updated data, exluded 2 additional studies

python/covid_worker.py

@@ -179,13 +179,15 @@ def run():
     new_data_df = get_trials_df_from_url()
     # remove wrong case NCT04256395
     studies_to_delete = ["NCT04256395", "NCT04226157", "ISRCTN51287266", "NCT03042143", "NCT03891420",
-                         "EUCTR2019-002688-89-ES", "EUCTR2017-001100-30-DE", "NCT04389372", "NCT04404192"]
+                         "EUCTR2019-002688-89-ES", "EUCTR2017-001100-30-DE", "NCT04389372", "NCT04404192",
+                         "ISRCTN55201674", "NCT04435028", "NCT04428099"]
     for study in studies_to_delete:
         new_data_df = new_data_df.drop(new_data_df[new_data_df['TrialID'] == study].index, axis=0)
     # for some studies that have been running for a while and have now been updated to incorporate COVID-19
     # as well the suggestions by Markus Reis and Konstantin is to use the  date in "Last Update Post" instead
     studies_updated = ["EUCTR2015-002340-14-NL", "NCT03331445", "NCT04061382", "NCT03680274", "NCT03808922", "NCT03042143"
-        , "NCT04092478", "EUCTR2018-004318-16-DK", "NCT03648372", "NCT02765191", "NCT04193878"]
+        , "NCT04092478", "EUCTR2018-004318-16-DK", "NCT03648372", "NCT02765191", "NCT04193878", "NCT03963622", "NCT03376854",
+                       "ISRCTN18274006", "ISRCTN16483855"]
     needsUpdate = new_data_df['TrialID'].isin(studies_updated)
     new_data_df["Date registration"] = np.where(needsUpdate,
                                                 new_data_df["Last Refreshed on"],