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docs/api/covidcast-signals/nssp.md

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@@ -23,16 +23,16 @@ As of May 2024, NSSP received data from 78% of US EDs.
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| Signal | Description |
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|---------------------------------|--------------------------------------------------------------------------------------------------------------------------------------|
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| `pct_visits_covid` | Percent of ED visits that had a discharge diagnosis code of covid <br/> **Earliest date available:** 2022-10-01 |
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| `pct_visits_influenza` | Percent of ED visits that had a discharge diagnosis code of influenza <br/> **Earliest date available:** 2022-10-01 |
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| `pct_visits_rsv` | Percent of ED visits that had a discharge diagnosis code of rsv <br/> **Earliest date available:** 2022-10-01 |
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| `pct_visits_combined` | Percent of ED visits that had a discharge diagnosis code of covid, influenza, or rsv <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_visits_covid` | 3 week moving average of `pct_visits_covid` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_visits_influenza` | 3 week moving average of `pct_visits_influenza` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_visits_rsv` | 3 week moving average of `pct_visits_rsv` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_visits_combined` | 3 week moving average of `pct_visits_combined` <br/> **Earliest date available:** 2022-10-01 |
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## Table of contents
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| `pct_ed_visits_covid` | Percent of ED visits that had a discharge diagnosis code of covid <br/> **Earliest date available:** 2022-10-01 |
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| `pct_ed_visits_influenza` | Percent of ED visits that had a discharge diagnosis code of influenza <br/> **Earliest date available:** 2022-10-01 |
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| `pct_ed_visits_rsv` | Percent of ED visits that had a discharge diagnosis code of rsv <br/> **Earliest date available:** 2022-10-01 |
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| `pct_ed_visits_combined` | Percent of ED visits that had a discharge diagnosis code of covid, influenza, or rsv <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_ed_visits_covid` | 3 week moving average of `pct_ed_visits_covid` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_ed_visits_influenza` | 3 week moving average of `pct_ed_visits_influenza` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_ed_visits_rsv` | 3 week moving average of `pct_ed_visits_rsv` <br/> **Earliest date available:** 2022-10-01 |
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| `smoothed_pct_ed_visits_combined` | 3 week moving average of `pct_ed_visits_combined` <br/> **Earliest date available:** 2022-10-01 |
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## Table of Contents
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{: .no_toc .text-delta}
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1. TOC
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### Smoothing
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Smoothed signals are calculated using a simple 3 week moving average of the relevant weekly signals. Note that since the unsmoothed `pct_visits_*` signals report weekly data, each smoothed signal value is computed from 3 points rather than 21, as would be used if the unsmoothed data were reported daily.
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Smoothed signals are calculated using a simple 3 week moving average of the relevant weekly signals. Note that since the unsmoothed `pct_ed_visits_*` signals report weekly data, each smoothed signal value is computed from 3 points rather than 21, as would be used if the unsmoothed data were reported daily.
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## Missingness
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This source is derived from the CDC's [Respiratory Virus Response NSSP Emergency Department Visit Trajectories dataset](https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/rdmq-nq56/about_data).
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There is another version of the dataset that includes [state data only](https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9/about_data).
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This data was originally published by the National Center for Health Statistics, and is made available here as a convenience to the forecasting community under the terms of the original license, which is [U.S. Government Public Domain](https://www.usa.gov/government-copyright).
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This data was originally published by the CDC, and is made available here as a convenience to the forecasting community under the terms of the original license, which is [U.S. Government Public Domain](https://www.usa.gov/government-copyright).

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