Excess Mortality Estimation During the COVID-19 Pandemic: Preliminary Data from Portugal
Título
Excess Mortality Estimation During the COVID-19 Pandemic: Preliminary Data from Portugal
Autor
Paulo Jorge Nogueira, Miguel de Araújo Nobre, Paulo Jorge Nicola, Cristina Furtado, António Vaz Carneiro
Descripción
Introduction: Portugal is experiencing the effects of the COVID-19 pandemic since March 2020. All-causes mortality in Portugal increased during March and April 2020 compared to previous years, but this increase is not explained by COVID-19 reported deaths. The aim of this study was to analyze and consider other criteria for estimating excessive all-causes mortality during the early COVID-19pandemic period. Material and Methods: Public data was used to estimate excess mortality by age and region between March 1 and April 22, proposing baselines adjusted for the lockdown period. Results: Despite the inherent uncertainty, it is safe to assume an observed excess mortality of 2400 to 4000 deaths. Excess mortality was associated with older age groups (over age 65). Discussion: The data suggests a ternary explanation for early excess mortality: COVID-19, non-identified COVID-19 and decrease in access to healthcare. The estimates have implications in terms of communication of non-pharmaceutical actions, for research, and to healthcare professionals. Conclusion: The excess mortality occurred between March 1 and April 22 was 3.5- to 5-fold higher than what can be explained by the official COVID-19 deaths.
Fecha
2020
Materia
coronavirus, mortality, coronavirus infections, Disease Outbreaks, pandemics, Portugal
Identificador
10.20344/amp.13928
Fuente
Acta Médica Portuguesa
Editor
Ordem dos Médicos
Cobertura
Medicine, Medicine (General)
Colección
Citación
Paulo Jorge Nogueira, Miguel de Araújo Nobre, Paulo Jorge Nicola, Cristina Furtado, António Vaz Carneiro, “Excess Mortality Estimation During the COVID-19 Pandemic: Preliminary Data from Portugal,” SOCICT Open, consulta 19 de abril de 2026, https://socictopen.socict.org/items/show/9874.
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