The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Besides population age structure, health and other demographic factors can contribute to understanding the COVID-19 burden
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Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
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“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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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
COVID-19 and Italy: what next?
Remuzzi, A., & Remuzzi, G. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30627-9 · Cited by 3,119
A Life Course Approach to Chronic Disease Epidemiology
Kuh, D., Ben Shlomo, Y., & Ezra, S. (2004) · doi:10.1093/acprof:oso/9780198578154.001.0001 · Cited by 1,983
Demographic science aids in understanding the spread and fatality rates of COVID-19
Dowd, J. B., Andriano, L., Brazel, D. M., Rotondi, V., Block, P., Ding, X., Liu, Y., & Mills, M. C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004911117 · Cited by 905
Chapter 5 Biomarkers Related To Aging In Human Populations
Crimmins, E. M., Vasunilashorn, S. M., Kim, J. K., & Alley, D. E. (2008) · Advances in clinical chemistry · doi:10.1016/s0065-2423(08)00405-8 · Cited by 159
A duality in aging: the equivalence of mortality models based on radically different concepts
Yashin, A. I., Vaupel, J. W., & Iachine, I. A. (1994) · Mechanisms of Ageing and Development · doi:10.1016/0047-6374(94)90094-9 · Cited by 82
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Zelner, J., Trangucci, R., Naraharisetti, R., Cao, A., Malosh, R. E., Broen, K., Masters, N. B., & Delamater, P. L. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1723 · Cited by 180
Aburto, J. M., Kashyap, R., Schöley, J., Angus, C., Ermisch, J., Mills, M. C., & Dowd, J. B. (2021) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2020-215505 · Cited by 159
Self-citationDudel, C., Riffe, T., Acosta, E., van Raalte, A., Strozza, C., & Myrskylä, M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238904 · Cited by 145
Self-citationExcesso de mortes durante a pandemia de COVID-19: subnotificação e desigualdades regionais no Brasil
Orellana, J. D. Y., da Cunha, G. M., Marrero, L., Moreira, R. I., Leite, I. D. C., & Horta, B. L. (2021) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00259120 · Cited by 146
Variation in SARS-CoV-2 outbreaks across sub-Saharan Africa
Rice, B. L., Annapragada, A. V., Baker, R. E., Bruijning, M., Dotse‐Gborgbortsi, W., Mensah, K., Miller, I. F., Motaze, N. V., Raherinandrasana, A. H., Rajeev, M., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01234-8 · Cited by 101
Metadata
- 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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