National age and coresidence patterns shape COVID-19 vulnerability
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- dc.contributor.author Esteve, Albert
- dc.contributor.author Permanyer, Iñaki
- dc.contributor.author Boertien, Diederik
- dc.contributor.author Vaupel, James W.
- dc.date.accessioned 2023-05-16T06:19:23Z
- dc.date.available 2023-05-16T06:19:23Z
- dc.date.issued 2020
- dc.description.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.
- dc.description.sponsorship This analysis was supported by Grants ERC-2014-StG-637768, ERC-2019-COG-864616, and RTI2018-096730-B-I00.
- dc.format.mimetype application/pdf
- dc.identifier.citation Esteve A, Permanyer I, Boertien D, Vaupel JW. National age and coresidence patterns shape COVID-19 vulnerability. Proc Natl Acad Sci U S A. 2020;117(28):16118-20. DOI: 10.1073/pnas.2008764117
- dc.identifier.doi http://dx.doi.org/10.1073/pnas.2008764117
- dc.identifier.issn 0027-8424
- dc.identifier.uri http://hdl.handle.net/10230/56837
- dc.language.iso eng
- dc.publisher National Academy of Sciences
- dc.relation.ispartof Proceedings of the National Academy of Sciences (PNAS). 2020;117(28):16118-20.
- dc.relation.isreferencedby https://www.medrxiv.org/content/10.1101/2020.05.13.20100289v1
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/637768
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/864616
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-096730-B-I00
- dc.rights This open access article is distributed under Creative Commons Attribution-NonCommercialNoDerivatives License 4.0 (CC BY-NC-ND).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword demography
- dc.subject.keyword households
- dc.subject.keyword COVID-19
- dc.subject.keyword aging
- dc.subject.keyword global
- dc.title National age and coresidence patterns shape COVID-19 vulnerability
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion