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Elderly people and responses to COVID-19 in 27 Countries

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  • J -F Daoust

Abstract

Amongst the most robust consensus related to the COVID-19 disease is that the elderly are by far the most vulnerable population group. Hence, public authorities target older people in order to convince them to comply with preventive measures. However, we still know little about older people’s attitudes and compliance toward these measures. In this research, I aim to improve our understanding of elderly people’s responses to the pandemic using data from 27 countries. Results are surprising and quite troubling. Elderly people’s response is substantially similar to their fellow citizens in their 50’s and 60’s. This research (i) provides the first thorough description of the most vulnerable population’s attitudes and compliance in a comparative perspective (ii) suggest that governments’ strategies toward elderly people are far from successful and (iii) shows that methodologically, we should be more cautious in treating age as having a linear effect on COVID-19 related outcomes.

Suggested Citation

  • J -F Daoust, 2020. "Elderly people and responses to COVID-19 in 27 Countries," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-13, July.
  • Handle: RePEc:plo:pone00:0235590
    DOI: 10.1371/journal.pone.0235590
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    References listed on IDEAS

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    1. Martin Larsen & Jacob Nyrup & Michael Bang Petersen, 2020. "Do Survey Estimates of the Public’s Compliance with COVID-19 Regulations Suffer from Social Desirability Bias?," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(2).
    2. Daoust, Jean-François & Nadeau, Richard & Dassonneville, Ruth & Lachapelle, Erick & Bélanger, Éric & Savoie, Justin & van der Linden, Clifton, 2020. "How to survey citizens’ compliance with COVID-19 public health measures? Evidence from three survey experiments," SocArXiv gursd, Center for Open Science.
    3. Ian MacGregor-Fors & Mark E Payton, 2013. "Contrasting Diversity Values: Statistical Inferences Based on Overlapping Confidence Intervals," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-4, February.
    4. Stephen M. Utych & Luke Fowler, 2020. "Age-based messaging strategies for communication about COVID-19," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
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