National age and coresidence patterns shape COVID-19 vulnerability

Albert Esteve (), Iñaki Permanyer, Diederik Boertien and James W. Vaupel
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Albert Esteve: Center for Demographic Studies, Centres de Recerca de Catalunya, 08193 Bellaterra, Spain; Geography Department, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
Iñaki Permanyer: Center for Demographic Studies, Centres de Recerca de Catalunya, 08193 Bellaterra, Spain
Diederik Boertien: Center for Demographic Studies, Centres de Recerca de Catalunya, 08193 Bellaterra, Spain
James W. Vaupel: Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, 5000 Odense, Denmark

Proceedings of the National Academy of Sciences, 2020, vol. 117, issue 28, 16118-16118

Abstract: Based on harmonized census data from 81 countries, we estimate how age and coresidence patterns shape the vulnerability of countries’ populations to outbreaks of coronavirus disease 2019 (COVID-19). We estimate variation in deaths arising due to a simulated random infection of 10% of the population living in private households and subsequent within-household transmission of the virus. The age structures of European and North American countries increase their vulnerability to COVID-related deaths in general. The coresidence patterns of elderly persons in Africa and parts of Asia increase these countries’ vulnerability to deaths induced by within-household transmission of COVID-19. Southern European countries, which have aged populations and relatively high levels of intergenerational coresidence, are, all else equal, the most vulnerable to outbreaks of COVID-19. In a second step, we estimate to what extent avoiding primary infections for specific age groups would prevent subsequent deaths due to within-household transmission of the virus. Preventing primary infections among the elderly is the most effective in countries with small households and little intergenerational coresidence, such as France, whereas confining younger age groups can have a greater impact in countries with large and intergenerational households, such as Bangladesh.

Keywords: demography; households; COVID-19; aging; global (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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