Volume 43 - Article 19 | Pages 533–544 Author has provided data and code for replicating results

Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages

By Anthony Medford, Sergi Trias-Llimós

Print this page  

 

References

Comas-Herrera, A., Zalakain, J., Litwin, C., Hsu, A.T., Lane, N., and Fernández, J.L. (2020). Mortality associated with COVID-19 outbreaks in care homes: early international evidence. International Long-Term Care Policy Network.

Weblink https://ltccovid.org/2020/05/22/number-of-dea ...
Download reference in RIS | BibTeX

Dowd, J.B., Andriano, L., Brazel, D.M., Rotondi, V., Block, P., Ding, X., and Mills, M.C. (2020). Demographic science aids in understanding the spread and fatality rates of COVID-19. Proceedings of the National Academy of Sciences 117(18): 9696‒9698.

Weblink doi:10.1073/pnas.2004911117
Download reference in RIS | BibTeX

Dudel, C., Riffe, T., Acosta, E., van Raalte, A., Strozza, C., and Myrskylä, M. (2020). Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality [electronic resource]. MedRxiv.

Weblink doi:10.1101/2020.03.31.20048397
Download reference in RIS | BibTeX

Eurostat (2017). Over 27 million people aged 80 and over in the EU [electronic resource].

Weblink https://ec.europa.eu/eurostat/web/products-eu ...
Download reference in RIS | BibTeX

Eurostat (2020). Eurostat Online [electronic resource].

Weblink https://ec.europa.eu/eurostat/databrowser/vie ...
Download reference in RIS | BibTeX

Human Mortality Database (2020). Human Mortality Database [electronic resource]. University of California, Berkeley: University of California, Berkeley & Max Planck Institute for Demographic Research.

Weblink www.humanmortality.de www.mortality.org
Download reference in RIS | BibTeX

Molinuevo, D. and Anderson, R. (2017). Care homes for older Europeans: Public, for-profit and non-profit providers. Luxembourg: Publications Office of the European Union.

Download reference in RIS | BibTeX

Onder, G., Rezza, G., and Brusaferro, S. (2020). Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. Jama 323(18): 1775‒1776.

Weblink doi:10.1001/jama.2020.4683
Download reference in RIS | BibTeX

Phelan, A.L., Katz, R., and Gostin, L.O. (2020). The novel coronavirus originating in Wuhan, China: Challenges for global health governance. Jama 323(8): 709‒710.

Weblink doi:10.1001/jama.2020.1097
Download reference in RIS | BibTeX

Preston, S.H., Heuveline, P., and Guillot, M. (2001). Demography: Measuring and modelling population process. Oxford: Blackwell.

Download reference in RIS | BibTeX

Riffe, T. and Acosta, E. (2020). COVerAGE-DB: A database of COVID-19 cases and deaths by age [electronic resource].

Weblink doi:10.17605/OSF.IO/MPWJQ
Download reference in RIS | BibTeX

Valderas, J.M., Starfield, B., Sibbald, B., Salisbury, C., and Roland, M. (2009). Defining comorbidity: Implications for understanding health and health services. The Annals of Family Medicine 7(4): 357‒363.

Weblink doi:10.1370/afm.983
Download reference in RIS | BibTeX

World Health Organization (2020). Coronavirus disease 2019 (COVID-19). Situation Report – 140 21-04-2020.

Weblink https://www.who.int/docs/default-source/coron ...
Download reference in RIS | BibTeX

World Health Organization (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19 ‒ 11 March 2020.

Weblink https://www.who.int/dg/speeches/detail/who-di ...
Download reference in RIS | BibTeX

Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., and Zhou, Y. (2020). Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: A systematic review and meta-analysis. International Journal of Infectious Diseases 94: 91‒95.

Weblink doi:10.1016/j.ijid.2020.03.017
Download reference in RIS | BibTeX