Political Science

Choosing the right COVID-19 indicator: crude mortality, case fatality, and infection fatality rates influence policy preferences, behaviour, and understanding

C. N. Focacci, P. H. Lam, et al.

This article explores how various COVID-19 mortality indicators shape public policy preferences and individual behaviors. The research, conducted by Chiara Natalie Focacci, Pak Hung Lam, and Yu Bai, reveals that the crude mortality rate significantly influences support for policies and virus containment actions, while public misunderstanding persists across all indicators.

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Abstract

This article investigates the impact of different COVID-19 mortality indicators (crude mortality rate, case fatality rate, infection fatality rate) on public policy preferences, individual behavior, and understanding of the pandemic. Using experimental methods, the study finds that the crude mortality rate is most effective in promoting policy support and virus containment behaviors, but all indicators suffer from significant public misunderstanding.

Publisher

Humanities and Social Sciences Communications

Published On

Oct 26, 2022

Authors

Chiara Natalie Focacci, Pak Hung Lam, Yu Bai

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