Besides population age structure, health and other demographic factors can contribute to understanding the COVID-19 burden

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

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

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

Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area

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

Ten Million or One Hundred Million Casualties? – The Impact of the COVID-19 Crisis on the Least Developed and Developing Countries and Europe’s Sustainability AgendaPreprint

Zetzsche, D. A., & Consiglio, R. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3841596 · Cited by 1

Heterogeneity of the COVID-19 epidemic in Australia: What can we learn from it?Preprint

Chen, Q., & Assefa, Y. A. (2021) · Research Square · doi:10.21203/rs.3.rs-272806/v1 · Cited by 1

Modeling the Evolution of Infectious Diseases with Functional Data Models: The Case of COVID-19 in BrazilPreprint

Collazos, J. A. A., Dias, R., & Medeiros, M. C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.01952 · Cited by 1

Políticas sociais: acompanhamento e análise

(2022) · doi:10.38116/bps28 · Cited by 1

Understanding the SARS-CoV-2 to Manage COVID-19

Karak, S., & Radha, V. (2020) · Indian Journal of Cardiovascular Disease in Women · doi:10.1055/s-0040-1717049

Contribution of age-related effects to COVID-19 differences of crude fatality ratios in two Argentine provinces between March and August 2020Preprint

Bramajo, O. N., & Bathory, M. F. (2020) · medRxiv · doi:10.1101/2020.11.28.20240127

The changing age-structure of Coronavirus SARS-CoV-2 deaths and cases a case study of Paraná, BrazilPreprint

Guimarães, R. R. D. M., Nepomuceno, M. R., Nasr, A. M. L. F., Garcia, J. R., Lopes, M. G. D., Werner, N., & Preto, C. A. G. (2020) · doi:10.31219/osf.io/3mdq4

Human Mobility and Epidemic EvolutionPreprint

Vanni, F., Lambert, D., Palatella, L., & Paolo Grigolini, A. (2021) · Research Square · doi:10.21203/rs.3.rs-523589/v1

6 - Como a aceleração dos casos e óbitos, para além da tendência, explica a dinâmica da Covid-19 no Brasil?

Guimarães, R. M., Cavalcante, J. R., Eleutério, T. D. A., Velasco, M. D. S., Menezes, R. D. A., Gomes, R. B., Silva, D., & Brusse, G. P. D. L. (2021) · Série Informação para ação na Covid-19 | Fiocruz eBooks · doi:10.7476/9786557081211.0007

Age Structure and Living Arrangements Shape the Vulnerability of Spanish Provinces to Outbreaks of Covid-19Preprint

Boertien, D., Esteve, A., & Permanyer, I. (2020) · doi:10.31235/osf.io/ug2c8

Estimation and projection of probabilistic age- and sex-specific mortality rates across Brazilian municipalities between 2010 and 2030Preprint

Gonzaga, M. R., Queiroz, B. L., da Silva, J. H. C. M., de Lima, E. E. C., Silva-Júnior, W. P., Diógenes, V. H. D., Flores-Ortiz, R., da Costa, L. C. C., Pinto, E. P., Ichihara, M. Y., et al. (2022) · doi:10.31219/osf.io/egrc9

A Mathematical Consideration on the Relation of the Social Structure to the Infection Risk in a Community

Sofia, E. F., & Seno, H. (2023) · Interdisciplinary Information Sciences · doi:10.4036/iis.2023.r.02

"Contributions of household projection method in the Brazilian context

Brusse, G. P. D. L. (2021) · doi:10.47749/t/unicamp.2021.1166889

Spatial analysis of hospital-related mortality due to COVID-19 among children and adolescents in Brazil

Costa, S. D. S. B., Branco, M. D. R. F. C., Pereira, A. R., Costa, E. M., Araújo, M. S. M., de Oliveira, D. C., de Oliveira, B. L. C. A., Rangel, M. E. S., Tonello, A. S., Lopes, D. A. M., et al. (2024) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232024291.19892022

The relation of job stress to mental health of junior high school teachers and the related mechanisms in Post-pandemic eraPreprint

Wang, S., Pu, L., Yu, J., & Li, J. (2024) · Research Square · doi:10.21203/rs.3.rs-4017883/v1

Neopterin production in relation to COVID-19 in the Haut-Ogooué Province, Gabon

Dibakou, S. E., Ntigui, C. N. M. M., Oyegue-Liabagui, S. L., Ekore, D. O., Nguema, L. Y. O., Lékana-Douki, J. B., & Ngoubangoye, B. (2024) · BMC Infectious Diseases · doi:10.1186/s12879-024-09766-3

