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Merge pull request #1688 from cmu-delphi/release/delphi-epidata-4.1.38
Release Delphi Epidata 4.1.38
2 parents bd26d1c + d93de8c commit 1598c02

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-55
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.bumpversion.cfg

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[bumpversion]
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current_version = 4.1.37
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current_version = 4.1.38
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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 = 4.1.37
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version = 4.1.38
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[options]
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packages =

docs/symptom-survey/publications.md

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Research publications using the survey data include:
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- S. Pampati, E.A. Stuart, J. Lessler et al (2024). [Impact of School-Based
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Infection Prevention Strategies on Household COVID-19 and Respiratory
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Disease Outcomes: a Cross-Sectional Study](https://doi.org/10.1016/j.annepidem.2025.10.019).
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*Annals of Epidemiology*.
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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).

src/acquisition/fluview/impute_missing_values.py

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@@ -293,7 +293,11 @@ def impute_missing_values(database, test_mode=False):
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known_values["pr"] = (0, 0, 0)
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# get the imputation matrix and lists of known and unknown locations
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F, known, unknown = get_fusion_parameters(known_values.keys())
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try:
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F, known, unknown = get_fusion_parameters(known_values.keys())
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except StatespaceException as e:
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print(e)
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continue
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# finally, impute the missing values
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z = np.array([known_values[k] for k in known])

src/client/delphi_epidata.R

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@@ -15,7 +15,7 @@ Epidata <- (function() {
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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 <- '4.1.37'
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client_version <- '4.1.38'
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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 = "4.1.37";
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const client_version = "4.1.38";
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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": "4.1.37",
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"version": "4.1.38",
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"license": "MIT",
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"homepage": "https://github.com/cmu-delphi/delphi-epidata",
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"bugs": {
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-- Add new age, race, and sex strata, and season descriptor (YYYY-YY format)
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ALTER TABLE `flusurv` ADD (
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`rate_age_18t29` double DEFAULT NULL,
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`rate_age_30t39` double DEFAULT NULL,
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`rate_age_40t49` double DEFAULT NULL,
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`rate_age_5t11` double DEFAULT NULL,
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`rate_age_12t17` double DEFAULT NULL,
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`rate_age_lt18` double DEFAULT NULL,
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`rate_age_gte18` double DEFAULT NULL,
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`rate_race_white` double DEFAULT NULL,
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`rate_race_black` double DEFAULT NULL,
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`rate_race_hisp` double DEFAULT NULL,
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`rate_race_asian` double DEFAULT NULL,
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`rate_race_natamer` double DEFAULT NULL,
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`rate_sex_male` double DEFAULT NULL,
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`rate_sex_female` double DEFAULT NULL,
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`rate_age_0tlt1` double DEFAULT NULL,
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`rate_age_1t4` double DEFAULT NULL,
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`rate_age_gte75` double DEFAULT NULL,
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`rate_flu_a` double DEFAULT NULL,
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`rate_flu_b` double DEFAULT NULL,
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`season` char(7) DEFAULT NULL,
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`season` char(7) DEFAULT NULL,
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`rate_age_18t29` double DEFAULT NULL,
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`rate_age_30t39` double DEFAULT NULL,
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`rate_age_40t49` double DEFAULT NULL,
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`rate_age_5t11` double DEFAULT NULL,
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`rate_age_12t17` double DEFAULT NULL,
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`rate_age_lt18` double DEFAULT NULL,
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`rate_age_gte18` double DEFAULT NULL,
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`rate_age_1t4` double DEFAULT NULL,
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`rate_age_gte75` double DEFAULT NULL,
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`rate_age_0tlt1` double DEFAULT NULL,
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`rate_race_white` double DEFAULT NULL,
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`rate_race_black` double DEFAULT NULL,
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`rate_race_hisp` double DEFAULT NULL,
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`rate_race_asian` double DEFAULT NULL,
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`rate_race_natamer` double DEFAULT NULL,
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`rate_sex_male` double DEFAULT NULL,
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`rate_sex_female` double DEFAULT NULL,
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`rate_flu_a` double DEFAULT NULL,
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`rate_flu_b` double DEFAULT NULL
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);

src/ddl/migrations/flusurv_new_signals.sql

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src/server/_config.py

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load_dotenv()
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VERSION = "4.1.37"
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VERSION = "4.1.38"
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MAX_RESULTS = int(10e6)
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MAX_COMPATIBILITY_RESULTS = int(3650)

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