@@ -15,11 +15,13 @@ grand_parent: COVIDcast Main Endpoint
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* ** Time type:** day (see [ date format docs] ( ../covidcast_times.md ) )
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* ** License:** [ CC BY-NC] ( ../covidcast_licensing.md#creative-commons-attribution-noncommercial )
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- The COVID Act Now (CAN) data source provides COVID-19 testing statistics, such as positivity rates and total tests performed.
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- The county-level positivity rates and test totals are pulled directly from CAN.
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- While CAN provides this data potentially from multiple sources, we only use data sourced from the
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+ The [ COVID Act Now (CAN) ] ( https://covidactnow.org/ ) data source provides COVID-19 testing statistics, such as positivity rates and total tests performed.
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+ The county-level positivity rates and test totals are pulled directly from CAN using [ their API ] ( https://covidactnow.org/data-api ) .
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+ While CAN provides this data potentially from multiple sources, we only use data that CAN sources from the
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[ CDC's COVID-19 Integrated County View] ( https://covid.cdc.gov/covid-data-tracker/#county-view ) .
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+ Delphi's mirror of the CAN data was deactivated in December 2021 (last issue 2021-12-10) in favor of the [ DSEW CPR data] ( ./dsew-cpr.md ) , which reports the same information under the ` covid_naat_pct_positive_7dav ` signal.
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| Signal | Description |
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| --------------------------------| ----------------------------------------------------------------|
@@ -34,9 +36,9 @@ While CAN provides this data potentially from multiple sources, we only use data
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## Estimation
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- The quantities received from CAN / CDC are the county-level positivity rate and total tests,
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- which are based on the counts of PCR specimens tested.
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- In particular, they are also already smoothed with a 7-day-average.
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+ We receive county-level positivity rate and total tests from CAN, originating from the CDC.
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+ These quantiles are based on the counts of PCR specimens tested.
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+ They are also already smoothed with a 7-day-average.
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For a fixed location $$ i $$ and time $$ t $$ , let $$ Y_{it} $$ denote the number of PCR specimens
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tested that have a positive result. Let $$ N_{it} $$ denote the total number of PCR specimens tested.
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### Smoothing
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- No additional smoothing is done to avoid double-smoothing, since the data pulled from CAN / CDC
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+ No additional smoothing is done to avoid double-smoothing, since the CAN data
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is already smoothed with a 7-day-average.
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## Limitations
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- Estimates for geographical levels beyond counties may be inaccurate due to how aggregations
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- are done on smoothed values instead of the raw values. Ideally we would aggregate raw values
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+ Estimates for geographical levels beyond counties may be inaccurate because our aggregations
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+ are performed on smoothed values instead of the raw values.
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+ Ideally we would aggregate raw values
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then smooth, but the raw values are not accessible in this case.
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- The positivity rate here should not be interpreted as the population positivity rate as
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+ The reported test positivity rate should not be interpreted as the population positivity rate as
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the testing performed are typically not randomly sampled, especially for early data
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with lower testing volumes.
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A few counties, most notably in California, are also not covered by this data source.
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- Entries with zero total tests performed are also suppressed, even if it was actually the case that
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+ Entries with zero total tests performed are suppressed, even if it was actually the case that
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no tests were performed for the day.
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## Lag and Backfill
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The lag for these signals varies depending on the reporting patterns of individual counties.
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Most counties have their latest data report with a lag of 2 days, while others can take 9 days
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- or more in the case of California counties.
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+ or more, as is the case with California counties.
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- These signals are also backfilled as backlogged test results could get assigned to older 7-day timeframes .
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- Most recent test positivity rates do not change substantially with backfill (having a median delta of close to 0).
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- However, most recent total tests performed is expected to increase in later data revisions (having a median increase of 7%).
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+ Revisions are sometimes made to the data. For example, backlogged test results can get assigned to past dates .
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+ The majority of recent test positivity rates do not change substantially with backfill (having a median delta of close to 0).
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+ However, the majority of recent total tests performed is expected to increase in later data revisions (having a median increase of 7%).
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Values more than 5 days in the past are expected to remain fairly static (with total tests performed
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having a median increase of 1% of less), as most major revisions have already occurred.
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## Source and Licensing
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- County-level testing data is scraped by CAN from the
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+ County-level testing data is scraped by [ CAN] ( https://covidactnow.org/ ) from the
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[ CDC's COVID-19 Integrated County View] ( https://covid.cdc.gov/covid-data-tracker/#county-view ) ,
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and made available through [ CAN's API] ( https://covidactnow.org/tools ) .
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+ The data is made available under a [ CC BY-NC] ( ../covidcast_licensing.md#creative-commons-attribution-noncommercial ) license.
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