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Merge pull request #1580 from cmu-delphi/dev
Remove JHU signals from documentation
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.bumpversion.cfg

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[bumpversion]
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current_version = 4.1.27
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current_version = 4.1.28
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commit = False
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tag = False
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.github/workflows/performance-tests-one-time.yml

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max_time: ${{ steps.output.outputs.max_time }}
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requests_per_sec: ${{ steps.output.outputs.requests_per_sec }}
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steps:
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- name: Set up WireGuard
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uses: egor-tensin/[email protected]
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with:
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endpoint: '${{ secrets.WG_PERF_ENDPOINT }}'
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endpoint_public_key: '${{ secrets.WG_PERF_ENDPOINT_PUBLIC_KEY }}'
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ips: '${{ secrets.WG_PERF_IPS }}'
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allowed_ips: '${{ secrets.WG_PERF_ALLOWED_IPS }}'
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private_key: '${{ secrets.WG_PERF_PRIVATE_KEY }}'
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- name: Clean files from previous runs
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uses: AutoModality/action-clean@v1
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- name: Check out repository

.github/workflows/performance-tests.yml

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max_time: ${{ steps.output.outputs.max_time }}
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requests_per_sec: ${{ steps.output.outputs.requests_per_sec }}
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steps:
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- name: Set up WireGuard
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uses: egor-tensin/[email protected]
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with:
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endpoint: '${{ secrets.WG_PERF_ENDPOINT }}'
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endpoint_public_key: '${{ secrets.WG_PERF_ENDPOINT_PUBLIC_KEY }}'
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ips: '${{ secrets.WG_PERF_IPS }}'
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allowed_ips: '${{ secrets.WG_PERF_ALLOWED_IPS }}'
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private_key: '${{ secrets.WG_PERF_PRIVATE_KEY }}'
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- name: Clean files from previous runs
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uses: AutoModality/action-clean@v1
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- name: Check out repository

dev/local/setup.cfg

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[metadata]
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name = Delphi Development
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version = 4.1.27
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version = 4.1.28
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[options]
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packages =

docs/api/covidcast-signals/nssp.md

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2020
[The National Syndromic Surveillance Program (NSSP)](https://www.cdc.gov/nssp/php/about/index.html) is an effort to track epidemiologically relevant conditions.
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This dataset in particular tracks emergency department (ED) visits arising from a subset of influenza-like illnesses, specifically influenza, COVID-19, and respiratory syncytial virus (RSV).
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Each signal below is derived from one of two following datasets:
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- Primary: [NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined dataset](https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/rdmq-nq56/about_data)
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- Secondary: [2023 Respiratory Virus Response - NSSP Emergency Department Visit Trajectories by State- COVID-19, Flu, RSV, Combined](https://data.cdc.gov/Public-Health-Surveillance/2023-Respiratory-Virus-Response-NSSP-Emergency-Dep/7mra-9cq9/data_preview). Signals derived from the secondary dataset have suffix `_2023RVR` in their signal names.
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Both datasets started reporting data in late 2022. As of May 2024, NSSP received data from 78% of US EDs.
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It 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), which started reporting data in late 2022.
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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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| `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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| `pct_ed_visits_covid_2023RVR` | Percent of ED visits that had a discharge diagnosis code of COVID-19 <br/> **Earliest date available:** 2022-10-01 |
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| `pct_ed_visits_influenza_2023RVR` | 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_2023RVR` | 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_2023RVR` | Percent of ED visits that had a discharge diagnosis code of COVID-19, influenza, or rsv <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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## Estimation
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The percent visits signals are calculated as a fraction of visits at facilities reporting to NSSP, rather than all facilities in the area.
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For primary signals, `county`, `state` and `nation` level data is reported as-is from NSSP, without modification, while `hhs`, `hrr` and `msa` are estimated by Delphi.
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For secondary signals, `state`, `hhs` and `nation` level data is reported as-is from NSSP, without modification.
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`county`, `state` and `nation` level data is reported as-is from NSSP, without modification, while `hhs`, `hrr` and `msa` are estimated by Delphi.
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### Geographic weighting
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As the original data is a percentage and raw case counts are not available, `hrr`,`msa`, and `hhs` values are computed from county-level data using a weighted mean. Each county is assigned a weight equal to its population in the last census (2020). Unreported counties are implicitly treated as having a weight of 0 or a value equal to the group mean.
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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 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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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).

