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Merge pull request #1679 from cmu-delphi/release/delphi-epidata-4.1.36
Release Delphi Epidata 4.1.36
2 parents 5654dca + c8b71b5 commit 929116c

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.bumpversion.cfg

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[bumpversion]
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current_version = 4.1.35
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current_version = 4.1.36
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commit = False
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tag = False
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dev/local/setup.cfg

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[metadata]
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name = Delphi Development
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version = 4.1.35
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version = 4.1.36
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[options]
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packages =

docs/Gemfile.lock

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rb-fsevent (0.10.4)
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rb-inotify (0.10.1)
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ffi (~> 1.0)
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rexml (3.3.9)
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rexml (3.4.2)
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rouge (3.26.0)
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ruby2_keywords (0.0.4)
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rubyzip (2.3.0)

docs/symptom-survey/publications.md

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Research publications using the survey data include:
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- K.B. Smith, S. Shen, and B.T. Denton (2025). [Can past variants of SARS-CoV-2
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predict the impact of future variants? Machine learning for early warning
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of US counties at risk](https://doi.org/10.1007/s10729-025-09728-4).
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*Health Care Management Science*.
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- E.M. Fahle, T.J. Kane, T. Patterson, S.F. Reardon, D.O. Staiger, and E.A. Stuart
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(2025). [School District and Community Factors Associated with Test Score
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Declines During the COVID-19 Pandemic](https://doi.org/10.1177/01614681251369937).
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*Teachers College Record* 127 (6-7), 87-123.
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- J. C. Taube, Z. Susswein, V. Colizza, and S. Bansal (2025). [Characterising
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non-household contact patterns relevant to respiratory transmission in the
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USA: analysis of a cross-sectional survey](https://doi.org/10.1016/j.landig.2025.100888).
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*The Lancet Digital Health*, 7 (8): 100888.
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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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*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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*American Journal of Epidemiology* 194 (5), 1208-1220.
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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).

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 <- '4.1.35'
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client_version <- '4.1.36'
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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 = "4.1.35";
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const client_version = "4.1.36";
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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": "4.1.35",
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"version": "4.1.36",
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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 = "4.1.35"
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VERSION = "4.1.36"
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MAX_RESULTS = int(10e6)
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MAX_COMPATIBILITY_RESULTS = int(3650)

src/server/endpoints/covidcast_utils/db_signals.csv

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src/server/endpoints/covidcast_utils/db_sources.csv

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nchs-mortality,nchs-mortality,NCHS Mortality Data,National Center for Health Statistics,"This data source of national provisional death counts is based on death certificate data received and coded by the National Center for Health Statistics ([NCHS](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm)). This data is different from the death data available from USAFacts and JHU CSSE: deaths are reported by the date they occur, not the date they are reported by local health departments, and data is frequently reissued as additional death certificates from recent weeks are received and tabulated.",deaths_allcause_incidence_num,[NCHS Data Use Agreement](https://www.cdc.gov/nchs/data_access/restrictions.htm),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nchs-mortality.html)
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dsew-cpr,dsew-cpr,COVID-19 Community Profile Report,US Government,"This data source is based on the daily report published by the Data Strategy and Execution Workgroup under the White House COVID-19 Team, which contains detailed daily-resolution figures on cases, deaths, testing, hospital admissions, healthcare resources, and vaccinations.",confirmed_admissions_covid_1d_7dav,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/dsew-cpr.html)
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nssp,nssp,National Syndromic Surveillance Program,Centers for Disease Control and Prevention National Syndromic Surveillance Program,"The National Syndromic Surveillance Program (NSSP) is an effort to track epidemiologically relevant conditions. 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).",pct_ed_visits_covid,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nssp.html)
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nhsn,nhsn,National Healthcare Safety Network,Centers for Disease Control and Prevention National Healthcare Safety Network,The National Healthcare Safety Network (NHSN) is the nation’s most widely used healthcare-associated infection tracking system. ,confirmed_admissions_covid_ew,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nhsn.html)
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nhsn,nhsn,National Healthcare Safety Network,Centers for Disease Control and Prevention National Healthcare Safety Network,The National Healthcare Safety Network (NHSN) is the nation’s most widely used healthcare-associated infection tracking system. ,confirmed_admissions_covid_ew,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nhsn.html)
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beta_google_symptoms,beta_google_symptoms,BETA Google Symptoms Search Trends,Google,"BETA Google's [COVID-19 Search Trends symptoms dataset](http://goo.gle/covid19symptomdataset) reflects the relative volume of Google searches for a broad set of symptoms, signs and health conditions. This source includes signals for 7 symptom sets: 6 sets of COVID-related symptoms, and 1 set of control symptoms unrelated to COVID-19.
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Because of the way this dataset is constructed, values are comparable across signals in the same location, but not across geographic regions, even within the same signal. Use caution in any geographic analyses.",s05_smoothed_search,"To download or use the data, you must agree to the Google [Terms of Service](https://policies.google.com/terms)",,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/google-symptoms.html)
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beta_nssp,beta_nssp,BETA National Syndromic Surveillance Program,Centers for Disease Control and Prevention National Syndromic Surveillance Program,"BETA The National Syndromic Surveillance Program (NSSP) is an effort to track epidemiologically relevant conditions. 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).",pct_ed_visits_covid,[Public Domain US Government](https://www.usa.gov/government-works),,[API Documentation](https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/nssp.html)

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