Scaling, Power-Law First Return Times, and Non-Ergodicity

Lambert, D. R. (2022) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc1987323

Forecasting life expectancy in São Paulo City, Brazil, amidst the COVID-19 pandemic

Miranda, M. L., Turra, C. M., & Basellini, U. (2025) · Population Health Metrics · doi:10.1186/s12963-025-00397-7

Significant But Small: The Modest Impact of Population Ageing on Covid-19 Infection Across a Global ContextPreprint

You, W., Donnelly, F., Garcia, L., & Chang, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5362186

Conclusion: Lessons Learned from the COVID-19 Pandemic for a Better Future

Seftiani, S., & Pamungkas, C. (2025) · Quality of life in Asia · doi:10.1007/978-981-96-4222-9_6

Getting back on track: cause-specific dynamics of life expectancy change during and after the COVID-19 pandemic in Argentinian provincesPreprint

Bathory, F., & Bramajo, O. N. (2025) · Research Square · doi:10.21203/rs.3.rs-7697349/v1

Poverty and ethnic patterns in COVID-19 excess mortality: evidence from Chile, 2020-2022

Subedi, R. K., Mamelund, S., Delgado, I., Matute, I., Castillo-Laborde, C., Joaquin-Damas, E., & Chowell, G. (2025) · American Journal of Epidemiology · doi:10.1093/aje/kwaf274

Additional file 1 of Potential impact of individual exposure histories to endemic human coronaviruses on age-dependent severity of COVID-19

Pinotti, F., Wikramaratna, P. S., Obolski, U., Paton, R. S., Damineli, D. S. C., Alcantara, L. C. J., Giovanetti, M., Gupta, S., & Lourenço, J. (2021) · Figshare · doi:10.6084/m9.figshare.13558584

Additional file 1 of Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020

Schlüter, B.-S., Masquelier, B., & Camarda, C. G. (2022) · Figshare · doi:10.6084/m9.figshare.19726745

Additional file 1 of Estimation and probabilistic projection of age- and sex-specific mortality rates across Brazilian municipalities between 2010 and 2030

Gonzaga, M. R., Queiroz, B. L., Freire, F. H. M. D. A., da Silva, J. H. C. M., de Lima, E. E. C., Silva-Júnior, W. P., Diógenes, V. H. D., Flores-Ortiz, R., da Costa, L. C. C., Pinto, E. P., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26725934

In the name of immunity, for the sake of the sacred: An analysis of the Iranian government's response to the COVID-19 outbreak

Safari, S. (2026) · Global Public Health · doi:10.1080/17441692.2026.2648971

COVID-19 Mathematical Modeling During the First Five Years: A Comprehensive Review of Classical, Stochastic, and Fractional Approaches

Din, A., & Aqsa, N. (2026) · COVID · doi:10.3390/covid6090154

The Preparedness-Performance Puzzle: Adaptive Governance and the Limits of Global Health Security

McKeown, J. C. (2026) · International Studies Perspectives · doi:10.1093/isp/ekag016

Spatial Dynamics of Excess Mortality During COVID-19 in Brazil: Municipal-Level Monthly Estimates, 2020–2022

Queiroz, B. L., de Lima, E. E. C., Díaz, J. P. M., Gonzaga, M. R., Freire, F. H. M. D. A., & Baptista, E. A. (2026) · Spatial Demography · doi:10.1007/s40980-026-00174-6

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

National Profiles of Coronavirus Disease 2019 Mortality Risks by Age Structure and Preexisting Health Conditions

Verdery, A. M., Newmyer, L., Wagner, B., & Margolis, R. (2020) · The Gerontologist · doi:10.1093/geront/gnaa152 · Cited by 25

Population Health and COVID-19 in Canada: a Demographic Comparative Perspective

Ghio, D., Acosta, E., Fisman, D. N., Noymer, A., Stilianakis, N. I., & Bignami, S. (2021) · Canadian Studies in Population · doi:10.1007/s42650-021-00057-9 · Cited by 5

Age, Multiple Chronic Conditions, and COVID-19: A Literature Review

Tisminetzky, M. S., Delude, C., Hebert, T., Carr, C., Goldberg, R. J., & Gurwitz, J. H. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa320 · Cited by 104

Covid-19 and Population Age StructurePreprint

Haridas, A., & Prathap, G. (2020) · medRxiv · doi:10.1101/2020.05.31.20118349