docs/symptom-survey/publications.md

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Research publications using the survey data include:
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- S. Santos, M. Humbard, A. Lambrou et al. (2025). [The SARS-CoV-2 test
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scale-up in the USA: an analysis of the number of tests produced and used
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over time and their modelled impact on the COVID-19 pandemic](https://doi.org/10.1016/S2468-2667(24)00279-2).
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*The Lancet Public Health* 10 (1), e47-e57.
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- H. Bui, S. Ekşioğlu, R. Proano, and S. N. Pinkley (2025). [An Analysis of
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COVID-19 Vaccine Hesitancy in the U.S.](https://doi.org/10.1080/24725854.2024.2301966).
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*IISE Transactions* 57 (3), 246-260.
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- K.M. Geffel, H.P. Dyer, A.D. Casas, S.N. Christian-Afflu, D.D. Méndez, and
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T.L. Gary-Webb (2024). [COVID-19 vaccine uptake and intention of Black adults:
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A county-wide analysis of an online survey](https://doi.org/10.1016/j.jnma.2024.07.007).
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*Journal of the National Medical Association*.
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*Journal of the National Medical Association* 116 (5), 526-538.
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- C.K. Ettman, E. Badillo-Goicoechea, E.A. Stuart, and L.T. Dean (2024).
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[Area-level credit scores and symptoms of depression and anxiety in adults](https://doi.org/10.1093/aje/kwae275).
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*American Journal of Epidemiology* kwae275.
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- C.K. Ettman, E. Badillo-Goicoechea, E.A. Stuart (2024). [Financial
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strain, schooling modality and mental health of US adults living
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with children during the COVID-19 pandemic](https://doi.org/10.1136/jech-2023-221672).
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*Journal of Epidemiology & Community Health*.
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*Journal of Epidemiology & Community Health* 78 (10), 662-668.
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- K. Sasse, R. Mahabir, O. Gkountouna, A. Crooks, A. Croitoru (2024).
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[Understanding the determinants of vaccine hesitancy in the United
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States: A comparison of social surveys and social media](https://doi.org/10.1371/journal.pone.0301488).
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*Social Science & Medicine* 348, 116775.
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- R.R. Andridge (2024). [Using proxy pattern-mixture models to explain bias in
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estimates of COVID-19 vaccine uptake from two large surveys](https://doi.org/10.1093/jrsssa/qnae005).
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*Journal of the Royal Statistical Society Series A: Statistics in Society*.
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- H. Bui, S. Ekşioğlu, R. Proano, and S. N. Pinkley (2024). [An Analysis of
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COVID-19 Vaccine Hesitancy in the U.S.](https://doi.org/10.1080/24725854.2024.2301966).
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*IISE Transactions*.
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*Journal of the Royal Statistical Society Series A: Statistics in Society*
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187 (3), 831-843.
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- de Vries, M., Kim, J.Y. & Han, H. (2023). [The unequal landscape of civic
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opportunity in America](https://doi.org/10.1038/s41562-023-01743-1). *Nature
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Human Behavior* 8, 256-263.

src/client/delphi_epidata.R

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# API base url
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BASE_URL <- getOption('epidata.url', default = 'https://api.delphi.cmu.edu/epidata/')
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client_version <- '4.1.27'
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client_version <- '4.1.28'
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auth <- getOption("epidata.auth", default = NA)
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src/client/delphi_epidata.js

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}
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})(this, function (exports, fetchImpl, jQuery) {
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const BASE_URL = "https://api.delphi.cmu.edu/epidata/";
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const client_version = "4.1.27";
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const client_version = "4.1.28";
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// Helper function to cast values and/or ranges to strings
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function _listitem(value) {

src/client/packaging/npm/package.json

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"name": "delphi_epidata",
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"description": "Delphi Epidata API Client",
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"authors": "Delphi Group",
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"version": "4.1.27",
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"version": "4.1.28",
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"license": "MIT",
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"homepage": "https://github.com/cmu-delphi/delphi-epidata",
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"bugs": {

src/server/_config.py

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load_dotenv()
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VERSION = "4.1.27"
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VERSION = "4.1.28"
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MAX_RESULTS = int(10e6)
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MAX_COMPATIBILITY_RESULTS = int(3650)

tests/server/test_pandas.py

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# standard library
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import unittest
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from mock import patch, sentinel, ANY
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from unittest.mock import patch, sentinel, ANY
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# first party
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from delphi.epidata.server.main import app

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