Yunyu Amy Chiang , Lucia Pacca , Anusha Vable , Thomas Carton , Mark J. Pletcher , Rita Hamad
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引用次数: 0
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.
期刊介绍:
SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.