feat: adapt to latest sheets

Author: sgratzl

src/server/endpoints/covidcast_utils/db_signals.csv

@@ -1,8 +1,8 @@
 Source,Signal,Signal BaseName,Name,Short Description,Description,Time Label,Value Label,Format,Category,High Values Are,Is Smoothed,Is Weighted,Is Cumulative,Has StdErr,Has Sample Size,Link
-chng,smoothed_outpatient_cli,smoothed_outpatient_cli,Smoothed Outpatient CLI,Estimated percentage of outpatient doctor visits primarily about COVID-related symptoms,"Estimated percentage of outpatient doctor visits primarily about COVID-related symptoms, based on Change Healthcare claims data that has been de-identified in accordance with HIPAA privacy regulations, smoothed in time using a Gaussian linear smoother",Date,Value,raw,late,bad,TRUE,FALSE,FALSE,FALSE,FALSE,
-chng,smoothed_adj_outpatient_cli,smoothed_outpatient_cli,Smoothed Adj Outpatient CLI,,,Date,Value,raw,late,bad,TRUE,TRUE,FALSE,FALSE,FALSE,
-chng,smoothed_outpatient_covid,smoothed_outpatient_covid,Smoothed Outpatient Covid,Estimated percentage of outpatient doctor visits with confirmed COVID-19,"Estimated percentage of outpatient doctor visits with confirmed COVID-19, based on Change Healthcare claims data that has been de-identified in accordance with HIPAA privacy regulations, smoothed in time using a Gaussian linear smoother ",Date,Value,raw,late,bad,TRUE,FALSE,FALSE,FALSE,FALSE,
-chng,smoothed_adj_outpatient_covid,smoothed_outpatient_covid,Smoothed Adj Outpatient Covid,,,Date,Value,raw,late,bad,TRUE,TRUE,FALSE,FALSE,FALSE,
+chng-cli,smoothed_outpatient_cli,smoothed_outpatient_cli,Smoothed Outpatient CLI,Estimated percentage of outpatient doctor visits primarily about COVID-related symptoms,"Estimated percentage of outpatient doctor visits primarily about COVID-related symptoms, based on Change Healthcare claims data that has been de-identified in accordance with HIPAA privacy regulations, smoothed in time using a Gaussian linear smoother",Date,Value,raw,late,bad,TRUE,FALSE,FALSE,FALSE,FALSE,
+chng-cli,smoothed_adj_outpatient_cli,smoothed_outpatient_cli,Smoothed Adj Outpatient CLI,,,Date,Value,raw,late,bad,TRUE,TRUE,FALSE,FALSE,FALSE,
+chng-covid,smoothed_outpatient_covid,smoothed_outpatient_covid,Smoothed Outpatient Covid,Estimated percentage of outpatient doctor visits with confirmed COVID-19,"Estimated percentage of outpatient doctor visits with confirmed COVID-19, based on Change Healthcare claims data that has been de-identified in accordance with HIPAA privacy regulations, smoothed in time using a Gaussian linear smoother ",Date,Value,raw,late,bad,TRUE,FALSE,FALSE,FALSE,FALSE,
+chng-covid,smoothed_adj_outpatient_covid,smoothed_outpatient_covid,Smoothed Adj Outpatient Covid,,,Date,Value,raw,late,bad,TRUE,TRUE,FALSE,FALSE,FALSE,
 covid-act-now,pcr_specimen_positivity_rate,pcr_specimen_positivity_rate,PCR Test Positivity Rate,Proportion of PCR specimens tested that have a positive result,,Date,Value,fraction,other,bad,FALSE,FALSE,FALSE,FALSE,FALSE,
 covid-act-now,pcr_specimen_total_tests,pcr_specimen_total_tests,Total Number of PCR Tests,Total number of PCR specimens tested,,Date,Value,count,other,good,FALSE,FALSE,FALSE,FALSE,FALSE,
 doctor-visits,smoothed_cli,smoothed_cli,COVID-Related Doctor Visits,Percentage of daily doctor visits that are due to COVID-like symptoms,"Estimated percentage of outpatient doctor visits primarily about COVID-related symptoms, based on data from health system partners, smoothed in time using a Gaussian linear smoother",Date,Percentage,percent,early,bad,TRUE,FALSE,FALSE,FALSE,FALSE,
@@ -171,18 +171,18 @@ quidel,raw_pct_negative,raw_pct_negative,Raw Pct Negative,"The percentage of flu
 quidel,smoothed_pct_negative,raw_pct_negative,,,,Date,Percentage,percent,late,bad,TRUE,FALSE,FALSE,TRUE,TRUE,
 quidel,raw_tests_per_device,raw_tests_per_device,Raw Tests Per Device,The number of flu tests conducted by each testing device; measures volume of testing ,,Date,Number of Tests,count,late,bad,FALSE,FALSE,FALSE,TRUE,TRUE,
 quidel,smoothed_tests_per_device,raw_tests_per_device,,,,Date,Number of Tests,count,late,bad,TRUE,FALSE,FALSE,TRUE,TRUE,
