COVID19

Showing 1-8 of 11 results

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

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.

BA – COVID-19 Economic Injury Disaster Loan (EIDL) Dataset

Creators: U.S. Small Business Administration (SBA)
Publication Date: March 10, 2021
Creators: U.S. Small Business Administration (SBA)

The SBA’s COVID-19 Economic Injury Disaster Loan (EIDL) dataset provides loan-level data on EIDL loans and advances issued to small businesses during the COVID-19 pandemic, including borrower information, loan amounts, and geographic data.

SBA – Paycheck Protection Program (PPP) Loan-Level Data

Creators: U.S. Small Business Administration (SBA)
Publication Date: March 7, 2025
Creators: U.S. Small Business Administration (SBA)

The Small Business Administration (SBA) published loan-level data on all Paycheck Protection Program (PPP) loans issued during the COVID-19 pandemic, including borrower names, loan amounts, lender information, and demographic characteristics.

Replication Data: Disaster Resilience and Asset Prices

Creators: Marco Pagano , Christian Wagner , Josef Zechner
Publication Date: 23 August 202
Creators: Marco Pagano , Christian Wagner , Josef Zechner

This dataset, hosted on Mendeley Data, contains the replication data for the study “Disaster Resilience and Asset Prices” (Pagano, Wagner & Zechner, 2023, Journal of Financial Economics). It includes firm-level and occupation-level data used to examine how the resilience of firms’ workforces to disaster shocks, such as pandemics, affects stock returns and asset prices, finding that firms employing workers in more telework-compatible occupations outperformed during the COVID-19 crisis.

Replication Data: The Short- and Long-Run Effects of Remote Work on U.S. Housing Markets

Creators: Greg Howard , Jack Liebersohn , Adam Ozimek
Publication Date: 03. Aug 23
Creators: Greg Howard , Jack Liebersohn , Adam Ozimek

This dataset, hosted on Mendeley Data, contains the replication data for the study “The Short- and Long-Run Effects of Remote Work on U.S. Housing Markets” (Howard, Liebersohn & Ozimek, 2023, Journal of Financial Economics). It includes housing price, rental, and remote work data used to examine how the COVID-19-induced shift to remote work affected housing demand, prices, and geographic mobility across U.S. metropolitan and rural areas in both the short and long run.

Replication Data: Expectations, Infections, and Economic Activity

Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt
Publication Date: 2023-09-14
Creators: Martin Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, and Mathias Trabandt

This dataset, hosted on Harvard Dataverse, contains the replication data for the study “Expectations, Infections, and Economic Activity” (Eichenbaum et al., 2024, Journal of Political Economy). It includes consumer transaction and epidemiological data used to examine how expectations about COVID-19 infection risk affect consumer behaviour and economic activity, combining macroeconomic modelling with granular spending data to quantify the role of beliefs in driving pandemic-era economic fluctuations.

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

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

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.

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