2222 'pneumonia_deaths' , 'pneumonia_and_covid_deaths' , 'influenza_deaths' ,
2323 'pneumonia_influenza_or_covid_19_deaths'
2424]
25+ SENSOR_NAME_MAP = {
26+ "covid_deaths" : "deaths_covid_incidence" ,
27+ "total_deaths" : "deaths_allcause_incidence" ,
28+ "percent_of_expected_deaths" : "deaths_percent_of_expected" ,
29+ "pneumonia_deaths" : "deaths_pneumonia_notflu_incidence" ,
30+ "pneumonia_and_covid_deaths" : "deaths_covid_and_pneumonia_notflu_incidence" ,
31+ "influenza_deaths" : "deaths_flu_incidence" ,
32+ "pneumonia_influenza_or_covid_19_deaths" : "deaths_pneumonia_or_flu_or_covid_incidence"
33+ }
2534SENSORS = [
2635 "num" ,
2736 "prop"
@@ -62,7 +71,7 @@ def run_module():
6271 df ["val" ] = df [metric ]
6372 df ["se" ] = np .nan
6473 df ["sample_size" ] = np .nan
65- sensor_name = "_" .join (["wip" , metric ])
74+ sensor_name = "_" .join (["wip" , SENSOR_NAME_MAP [ metric ] ])
6675 export_csv (
6776 df ,
6877 geo_name = geo_res ,
@@ -79,7 +88,7 @@ def run_module():
7988 df ["val" ] = df [metric ] / df ["population" ] * INCIDENCE_BASE
8089 df ["se" ] = np .nan
8190 df ["sample_size" ] = np .nan
82- sensor_name = "_" .join (["wip" , metric , sensor ])
91+ sensor_name = "_" .join (["wip" , SENSOR_NAME_MAP [ metric ] , sensor ])
8392 export_csv (
8493 df ,
8594 geo_name = geo_res ,
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