-safegraph,bars_visit_num,bars_visit_num,Bar Visits,"Daily number of visits to bars, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Drinking Places (alcoholic beverages)"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all bar visits by everyone in the population.",Date,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,bars_visit_prop,bars_visit_num,,,,Date,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,completely_home_prop,completely_home_prop,Completely Home Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,completely_home_prop_7dav,completely_home_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
-safegraph,full_time_work_prop,full_time_work_prop,Full Time Work Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,full_time_work_prop_7dav,full_time_work_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
-safegraph,median_home_dwell_time,median_home_dwell_time,Median Home Dwell Time,,,Date,Value,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,median_home_dwell_time_7dav,median_home_dwell_time,,,,Date,Value,count,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
-safegraph,part_time_work_prop,part_time_work_prop,Part Time Work Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,part_time_work_prop_7dav,part_time_work_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
-safegraph,restaurants_visit_num,restaurants_visit_num,Restaurant Visits,"Daily number of visits to restaurants, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Full-Service Restaurants"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all restaurant visits by everyone in the population.",Date,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
-safegraph,restaurants_visit_prop,restaurants_visit_num,,,,Date,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-weekly,bars_visit_num,bars_visit_num,Bar Visits,"Daily number of visits to bars, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Drinking Places (alcoholic beverages)"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all bar visits by everyone in the population.",Date,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-weekly,bars_visit_prop,bars_visit_num,,,,Date,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,completely_home_prop,completely_home_prop,Completely Home Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,completely_home_prop_7dav,completely_home_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,full_time_work_prop,full_time_work_prop,Full Time Work Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,full_time_work_prop_7dav,full_time_work_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,median_home_dwell_time,median_home_dwell_time,Median Home Dwell Time,,,Date,Value,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,median_home_dwell_time_7dav,median_home_dwell_time,,,,Date,Value,count,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,part_time_work_prop,part_time_work_prop,Part Time Work Prop,,,Date,Value,per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-daily,part_time_work_prop_7dav,part_time_work_prop,,,,Date,Value,per100k,public,neutral,TRUE,FALSE,FALSE,FALSE,FALSE,
+safegraph-weekly,restaurants_visit_num,restaurants_visit_num,Restaurant Visits,"Daily number of visits to restaurants, based on SafeGraph's Weekly Patterns dataset","Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as ""Full-Service Restaurants"" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits. Note that these counts only include people whose visits are tracked because they are in SafeGraph's panel; they do not include all restaurant visits by everyone in the population.",Date,Visits,count,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
+safegraph-weekly,restaurants_visit_prop,restaurants_visit_num,,,,Date,"Visits per 100,000 people",per100k,public,neutral,FALSE,FALSE,FALSE,FALSE,FALSE,
 usa-facts,confirmed_incidence_num,confirmed_incidence_num,Confirmed COVID Cases,,,Date,Value,count,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,
 usa-facts,confirmed_incidence_prop,confirmed_incidence_num,,,,Date,Value,per100k,late,bad,FALSE,FALSE,FALSE,FALSE,FALSE,
 usa-facts,confirmed_cumulative_num,confirmed_incidence_num,,,,Date,Value,count,late,bad,FALSE,FALSE,TRUE,FALSE,FALSE,