Cited by 66COVID-19 epidemiological studiesInsurance, Mortality, Demography, Risk ManagementCOVID-19 Clinical Research Studies

COVID-19 in unequally ageing European regions

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Kashnitsky, Ilya, Aburto, José Manuel·2020·World Development

Published version of a preprint

Abstract

The map presented in this brief note summarizes regional differences in population age structures between the NUTS-3 regions of Europe in the context of unequal age- and sex-specific death risks associated with the spread of the COVID-19 pandemic. Since older people are exposed to much higher death risks, older populations are expected to face much more difficult challenges coping with the pandemic. The urban/rural dimension turns out to be very important as the remote rural areas are also the oldest. In the map NUTS-3 regions of Europe are colored according to the deviation from European pooled estimate of the proportion of population at risk of death due to COVID-19. We assume that 5/6 of the populations get infected and experience age-specific infection-fatality ratios (IFRs) modelled by the Imperial College COVID-19 Response Team. We adjust IFRs by sex ratios of age-specific case-fatality ratios observed in the European countries that are included in the COVerAGE-DB. Thus, we effectively introduce a summary measure of population age structures focused on the most vulnerable to the pandemic. Such an estimate for the total European population is 1%. The map reflects the unequal population age structures rather than the precise figures on COVID-19 fatality. It is a case-if scenario that highlights the possible effect of the population age structures, a demographic perspective. This analysis clearly shows the contribution of regional differences in population age structures to the magnitude of the pandemic - other things equal, we expect to see a four-fold variation in average regional infection-fatality ratios across Europe due only to differences in the population structures.

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References 11 · Cited by 66

Authors
Kashnitsky, I., & Aburto, J. M.
Affiliations
  • University of Groningen (NL)
  • University of Southern Denmark (DK)
Corresponding author
Kashnitsky, Ilya
Venue
World Development
Publisher
Elsevier BV
Published
2020-12
Volume
136
Pages
105170
ISSN
0305-750X (ISSN-L)
OpenAlex
W3081043152
Cited by
66
References
11
Citations by year
2025: 2 · 2024: 5 · 2023: 14 · 2022: 10 · 2021: 21 · 2020: 14
FWCI
2.35
Type
journal article
Language
en
Open access
Locations
  • World Development (publishedVersion)
  • PubMed Central (publishedVersion)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
Keywords
COVID-19 pandemic, age structure, regional disparities, age-specific mortality risk, infection fatality rate, case fatality rate, sex differences in mortality, urban-rural differences, rural aging, NUTS 3 regions, European regions

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