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Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: A nationwide population-based ecological study.
Santos, Victor Santana; Siqueira, Thayane Santos; Atienzar, Ana I Cubas; Santos, Maria Augusta Ricardo da Rocha; Vieira, Sarah Cristina Fontes; Lopes, Aline de Siqueira Alves; Silva, José Rodrigo Santos; Martins-Filho, Paulo Ricardo; Cuevas, Luis Eduardo; Gurgel, Ricardo Queiroz.
  • Santos VS; Department of Medicine, Federal University of Sergipe, Lagarto, Brazil.
  • Siqueira TS; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • Atienzar AIC; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • Santos MARDR; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
  • Vieira SCF; Department of Nursing, Federal University of Alagoas, Arapiraca, Brazil.
  • Lopes ASA; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • Silva JRS; Division of Paediatric, Department of Medicine, Federal University of Sergipe, Aracaju, Brazil.
  • Martins-Filho PR; Department of Medicine, Federal University of Sergipe, Lagarto, Brazil.
  • Cuevas LE; Health Sciences Graduate Program, Federal University of Sergipe, Aracaju, Brazil.
  • Gurgel RQ; Department of Statistics and Actuarial Sciences, Federal University of Sergipe, Aracaju, Brazil.
Lancet Reg Health Am ; 13: 100311, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-2211074
ABSTRACT

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 0·10; P < 0·001). 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.

Funding:

None.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Lancet Reg Health Am Year: 2022 Document Type: Article Affiliation country: J.lana.2022.100311

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Lancet Reg Health Am Year: 2022 Document Type: Article Affiliation country: J.lana.2022.100311