diff --git a/src/DataFrameFilterTest.py b/src/DataFrameFilterTest.py
index b0907a266f8..dfa9e006778 100644
--- a/src/DataFrameFilterTest.py
+++ b/src/DataFrameFilterTest.py
@@ -25,7 +25,7 @@ class DataFrameFilterTest(unittest.TestCase):
                         index = [
                             "0916600",
                             "0916601"],
-                        dtypes = {'VAX_DOSE_SERIES': "string"})
+                        dtypes = {"VAX_DOSE_SERIES": "string"})
                 },
                 {
                     'VAERSDATA': TestHelper.createDataFrame(
@@ -42,7 +42,7 @@ class DataFrameFilterTest(unittest.TestCase):
                             index = [
                                 "1996873",
                                 "1996874"],
-                            dtypes = {'VAX_DOSE_SERIES': "string"})
+                            dtypes = {"VAX_DOSE_SERIES": "string"})
                     }
             ])
         dataFrameFilter = DataFrameFilter()
@@ -60,5 +60,5 @@ class DataFrameFilterTest(unittest.TestCase):
                 "0916600",
                 "0916601",
                 "1996874"],
-            dtypes = {'VAX_DOSE_SERIES': "string"})
+            dtypes = {"VAX_DOSE_SERIES": "string"})
         assert_frame_equal(dataFrame, dataFrameExpected, check_dtype = False)
diff --git a/src/VaersDescrReader.py b/src/VaersDescrReader.py
index dccec6cb496..fb19dcb1e08 100644
--- a/src/VaersDescrReader.py
+++ b/src/VaersDescrReader.py
@@ -11,13 +11,15 @@ class VaersDescrReader:
     def readVaersDescrForYear(self, year):
         return {
                     'VAERSDATA': self._readVAERSDATA('{dataDir}/{year}VAERSDATA.csv'.format(dataDir = self.dataDir, year = year)),
-                    'VAERSVAX': self._readVAERSVAX('{dataDir}/{year}VAERSVAX.csv'.format(dataDir = self.dataDir, year = year))
+                    'VAERSVAX': self._readVAERSVAX('{dataDir}/{year}VAERSVAX.csv'.format(dataDir = self.dataDir, year = year)),
+                    'VAERSSYMPTOMS': self._readVAERSSYMPTOMS('{dataDir}/{year}VAERSSYMPTOMS.csv'.format(dataDir = self.dataDir, year = year))
                }
 
     def readNonDomesticVaersDescr(self):
         return {
                     'VAERSDATA': self._readVAERSDATA(self.dataDir + "/NonDomesticVAERSDATA.csv"),
-                    'VAERSVAX': self._readVAERSVAX(self.dataDir + "/NonDomesticVAERSVAX.csv")
+                    'VAERSVAX': self._readVAERSVAX(self.dataDir + "/NonDomesticVAERSVAX.csv"),
+                    'VAERSSYMPTOMS': self._readVAERSSYMPTOMS(self.dataDir + "/NonDomesticVAERSSYMPTOMS.csv")
                }
 
     def _readVAERSDATA(self, file):
@@ -37,6 +39,11 @@ class VaersDescrReader:
                     "VAX_LOT": "string"
                 })
 
+    def _readVAERSSYMPTOMS(self, file):
+        return self._read_csv(
+            file = file,
+            usecols = ['VAERS_ID', 'SYMPTOM1', 'SYMPTOM2', 'SYMPTOM3', 'SYMPTOM4', 'SYMPTOM5'])
+
     def _read_csv(self, file, **kwargs):
         return pd.read_csv(
             file,
diff --git a/src/VaersDescrReaderTest.py b/src/VaersDescrReaderTest.py
index a157a777325..6ab87d9717a 100644
--- a/src/VaersDescrReaderTest.py
+++ b/src/VaersDescrReaderTest.py
@@ -22,8 +22,7 @@ class VaersDescrReaderTest(unittest.TestCase):
                     data = [  [pd.to_datetime('01/01/2023', format = "%m/%d/%Y"),   np.nan,  np.nan,    np.nan,     np.nan,     np.nan,    np.nan]],
                     index = pd.Index(
                             name = 'VAERS_ID',
-                            data=[2547730])),
-                check_dtype = False)
+                            data=[2547730])))
         assert_frame_equal(
                 vaersDescr['VAERSVAX'],
                 TestHelper.createDataFrame(
@@ -31,5 +30,20 @@ class VaersDescrReaderTest(unittest.TestCase):
                     data = [  ['COVID19',  'JANSSEN',  '1808982', 'UNK']],
                     index = pd.Index(
                             name = 'VAERS_ID',
-                            data=[2547730])),
-                check_dtype = False)
+                            data=[2547730]),
+                    dtypes = {
+                        'VAX_DOSE_SERIES': 'string',
+                        'VAX_LOT': 'string'}))
+        assert_frame_equal(
+                vaersDescr['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])))