Showing 1-8 of 16 results
New York Times COVID-19 Case and Death Data (U.S.)

New York Times COVID-19 Case and Death Data (U.S.)

Lisa
Open Dataset
Creators: The New York Times
Publication Date: 2023
Creators: The New York Times

The New York Times compiled and published county- and state-level COVID-19 case and death counts throughout the pandemic, drawing on reports from state and local health agencies across the United States. The dataset was used in the study “From L.A. to Boise” (Haslag & Weagley, 2024, JFQA) to measure local pandemic severity as a driver of internal U.S. migration patterns.

CDC National Center for Health Statistics (NCHS) – Depression FastStats

CDC National Center for Health Statistics (NCHS) – Depression FastStats

Lisa
Open Dataset
Creators: U.S. Centers for Disease Control and Prevention (CDC) – National Center for Health Statistics
Publication Date: updated February 20, 2026
Creators: U.S. Centers for Disease Control and Prevention (CDC) – National Center for Health Statistics

The CDC’s NCHS FastStats page on depression provides key national statistics on depression prevalence, treatment, and related health indicators in the United States, drawing on national health surveys.

CoVariants – SARS-CoV-2 Variant and Mutation Tracking Data

CoVariants – SARS-CoV-2 Variant and Mutation Tracking Data

Lisa
Open Dataset
Creators: Emma Hodcroft; Nextstrain
Publication Date: 2025-06-18
Creators: Emma Hodcroft; Nextstrain

CoVariants is an open-source project tracking SARS-CoV-2 mutations and variants of concern across countries over time, providing visualisations and data on the prevalence of different COVID-19 variants based on genomic sequencing data.

Our World in Data – COVID-19 and Global Development Statistics

Our World in Data – COVID-19 and Global Development Statistics

Lisa
Open Dataset
Creators: Our World in Data (University of Oxford / Global Change Data Lab)
Publication Date: published and updated continuously
Creators: Our World in Data (University of Oxford / Global Change Data Lab)

Our World in Data aggregates and visualises data on a wide range of global topics including COVID-19 cases, deaths, vaccinations, health, poverty, and economic development, drawing on sources such as WHO, World Bank, and national statistics agencies.

HCUP – Healthcare Cost and Utilization Project (AHRQ) Inpatient Care Cost and Resource Data

HCUP – Healthcare Cost and Utilization Project (AHRQ) Inpatient Care Cost and Resource Data

Lisa
Open Dataset
Creators: Agency for Healthcare Research and Quality (AHRQ)
Publication Date: 2026
Creators: Agency for Healthcare Research and Quality (AHRQ)

The Healthcare Cost and Utilization Project (HCUP), maintained by the Agency for Healthcare Research and Quality (AHRQ), provides the largest collection of longitudinal hospital care data in the United States. The inpatient databases cover hospital stays, diagnoses, procedures, costs, and outcomes at the patient level across all U.S. states.

Menstrual Health Hub Data and Resources

Menstrual Health Hub Data and Resources

Lisa
Open Dataset
Creators: Period Justice (Australia)
Publication Date: 2021
Creators: Period Justice (Australia)

The Period Justice Menstrual Health Hub is an Australian advocacy and research platform providing data, reports, and resources related to menstrual health, period poverty, and the social stigma surrounding menstruation. It aggregates information on menstrual product access, policy developments, and advocacy initiatives.

U.S. Health Workforce and Resources Data

U.S. Health Workforce and Resources Data

Lisa
Open Dataset
Creators: U.S. Health Resources and Services Administration (HRSA)
Publication Date: 2026-01-29
Creators: U.S. Health Resources and Services Administration (HRSA)

The Area Health Resources Files (AHRF), maintained by the U.S. Health Resources and Services Administration (HRSA), provide county-level data on health workforce supply, health facilities, population characteristics, and economic and environmental factors across the United States. The dataset covers over 6,000 variables and is widely used in health services research.

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