The coronavirus disease (COVID-19) pandemic is causing substantial increases in mortality across populations worldwide. According to the World Health Organization, by 22 May 2020, >325 000 confirmed COVID-19 deaths have occurred worldwide.1 The pandemic has overwhelmed health systems in many countries, potentially leading to increases in morbidity and mortality beyond the direct impact of COVID-19 infection. These increases in mortality, both direct and indirect, have the potential to cause stagnations or declines in life expectancy.

Life expectancy at birth in Madrid (Spain) in 1987–2018 and counterfactual in 2020 assuming observed excessed mortality on weeks 11–19 (from 9 March to 10 May 2020).
Fig. 1

Life expectancy at birth in Madrid (Spain) in 1987–2018 and counterfactual in 2020 assuming observed excessed mortality on weeks 11–19 (from 9 March to 10 May 2020).

We examined the role of COVID-19 crisis on potential annual life expectancy levels in the region of Madrid, the most affected region in Spain.2,3 We do so by estimating expected changes in annual life expectancy accounting for the excess mortality for the weeks 11th to 19th in 2020 (from 9 March to 10 May 2020), using data from the Spanish Sistema de vigilancia de la mortalidad diaria (Daily Mortality Surveillance System, MoMo, updated 29 April 2020).4 We calculated excess mortality (death counts) during the analyzed period by subtracting observed minus expected mortality by age group (<65, 65–74 and >75) and sex. During weeks 11th through 19th, 2020, there were 18 958 observed deaths in Madrid, resulting in an excess of 11 815 deaths.4 For age <65, excess mortality was distributed according to the distribution of COVID-19 deaths for Spain.3 The expected annual increase in age- and sex-specific mortality was estimated by using the estimated excess mortality and assuming no other changes in mortality in the other weeks of the year. Estimates of the counterfactual life expectancy in 2020 were derived using the life tables for Madrid in 2018 from the Instituto de Estadística de la Comunidad de Madrid (Statistics Institute of the region of Madrid).5

Our results suggest a decline in life expectancy at birth of 1.9 years among men and 1.6 years among women, which corresponds to the levels of 2009 (Fig. 1). These estimates can be considered conservative, as we have assumed that mortality for the rest of the year would follow the expected mortality for previous years. There are reasons to believe that there will be excess mortality, at least in the following weeks, as the COVID-19 epidemic is still ongoing in the region. Moreover, the significant medium-term impact of the disruption of the healthcare system could result in a higher death toll in the following months because of chronic conditions that have not been controlled during the peak of the pandemic. On the other side, a decline mortality rate attributable to a harvesting effect is also possible, as observed after severe flu seasons. The relative strength of both phenomena will determine whether the life expectancy decline we have estimated will be more or less intense by the end of the year.

In conclusion, we have shown that the COVID-19 pandemic has the potential to severely affect annual life expectancy in Madrid. Continuing to monitor trends in life expectancy in Madrid and worldwide will provide valuable evidence on the total impact of the pandemic on mortality.

Conflict of Interests

The authors declare no conflict of interest.

S. Trias-Llimós, Research Fellow

U. Bilal, Assistant Professor

References

1

World Health Organization
.
Coronavirus Disease 2019 (COVID-19) Situation Report – 123 [Internet]
.
2020
. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200522-covid-19-sitrep-123.pdf?sfvrsn=5ad1bc3_4 (
23 May 2020, date last accessed
).

2

Legido-Quigley
H
,
Mateos-García
JT
,
Campos
VR
et al.
The resilience of the Spanish health system against the COVID-19 pandemic
.
Lancet Public Health
;
advance access publication 18 March 2020
. doi: .

3

Actualización no 78
. Enfermedad por el coronavirus (COVID-19). [Internet].
2020
.
Centro de Coordinación de Alertas y Emergencias Sanitarias
.
Ministerio de Sanidad
,
Gobierno de España
). https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_78_COVID-19.pdf (
19 April 2020, date last accessed
).

4

Instituto Carlos III
.
Sistema de Vigilancia de la Mortalidad Diaria (Daily Mortality Surveillance System, MoMo) [Internet]
.
Instituto Carlos III
. https://momo.isciii.es/public/momo/dashboard/momo_dashboard.html#datos (
22 May 2020, date last accessed
).

5

Esperanza de Vida de la Comunidad de Madrid
.
Tablas de Mortalidad. 1986-2018
. http://www.madrid.org/iestadis/fijas/estructu/demograficas/mnp/estructuespevidatab.htm (
17 April 2020, date last accessed
).

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)