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nchs_mortality/DETAILS.md

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@@ -10,20 +10,20 @@ consistency how NCHS reports the data, please refer to [Exceptions](#Exceptions)
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* `state`: reported using two-letter postal code
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## Metrics, Level 1 (`m1`)
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* `covid_deaths`: All Deaths with confirmed or presumed COVID-19,
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* `deaths_covid_incidence`: All Deaths with confirmed or presumed COVID-19,
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coded to ICD–10 code U07.1
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* `total_deaths`: Deaths from all causes.
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* `percent_of_expected_deaths`: the number of deaths for all causes for this
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* `deaths_allcause_incidence`: Deaths from all causes.
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* `deaths_percent_of_expected`: the number of deaths for all causes for this
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week in 2020 compared to the average number
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across the same week in 2017–2019.
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* `pneumonia_deaths`: Counts of deaths involving Pneumonia, with or without
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* `deaths_pneumonia_notflu_incidence`: Counts of deaths involving Pneumonia, with or without
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COVID-19, excluding Influenza deaths(J12.0-J18.9).
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* `pneumonia_and_covid_deaths`: Counts of deaths involving COVID-19 and Pneumonia,
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* `deaths_covid_and_pneumonia_notflu_incidence`: Counts of deaths involving COVID-19 and Pneumonia,
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excluding Influenza (U07.1 and J12.0-J18.9).
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* `influenza_deaths`: Counts of deaths involving Influenza, with or without
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* `deaths_flu_incidence`: Counts of deaths involving Influenza, with or without
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COVID-19 or Pneumonia (J09-J11), includes COVID-19 or
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Pneumonia.
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* `pneumonia_influenza_or_covid_19_deaths`: Counts of deaths involving Pneumonia,
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* `deaths_pneumonia_or_flu_or_covid_incidence`: Counts of deaths involving Pneumonia,
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Influenza, or COVID-19, coded to ICD–10
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codes U07.1 or J09–J18.9
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## Metrics, Level 2 (`m2`)
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* `num`: number of new deaths on a given week
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* `prop`: `num` / population * 100,000
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* _**No** `m2` for signal `percent_of_expected_deaths`._
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* _**No** `m2` for signal `deaths_percent_of_expected`_.
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## Exceptions
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### Report Using Epiweeks
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We report the NCHS Mortality data in a weekly format (`weekly_YYYYWW`, where `YYYYWW`
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refers to an epiweek). However, NCHS reports their weekly data from Saturday to
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Saturday. We assume there is a one day shift. For example, they report a death counts
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for Alaska in a week starting from date D, we will report the timestamp of this report
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as the corresponding epiweek of date(D + 1).
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refers to an epiweek). As defined by CDC, [epiweeks](https://wwwn.cdc.gov/nndss/document/MMWR_Week_overview.pdf) are seven days from Sunday to Saturday. We use Python package [epiweeks](https://pypi.org/project/epiweeks/) to convert the week-ending dates in the raw dataset into epiweek format.
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### Data Versioning
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Data versions are tracked on both a daily and weekly level.

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