Excess Mortality since COVID-19: What Data Do We Need and What Questions Should We Ask to Understand its Causes in Portugal?

Authors

  • Vasco Ricoca Peixoto NOVA National School of Public Health. Public Health Research Centre. Universidade Nova de Lisboa. Lisbon. Comprehensive Health Research Centre. Universidade NOVA de Lisboa. Lisbon. https://orcid.org/0000-0002-7529-8206
  • André Vieira NOVA National School of Public Health. Public Health Research Centre. Universidade Nova de Lisboa. Lisbon. Comprehensive Health Research Centre. Universidade NOVA de Lisboa. Lisbon. https://orcid.org/0000-0002-7462-5535
  • Pedro Aguiar NOVA National School of Public Health. Public Health Research Centre. Universidade Nova de Lisboa. Lisbon. Comprehensive Health Research Centre. Universidade NOVA de Lisboa. Lisbon. https://orcid.org/0000-0002-0074-7732
  • Alexandre Abrantes NOVA National School of Public Health. Public Health Research Centre. Universidade Nova de Lisboa. Lisbon. Comprehensive Health Research Centre. Universidade NOVA de Lisboa. Lisbon. https://orcid.org/0000-0002-1047-3464

DOI:

https://doi.org/10.20344/amp.19080

Keywords:

COVID-19, Death Certificates, Health Surveys, Healthcare Services, Mortality

Abstract

N/a.

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References

Eurostat. Excess mortality - statistics - Statistics Explained. [cited 2022 Sep 08]. Available from: https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Excess_mortality_-_statistics.

Shkolnikov VM, Klimkin I, McKee M, Jdanov DA, Alustiza-Galarza A, Németh L, et al. What should be the baseline when calculating excess mortality? New approaches suggest that we have underestimated the impact of the COVID-19 pandemic and previous winter peaks. SSM Popul Health. 2022;18101118.

COVID-19 Excess Mortality Collaborators. Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21. Lancet. 2022;399:1513-36.

Sousa Pinto C, Anderson RN, Martins H, Marques C, Maia C, Borralho MC. Mortality information system in Portugal: transition to e-death certification. Eurohealth. 2016;22:1-53.

Pita Ferreira P, Godinho Simões D, Pinto de Carvalho C, Duarte F, Fernandes E, Casaca P, et al. A real-time classification of causes of

death using artificial intelligence: sensitivity analysis. JMIR Preprints. 11/07/2022:40965.

Eurostat. Persons at risk of poverty or social exclusion by age and sex. [cited 2022 Sep 19]. Available from: https://ec.europa.eu/eurostat/databrowser/view/ilc_peps01n/default/table?lang=en.

Uusküla A, Jürgenson T, Pisarev H, Kolde R, Meister T, Tisler A, et al. Long-term mortality following SARS-CoV-2 infection: a national cohort study from Estonia. Lancet Reg Health Eur. 2022;18:100394.

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Published

2022-09-27

How to Cite

1.
Ricoca Peixoto V, Vieira A, Aguiar P, Abrantes A. Excess Mortality since COVID-19: What Data Do We Need and What Questions Should We Ask to Understand its Causes in Portugal?. Acta Med Port [Internet]. 2022 Sep. 27 [cited 2022 Dec. 7];35(11):783-5. Available from: https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/19080

Issue

Section

Editorial