Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: A nationwide population-based ecological study

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作者
Santos, Victor Santana [1 ,2 ,8 ]
Siqueira, Thayane Santos [2 ]
Atienzar, Ana I. Cubas [3 ]
Santos, Maria Augusta Ricardo da Rocha [4 ]
Vieira, Sarah Cristina Fontes [2 ,5 ]
Lopes, Aline de Siqueira Alves [1 ,2 ]
Silva, Jose Rodrigo Santos [6 ]
Martins-Filho, Paulo Ricardo [2 ,7 ]
Cuevas, Luis Eduardo [3 ]
Gurgel, Ricardo Queiroz [2 ,5 ]
机构
[1] Univ Fed Sergipe, Dept Med, Lagarto, Brazil
[2] Univ Fed Sergipe, Hlth Sci Grad Program, Aracaju, Brazil
[3] Univ Liverpool Liverpool Sch Trop Med, Dept Clin Sci, Liverpool, England
[4] Univ Fed Alagoas, Dept Nursing, Arapiraca, Brazil
[5] Univ Fed Sergipe, Dept Med, Div Paediat, Aracaju, Brazil
[6] Univ Fed Sergipe, Dept Stat & Actuarial Sci, Aracaju, Brazil
[7] Univ Fed Sergipe, Invest Pathol Lab, Aracaju, Brazil
[8] Univ Fed Sergipe, Lagarto, Campus Lagarto,Ave Gov Marcelo De da s-n, BR-49400000 Lagarto, Sergipe, Brazil
来源
LANCET REGIONAL HEALTH-AMERICAS | 2022年 / 13卷
关键词
COVID-19; Spatial distribution; Social determinants of health; Mortality; Children; Adolescents; Brazil;
D O I
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中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Data regarding the geographical distribution of cases and risk factors for COVID-19 death in children and adolescents are scarce. We describe the spatial distribution of COVID-19 cases and deaths in paediatric population and their association with social determinants of health in Brazil. Methods This is a population-based ecological study with a spatial analysis of all cases and deaths due to COVID-19 in Brazil among children and adolescents aged 0-19 years from March 2020 to October 2021. The units of analysis were the 5570 municipalities. Data on COVID-19 cases and deaths, social vulnerability, health inequities, and health system capacity were obtained from publicly available databases. Municipalities were stratified from low to very high COVID-19 incidence and mortality using K-means clustering procedures, and spatial clusters and relative risks were estimated using spatial statistics with Poisson probability models. The relationship between COVID-19 estimates and social determinants of health was explored by using multivariate Beta regression techniques. Findings A total of 33,991 COVID-19 cases and 2424 deaths among children and adolescents aged 0-19 years were recorded from March 2020 to October 2021. There was a spatial dependence for the crude mortality coefficient per 100,000 population in the paediatric population aged 0-19 years (I Moran 0 center dot 10; P < 0 center dot 001). Forty municipalities had higher mortality rates, of which 20 were in states from the Northeast region. Seven spatial clusters were identified for COVID-19 mortality, with four clusters in the Northeast region and three in the North region. Municipalities with higher social inequality and vulnerability had higher COVID-19 mortality in the paediatric population. Interpretation The main clusters of risk for mortality among children and adolescents were identified in municipalities in the North and Northeast regions, which are the regions with the worst socioeconomic indicators and greatest health disparities in the country. Our findings confirmed the higher burden of COVID-19 for Brazilian paediatric population in municipalities with higher social inequality and vulnerability and worse socioeconomic indicators. To reduce the burden of COVID-19 on children, mass immunisation is necessary. Copyright (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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页数:13
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