Besides population age structure, health and other demographic factors can contribute to understanding the COVID-19 burden
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Simply counting total excess deaths does not provide an understanding of the substantial variation by age and sex over time in elevated mortality risks, nor does it allow for a comparison of current mortality conditions with past conditions due to changes in population age structure.
“While this metric provides an important measure of the burden of the pandemic on a society, simply counting total excess deaths does not provide an understanding of the substantial variation by age and sex over time in elevated mortality risks.10 11 nor does it allow for a comparison of current mortality conditions with past conditions due to changes in population age structure over the period.”
From Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis (2021) · cites this paper as [11]
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Unlocking capacities of viral genomics for the COVID-19 pandemic responsePreprint
Knyazev, S., Chhugani, K., Sarwal, V., Ayyala, R., Singh, H., Karthikeyan, S., Deshpande, D., Comarova, Z., Lu, A., Porozov, Y. B., et al. (2021) · PubMed · doi:10.48550/arxiv.2104.14005 · Cited by 2 · see citing works
The 1968 Influenza Pandemic and COVID-19 OutcomesPreprint
Taylor, C. A., Boulos, C., & Memoli, M. J. (2021) · medRxiv · doi:10.1101/2021.10.23.21265403 · Cited by 2 · see citing works
Al-Saray, D. A., Al-Asady, F. M., & Tuhair, T. (2022) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2022.9372 · Cited by 1 · see citing works
Ridenti, M. A., Teles, L. K., Maranhão, A., & Teles, V. K. (2022) · Mathematical Medicine and Biology A Journal of the IMA · doi:10.1093/imammb/dqac015 · Cited by 1 · see citing works
Nunes, R. Z. D. S., Vitali, M. M., Tomasi, C. D., & Tuon, L. (2020) · Revista Gestão & Saúde · doi:10.26512/gs.v11i3.32112 · Cited by 1 · see citing works
Desafíos para la protección de las personas mayores y sus derechos frente a la pandemia de COVID-19
Economic Commission for Latin America and the Caribbean (2021) · Informes COVID-19 de la CEPAL · doi:10.18356/9789214030669 · Cited by 1 · see citing works
THE ROLE OF EDUCATION ON INFECTIOUS DISEASES MORTALITY RATES: THE COVID-19 CASE
Barrichello, A., Morano, R. S., Jacomossi, R. R., & Feldmann, P. R. (2022) · South American Development Society Journal · doi:10.24325/issn.2446-5763.v8i22p117-131 · Cited by 1 · see citing works
Bioactive composition and TLC profile data on PAX herbal health tea and PAX herbal diatea
Owolabi, T. A., & Amodu, E. (2022) · International Journal of Advanced Chemistry · doi:10.14419/ijac.v10i2.32112 · Cited by 1 · see citing works
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Contrasting pre-vaccine COVID-19 waves in Italy through functional data analysis
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A contribuição da demografia para os estudos de mortalidade em tempos de pandemia
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Age class structure in SIRD models for the COVID-19 – An analysis of Tennessee data
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Heterogeneity of the COVID-19 epidemic: what can we learn from it?
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- Authors
- Nepomuceno, M. R., Acosta, E., Alburez-Gutierrez, D., Aburto, J. M., Gagnon, A., & Turra, C. M.
- Affiliations
- Max Planck Institute for Demographic Research (DE)
- Digital and Computational Demography, Max Planck Institute for Demographic Research, 18057 Rostock, Germany;
- University of Southern Denmark (DK)
- Centre de recherche en santé publique (CA)
- Universidade Federal de Minas Gerais (BR)
- Corresponding author
- Nepomuceno, Marília R.
- Acosta, Enrique
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-06-23
- Volume
- 117
- Issue
- 25
- Pages
- 13881-13883
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7322063
- OpenAlex
- W3036627488
- Cited by
- 129
- References
- 8
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 13 · 2023: 4 · 2022: 24 · 2021: 47 · 2020: 28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by-nc-nd)
- Funders
- Leverhulme Trust
- University of Oxford
- Syddansk Universitet
- Universidade Federal de Minas Gerais
- Max-Planck-Institut für demografische Forschung
- H2020 European Research Council (716323)
- 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, disease burden, age structure, health status, demographic factors
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Demography, Humans, Pneumonia, Viral, Coronavirus Infections, Pandemics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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