Literature DB >> 32955556

Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19.

Christopher Adolph1, Kenya Amano1, Bree Bang-Jensen1, Nancy Fullman1, John Wilkerson1.   

Abstract

CONTEXT: Social distancing is an essential but economically painful measure to flatten the curve of emergent infectious diseases. As the novel coronavirus that causes COVID-19 spread throughout the United States in early 2020, the federal government left to the states the difficult and consequential decisions about when to cancel events, close schools and businesses, and issue stay-at-home orders.
METHODS: The authors present an original, detailed dataset of state-level social distancing policy responses to the epidemic; they then apply event history analysis to study the timing of implementation of five social distancing policies across all 50 states.
RESULTS: The most important predictor of when states adopted social distancing policies is political: all else equal, states led by Republican governors were slower to implement such policies during a critical window of early COVID-19 response.
CONCLUSIONS: Continuing actions driven by partisanship rather than by public health expertise and scientific recommendations may exact greater tolls on health and broader society.
Copyright © 2021 by Duke University Press.

Entities:  

Keywords:  COVID-19; US states; partisan politics; social distancing policy

Mesh:

Year:  2021        PMID: 32955556     DOI: 10.1215/03616878-8802162

Source DB:  PubMed          Journal:  J Health Polit Policy Law        ISSN: 0361-6878            Impact factor:   2.265


  74 in total

1.  Political partisanship influences behavioral responses to governors' recommendations for COVID-19 prevention in the United States.

Authors:  Guy Grossman; Soojong Kim; Jonah M Rexer; Harsha Thirumurthy
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-15       Impact factor: 11.205

2.  County-Level Social Determinants of Health and COVID-19 in Nursing Homes, United States, June 1, 2020-January 31, 2021.

Authors:  Adam Hege; Sandi Lane; Trent Spaulding; Margaret Sugg; Lakshmi S Iyer
Journal:  Public Health Rep       Date:  2021-11-17       Impact factor: 2.792

3.  Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis.

Authors:  Liam G McCoy; Jonathan Smith; Kavya Anchuri; Isha Berry; Joanna Pineda; Vinyas Harish; Andrew T Lam; Seung Eun Yi; Sophie Hu; Laura Rosella; Benjamin Fine
Journal:  CMAJ Open       Date:  2020-08-31

4.  State-level variation of initial COVID-19 dynamics in the United States.

Authors:  Easton R White; Laurent Hébert-Dufresne
Journal:  PLoS One       Date:  2020-10-13       Impact factor: 3.240

5.  Associations Between Governor Political Affiliation and COVID-19 Cases, Deaths, and Testing in the U.S.

Authors:  Brian Neelon; Fedelis Mutiso; Noel T Mueller; John L Pearce; Sara E Benjamin-Neelon
Journal:  Am J Prev Med       Date:  2021-03-10       Impact factor: 5.043

6.  Older Americans' Perceptions of the Federal Government's Pandemic Response: Voices From the COVID-19 Coping Study.

Authors:  Haley B Gallo; Lindsay C Kobayashi; Jessica M Finlay
Journal:  Res Aging       Date:  2021-12-30

7.  Death by political party: The relationship between COVID-19 deaths and political party affiliation in the United States.

Authors:  Jingjing Gao; Benjamin J Radford
Journal:  World Med Health Policy       Date:  2021-05-05

8.  The intensity of COVID-19 nonpharmaceutical interventions and labor market outcomes in the public sector.

Authors:  Miriam Marcén; Marina Morales
Journal:  J Reg Sci       Date:  2021-06-26

9.  Association between COVID-19 outcomes and mask mandates, adherence, and attitudes.

Authors:  Dhaval Adjodah; Karthik Dinakar; Matteo Chinazzi; Samuel P Fraiberger; Alex Pentland; Samantha Bates; Kyle Staller; Alessandro Vespignani; Deepak L Bhatt
Journal:  PLoS One       Date:  2021-06-23       Impact factor: 3.240

10.  Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread.

Authors:  Raghav Magoo; Harpreet Singh; Neeru Jindal; Nishtha Hooda; Prashant Singh Rana
Journal:  Neural Comput Appl       Date:  2021-07-02       Impact factor: 5.606

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