4,6 +4,8 @@ get VAERS data:
 - download data (e.g. 2022VAERSData.zip) from https://vaers.hhs.gov/data/datasets.html and save and unzip in VAERS folder
 
 FK-TODO:
+- publish all figures and tables (as interactive HTML-Pages?)
+- Vergleich Grippe mit Covid19
 - https://www.howbadismybatch.com/geography.html nachprogrammieren
 - handle VAX_DOSE_SERIES = 'UNK' or 'N/A' like '1'?
 - Format des jeweiligen Herstellers berücksichtigen und "verschmutzte" Einträge säubern, denn sie stellen alle dieselbe Charge dar: