diff --git a/jhu/delphi_jhu/run.py b/jhu/delphi_jhu/run.py
index 9c9533896..9c4c1c64e 100644
--- a/jhu/delphi_jhu/run.py
+++ b/jhu/delphi_jhu/run.py
@@ -44,12 +44,12 @@
     "cumulative_prop":      ("cumulative_prop", False),
 }
 # Temporarily added for wip_ signals
-WIP_SENSOR_NAME_MAP = {
-    "new_counts":           ("incid_num", False),
-    "cumulative_counts":    ("cumul_num", False),
-    "incidence":            ("incid_prop", False),
-    "cumulative_prop":      ("cumul_prop", False),
-}
+# WIP_SENSOR_NAME_MAP = {
+#     "new_counts":           ("incid_num", False),
+#     "cumulative_counts":    ("cumul_num", False),
+#     "incidence":            ("incid_prop", False),
+#     "cumulative_prop":      ("cumul_prop", False),
+# }
 SMOOTHERS_MAP = {
     "unsmoothed":           (identity, '', False),
     "seven_day_average":    (seven_day_moving_average, '7dav_', True),
@@ -91,9 +91,9 @@ def run_module():
         # Drop early entries where data insufficient for smoothing
         df = df.loc[~df["val"].isnull(), :]
         sensor_name = SENSOR_NAME_MAP[sensor][0]
-        if (SENSOR_NAME_MAP[sensor][1] or SMOOTHERS_MAP[smoother][2]):
-            metric = f"wip_{metric}"
-            sensor_name = WIP_SENSOR_NAME_MAP[sensor][0]
+        # if (SENSOR_NAME_MAP[sensor][1] or SMOOTHERS_MAP[smoother][2]):
+        #     metric = f"wip_{metric}"
+        #     sensor_name = WIP_SENSOR_NAME_MAP[sensor][0]
         sensor_name = SMOOTHERS_MAP[smoother][1] + sensor_name
         create_export_csv(
             df,
diff --git a/jhu/tests/test_run.py b/jhu/tests/test_run.py
index 246cf7e66..60d3e13b1 100644
--- a/jhu/tests/test_run.py
+++ b/jhu/tests/test_run.py
@@ -30,8 +30,8 @@ def test_output_files_exist(self, run_as_module):
             "confirmed_cumulative_num",
             "confirmed_incidence_num",
             "confirmed_incidence_prop",
-            "wip_deaths_cumulative_prop",
-            "wip_confirmed_cumulative_prop",
+            "deaths_7dav_cumulative_prop",
+            "confirmed_7dav_cumulative_prop",
         ]
 
         expected_files = []
diff --git a/jhu/tests/test_smooth.py b/jhu/tests/test_smooth.py
index 43097e9ed..1f77fc76a 100644
--- a/jhu/tests/test_smooth.py
+++ b/jhu/tests/test_smooth.py
@@ -14,7 +14,7 @@ def test_output_files_smoothed(self, run_as_module):
 
         smoothed = pd.read_csv(
             join("receiving",
-                f"{dates[-1]}_state_wip_confirmed_7dav_cumul_num.csv")
+                f"{dates[-1]}_state_confirmed_7dav_cumulative_num.csv")
         )
 
         raw = pd.concat([