Evidence map›Paper›PMID 39791112›Full record

ArticleSSM - population health2025

Trajectories and patterns of US counties' policy responses to the COVID-19 pandemic: A sequence analysis approach.

Yunyu Amy Chiang, Lucia Pacca, Anusha Vable, Thomas Carton, Mark J Pletcher, Rita Hamad

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Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yunyu Amy ChiangUniversity of California San Francisco, San Francisco, CA, USA.
Lucia PaccaUniversity of California San Francisco, San Francisco, CA, USA.
Anusha VableUniversity of California San Francisco, San Francisco, CA, USA.
Thomas CartonLouisiana Public Health Institute, New Orleans, LA, USA.
Mark J PletcherUniversity of California San Francisco, San Francisco, CA, USA.
Rita HamadHarvard School of Public Health, Boston, MA, USA.

Funding

The Impacts of County-Level COVID- 19 -Related Public Health and Social Policies on Racial/Ethnic and Socioeconomic Disparities in Mental Health and Healthcare UtilizationU01MH129968 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMAD, RITA · 2021 to 2025
$3.4M
NIMH NIH HHS U01 MH129968
6 · The paper itself

Abstract

Background: It is increasingly recognized that policies played a role in mitigating or exacerbating health inequities during the COVID-19 pandemic. While US counties were particularly active in policymaking, limited work has characterized geographic and temporal variation in pandemic-era policymaking at the local level, a prerequisite for later studies examining the health effects of these policies. This paper fills this gap by characterizing county-level COVID-19-related policy trajectories over time using a novel national policy database and innovative methods. Methods: Data came from the US COVID-19 County Policy (UCCP) Database, including 309 counties in 50 states plus Washington DC during January 2020 to December 2021. We examined measures of overall policy comprehensiveness, as well as three domains including containment and closure, economic response, and public health. We applied sequence analysis to characterize county-level trajectories overall and within each policy domain, and cluster analysis to group similar trajectories. Results: There was wide variation in policymaking, with nearly half of counties demonstrating consistently comprehensive policymaking, about 15-20% with consistently low comprehensiveness, and the remainder exhibiting intermittent comprehensiveness. Economic policies were less comprehensive than containment/closure and public health policies. There was also substantial variation within and across states, and associations with county characteristics. Conclusion: This study is among the first to document substantial geographic and temporal variation in a variety of US county-level COVID-19-related policies, which likely contributed to health disparities during and after the pandemic. Future work should evaluate how these different policy trajectories differentially affected health and social outcomes.

Identifiers

PMID39791112
PMCPMC11714380

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.