Excess mortality in Israel associated with COVID-19 in 2020–2021 by age group and with estimates based on daily mortality patterns in 2000–2019

Author:

Peretz Chava1ORCID,Rotem Naama2,Keinan-Boker Lital34,Furshpan Avner5,Green Manfred3,Bitan Michal6,Steinberg David M6

Affiliation:

1. Department of Epidemiology, School of Public Health, Tel Aviv University , Tel Aviv, Israel

2. Central Bureau of Statistics , Jerusalem, Israel

3. School of Public Health, University of Haifa , Haifa, Israel

4. Israel Center for Disease Control, Ministry of Health, Ramat Gan, Israel

5. Israel Meteorological Service, Beit Dagan, Israel

6. Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University , Tel Aviv, Israel

Abstract

Abstract Background We aimed to build a basic daily mortality curve in Israel based on 20-year data accounting for long-term and annual trends, influenza-like illness (ILI) and climate factors among others, and to use the basic curve to estimate excess mortality during 65 weeks of the COVID-19 pandemic in 2020–2021 stratified by age groups. Methods Using daily mortality counts for the period 1 January 2000 to 31 December 2019, weekly ILI counts, daily climate and yearly population sizes, we fitted a quasi-Poisson model that included other temporal covariates (a smooth yearly trend, season, day of week) to define a basic mortality curve. Excess mortality was calculated as the difference between the observed and expected deaths on a weekly and periodic level. Analyses were stratified by age group. Results Between 23 March 2020 and 28 March 2021, a total of 51 361 deaths were reported in Israel, which was 12% higher than the expected number for the same period (expected 45 756 deaths; 95% prediction interval, 45 325–46 188; excess deaths, 5605). In the same period, the number of COVID-19 deaths was 6135 (12% of all observed deaths), 9.5% larger than the estimated excess mortality. Stratification by age group yielded a heterogeneous age-dependent pattern. Whereas in ages 90+ years (11% excess), 100% of excess mortality was attributed to COVID-19, in ages 70–79 years there was a greater excess (21%) with only 82% attributed to COVID-19. In ages 60–69 and 20–59 years, excess mortality was 14% and 10%, respectively, and the number of COVID-19 deaths was higher than the excess mortality. In ages 0–19 years, we found 19% fewer deaths than expected. Conclusion The findings of an age-dependent pattern of excess mortality may be related to indirect pathways in mortality risk, specifically in ages <80 years, and to the implementation of the lockdown policies, specifically in ages 0–19 years with lower deaths than expected.

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

Reference21 articles.

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