Change Over Time in Public Support for Social Distancing, Mask Wearing, and Contact Tracing to Combat the COVID-19 Pandemic Among US Adults, April to November 2020

Author:

Barry Colleen L.1,Anderson Kelly E.1,Han Hahrie1,Presskreischer Rachel1,McGinty Emma E.1

Affiliation:

1. Colleen L. Barry, Kelly E. Anderson, Rachel Presskreischer, and Emma E. McGinty are with the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Hahrie Han is with Stavros Niarchos Foundation Agora Institute of Johns Hopkins University, Baltimore.

Abstract

Objectives. To examine how sociodemographic, political, religious, and civic characteristics; trust in science; and fixed versus fluid worldview were associated with evolving public support for social distancing, indoor mask wearing, and contact tracing to control the COVID-19 pandemic. Methods. Surveys were conducted with a nationally representative cohort of US adults in April, July, and November 2020. Results. Support for social distancing among US adults dropped from 89% in April to 79% in July, but then remained stable in November 2020 at 78%. In July and November, more than three quarters of respondents supported mask wearing and nearly as many supported contact tracing. In regression-adjusted models, support differences for social distancing, mask wearing, and contact tracing were most pronounced by age, partisanship, and trust in science. Having a more fluid worldview independently predicted higher support for contact tracing. Conclusions. Ongoing resistance to nonpharmaceutical public health responses among key subgroups challenge transmission control. Public Health Implications. Developing persuasive communication efforts targeting young adults, political conservatives, and those distrusting science should be a critical priority.

Publisher

American Public Health Association

Subject

Public Health, Environmental and Occupational Health

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3