COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index

COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index

Abstract INTRODUCTION: Health planning is required for the control and prevention of severe cases of COVID-19 in children. METHODS: Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted. RESULTS: A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001). CONCLUSIONS: Considering the local particularities can assist in directing the priorities for decision making.

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Main Authors: Silva,Amanda Priscila de Santana Cabral, Holanda,Eliane Rolim de, Abreu,Paula Daniella de, Freitas,Marcelo Victor de Arruda
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Medicina Tropical - SBMT 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100637
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spelling oai:scielo:S0037-868220210001006372021-04-09COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development IndexSilva,Amanda Priscila de Santana CabralHolanda,Eliane Rolim deAbreu,Paula Daniella deFreitas,Marcelo Victor de Arruda Pandemic Coronavirus infections Child health Spatial analysis Surveillance Public health Abstract INTRODUCTION: Health planning is required for the control and prevention of severe cases of COVID-19 in children. METHODS: Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted. RESULTS: A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001). CONCLUSIONS: Considering the local particularities can assist in directing the priorities for decision making.info:eu-repo/semantics/openAccessSociedade Brasileira de Medicina Tropical - SBMTRevista da Sociedade Brasileira de Medicina Tropical v.54 20212021-01-01info:eu-repo/semantics/othertext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100637en10.1590/0037-8682-0782-2020
institution SCIELO
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Silva,Amanda Priscila de Santana Cabral
Holanda,Eliane Rolim de
Abreu,Paula Daniella de
Freitas,Marcelo Victor de Arruda
spellingShingle Silva,Amanda Priscila de Santana Cabral
Holanda,Eliane Rolim de
Abreu,Paula Daniella de
Freitas,Marcelo Victor de Arruda
COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
author_facet Silva,Amanda Priscila de Santana Cabral
Holanda,Eliane Rolim de
Abreu,Paula Daniella de
Freitas,Marcelo Victor de Arruda
author_sort Silva,Amanda Priscila de Santana Cabral
title COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
title_short COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
title_full COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
title_fullStr COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
title_full_unstemmed COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
title_sort covid-19 in children in the state of pernambuco: spatial analysis of confirmed severe cases and the human development index
description Abstract INTRODUCTION: Health planning is required for the control and prevention of severe cases of COVID-19 in children. METHODS: Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted. RESULTS: A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001). CONCLUSIONS: Considering the local particularities can assist in directing the priorities for decision making.
publisher Sociedade Brasileira de Medicina Tropical - SBMT
publishDate 2021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100637
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AT abreupauladaniellade covid19inchildreninthestateofpernambucospatialanalysisofconfirmedseverecasesandthehumandevelopmentindex
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