Estimates of the impact of COVID-19 on mortality of institutionalized elderly in Brazil
Cien Saude Colet. 2020 Sep;25(9):3437-3444.
doi: 10.1590/1413-81232020259.14552020.
Epub 2020 Aug 28.
[Article in
English,
Portuguese]
Affiliations
- 1 Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, [email protected].
- 2 Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fiocruz, Rio de Janeiro, RJ, Brazil.
- 3 Departamento de Saúde Mental, Faculdade de Medicina, UFMG, Brazil.
- 4 MedLogic, Belo Horizonte, MG, Brazil.
- 5 Hospital das Clínicas, UFMG, Belo Horizonte, MG, Brazil.
- 6 Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, MG, Brazil.
- 7 Departamento de Clínica Médica, UFMG, Belo Horizonte, MG, Brazil.
Abstract
The COVID-19 pandemic poses difficulties for long-term care institutions for the elderly, with increased mortality rates for the residents. This study aims to estimate the impact of COVID-19 on mortality of institutionalized elderly in Brazil. Estimates of the percentage of elderly deaths occurring in care homes were calculated for Brazil, States and Regions using estimates for the total number of deaths. The estimation was based upon information available for other countries. The weighted percentage was 44.7% and 107,538 COVID-19 deaths were estimated for the elderly in these institutions in Brazil in 2020. Higher numbers of deaths were expected in the Southeast Region (48,779 deaths), followed by the Northeast Region (28,451 deaths); São Paulo was the most affected State (24,500 deaths). The strong impact of COVID-19 on the elderly population living in long-term care facilities is clear. Estimates for the country exceeded 100,000 elderly people, potentially the most fragile and vulnerable, and are based upon a conservative number of total deaths, in view of other estimates and the alarming situation of death growth in Brazil from COVID-19.
MeSH terms
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Aged
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Aged, 80 and over
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Brazil / epidemiology
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COVID-19
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Computer Simulation
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Coronavirus Infections / epidemiology
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Coronavirus Infections / mortality*
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Cross-Sectional Studies
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Homes for the Aged / statistics & numerical data*
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Humans
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Institutionalization / statistics & numerical data
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Long-Term Care*
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Pandemics
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Pneumonia, Viral / epidemiology
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Pneumonia, Viral / mortality*