diff --git a/src/SymptomsByBatchcodesTableFactory.py b/src/SymptomsByBatchcodesTableFactory.py
new file mode 100644
index 00000000000..da0fe432adb
--- /dev/null
+++ b/src/SymptomsByBatchcodesTableFactory.py
@@ -0,0 +1,8 @@
+import pandas as pd
+
+
+class SymptomsByBatchcodesTableFactory:
+
+    @staticmethod
+    def createSymptomsByBatchcodesTable(vaxTable, symptomsTable):
+        return pd.DataFrame({'A': []})
diff --git a/src/SymptomsByBatchcodesTableFactoryTest.py b/src/SymptomsByBatchcodesTableFactoryTest.py
new file mode 100644
index 00000000000..69f1126cd8b
--- /dev/null
+++ b/src/SymptomsByBatchcodesTableFactoryTest.py
@@ -0,0 +1,47 @@
+import unittest
+from pandas.testing import assert_frame_equal
+from TestHelper import TestHelper
+from SymptomsByBatchcodesTableFactory import SymptomsByBatchcodesTableFactory
+import pandas as pd
+import numpy as np
+
+class SymptomsByBatchcodesTableFactoryTest(unittest.TestCase):
+
+    def test_createSymptomsByBatchcodesTable(self):
+        # Given
+        VAERSVAX = TestHelper.createDataFrame(
+            columns = ['VAX_TYPE', 'VAX_MANU',        'VAX_LOT', 'VAX_DOSE_SERIES'],
+            data = [  ['COVID19',  'JANSSEN',         '1808982', 'UNK'],
+                      ['COVID19',  'PFIZER\BIONTECH', 'EW0175',  '1']],
+            index = pd.Index(
+                    name = 'VAERS_ID',
+                    data=[
+                        2547730,
+                        2547730]),
+            dtypes = {
+                'VAX_DOSE_SERIES': 'string',
+                'VAX_LOT': 'string'})
+        VAERSSYMPTOMS = TestHelper.createDataFrame(
+            columns = ['SYMPTOM1',                            'SYMPTOM2',                'SYMPTOM3',        'SYMPTOM4',                   'SYMPTOM5'],
+            data = [  ['Blood pressure orthostatic abnormal', 'COVID-19',                'Coma',            'Computerised tomogram',      'Exposure to SARS-CoV-2'],
+                      ['Head injury',                         'Headache',                'Laboratory test', 'Magnetic resonance imaging', 'SARS-CoV-2 antibody test negative'],
+                      ['SARS-CoV-2 test positive',            'Unresponsive to stimuli', 'X-ray',           np.nan,                       np.nan]],
+            index = pd.Index(
+                    name = 'VAERS_ID',
+                    data=[
+                        2547730,
+                        2547730,
+                        2547730]))
+                
+        # When
+        symptomsByBatchcodesTable = SymptomsByBatchcodesTableFactory.createSymptomsByBatchcodesTable(VAERSVAX, VAERSSYMPTOMS)
+
+        # Then
+        assert_frame_equal(
+            symptomsByBatchcodesTable,
+            TestHelper.createDataFrame(
+                columns = ['Blood pressure orthostatic abnormal', 'COVID-19', 'Coma', 'Computerised tomogram', 'Exposure to SARS-CoV-2', 'Head injury', 'Headache', 'Laboratory test', 'Magnetic resonance imaging', 'SARS-CoV-2 antibody test negative', 'SARS-CoV-2 test positive', 'Unresponsive to stimuli', 'X-ray'],
+                data = [  [1,                                     1,          1,      1,                        1,                        1,             1,         1,                 1,                            1,                                   1,                          1,                         1]],
+                index = pd.MultiIndex.from_tuples(
+                    names =   ['VAX_LOT1', 'VAX_LOT2'],
+                    tuples = [['1808982',  'EW0175']])))