| Title: |
Choosing the right COVID-19 indicator: crude mortality, case fatality, and infection fatality rates influence policy preferences, behaviour, and understanding |
| Authors: |
Chiara Natalie Focacci, Pak Hung Lam, Yu Bai |
| Source: |
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-8 (2022) |
| Publisher Information: |
Springer Nature, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:History of scholarship and learning. The humanities
LCC:Social Sciences |
| Subject Terms: |
History of scholarship and learning. The humanities, AZ20-999, Social Sciences |
| More Details: |
Abstract Individuals worldwide are overwhelmed with news about COVID-19. In times of pandemic, media alternate the usage of different COVID-19 indicators, ranging from the more typical crude mortality rate to the case fatality rate, and the infection fatality rate continuously. In this article, we used experimental methods to test whether and how the treatment of individuals with different types of information on COVID-19 is able to change policy preferences, individual and social behaviours, and the understanding of COVID-19 indicators. Results show that while the usage of the crude mortality rate proves to be more efficient in terms of supporting policy preferences and behaviours to contain the virus, all indicators suffer from a significant misunderstanding on behalf of the population. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2662-9992 |
| Relation: |
https://doaj.org/toc/2662-9992 |
| DOI: |
10.1057/s41599-021-01032-0 |
| Access URL: |
https://doaj.org/article/c45ea01bd326444a9d55e4e9c5f16d94 |
| Accession Number: |
edsdoj.45ea01bd326444a9d55e4e9c5f16d94 |
| Database: |
Directory of Open Access Journals |
