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Demographic science aids in understanding the spread and fatality rates of COVID-19
Jennifer Beam Dowd; Valentina Rotondi; Liliana Andriano; David M Brazel; Per Block; Xuejie Ding; Yan Liu; Melinda C Mills.
Afiliação
  • Jennifer Beam Dowd; University of Oxford
  • Valentina Rotondi; University of Oxford
  • Liliana Andriano; University of Oxford
  • David M Brazel; University of Oxford
  • Per Block; University of Oxford
  • Xuejie Ding; University of Oxford
  • Yan Liu; University of Oxford
  • Melinda C Mills; University of Oxford
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20036293
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ABSTRACT
Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the COVID-19 pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider both the age composition of local and national contexts as well as the social connectedness of older and younger generations. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted nowcasting.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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