Dataset Information

Fatalities from COVID-19 are reducing Americans' support for Republicans at every level of federal office.

ABSTRACT: Between early March and 1 August 2020, COVID-19 took the lives of more than 150,000 Americans. Here, we examine the political consequences of the COVID-19 epidemic using granular data on COVID-19 fatalities and the attitudes of the American public. We find that COVID-19 has led to substantial damage for President Trump and other Republican candidates. States and local areas with higher levels of COVID-19 fatalities are less likely to support President Trump and Republican candidates for House and Senate. Our results show that President Trump and other Republican candidates would benefit electorally from a reduction in COVID-19 fatalities. This implies that a greater emphasis on social distancing, masks, and other mitigation strategies would benefit the president and his allies.

SUBMITTER: Warshaw C

PROVIDER: S-EPMC7608793 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Fatalities from COVID-19 are reducing Americans' support for Republicans at every level of federal office.

Warshaw Christopher C Vavreck Lynn L Baxter-King Ryan R

Science advances 20201030 44

Between early March and 1 August 2020, COVID-19 took the lives of more than 150,000 Americans. Here, we examine the political consequences of the COVID-19 epidemic using granular data on COVID-19 fatalities and the attitudes of the American public. We find that COVID-19 has led to substantial damage for President Trump and other Republican candidates. States and local areas with higher levels of COVID-19 fatalities are less likely to support President Trump and Republican candidates for House an ...[more]

PMID: 33127688

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Project description:The procurement and provision of expert-driven, evidence-informed, and independent science advice is integral to timely decision-making during public health emergencies. The 2019 coronavirus disease (COVID-19) pandemic has underscored the need for sound evidence in public health policy and exposed the challenges facing government science advisory mechanisms. This paper is a jurisdictional case study describing (i) the federal science advice bodies and mechanisms for public health in Canada (i.e., the federal science advice "ecosystem"); and (ii) how these bodies and mechanisms have mobilized and evolved to procure expertise and evidence to inform decisions during the first two years of the COVID-19 pandemic. We reviewed publicly accessible Government of Canada documents, technical reports, and peer-reviewed articles available up to December 2021. Canada's federal landscape of science advisory bodies for public health within the Health Portfolio was largely shaped by Canada's experiences with the 2003 severe acute respiratory syndrome and 2009 H1N1 outbreaks. In parallel, Canada has a designated science advisory apparatus that has seen frequent reforms since the early 2000s, with the current Office of the Chief Science Advisor created within the Science Portfolio in 2018. The COVID-19 pandemic has further complicated Canada's science advice ecosystem, with involvement from departments, expert advisory groups, and partnerships within both the federal Health and Science Portfolios. Although the engagement of federal departments outside the health sector is promising, the COVID-19 experience in Canada supports the need to institutionalize science advisory bodies for public health to improve pandemic preparedness and ensure rapid mobilization of well-coordinated and independent advice in future emergencies. This review also identified pressing areas for further inquiry to strengthen science advice for public health in Canada, including to assess the independence of science advisory actors and the interaction between federal and subnational authorities.

Dataset Information

Fatalities from COVID-19 are reducing Americans' support for Republicans at every level of federal office.

Publications

Fatalities from COVID-19 are reducing Americans' support for Republicans at every level of federal office.

Similar Datasets

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