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...

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Published in:Revista da Sociedade Brasileira de Medicina Tropical
Main Authors: Amanda Priscila de Santana Cabral Silva, Eliane Rolim de Holanda, Paula Daniella de Abreu, Marcelo Victor de Arruda Freitas
Format: Article in Journal/Newspaper
Language:English
Published: Sociedade Brasileira de Medicina Tropical (SBMT) 2021
Subjects:
Online Access:https://doi.org/10.1590/0037-8682-0782-2020
https://doaj.org/article/ecadb614ccf547ef8cacc2ea0107578f
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spelling ftdoajarticles:oai:doaj.org/article:ecadb614ccf547ef8cacc2ea0107578f 2023-05-15T15:01:42+02:00 COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index Amanda Priscila de Santana Cabral Silva Eliane Rolim de Holanda Paula Daniella de Abreu Marcelo Victor de Arruda Freitas 2021-03-01T00:00:00Z https://doi.org/10.1590/0037-8682-0782-2020 https://doaj.org/article/ecadb614ccf547ef8cacc2ea0107578f EN eng Sociedade Brasileira de Medicina Tropical (SBMT) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100637&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0782-2020 https://doaj.org/article/ecadb614ccf547ef8cacc2ea0107578f Revista da Sociedade Brasileira de Medicina Tropical, Vol 54 (2021) Pandemic Coronavirus infections Child health Spatial analysis Surveillance Public health Arctic medicine. Tropical medicine RC955-962 article 2021 ftdoajarticles https://doi.org/10.1590/0037-8682-0782-2020 2022-12-31T03:20:23Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Revista da Sociedade Brasileira de Medicina Tropical 54
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Pandemic
Coronavirus infections
Child health
Spatial analysis
Surveillance
Public health
Arctic medicine. Tropical medicine
RC955-962
spellingShingle Pandemic
Coronavirus infections
Child health
Spatial analysis
Surveillance
Public health
Arctic medicine. Tropical medicine
RC955-962
Amanda Priscila de Santana Cabral Silva
Eliane Rolim de Holanda
Paula Daniella de Abreu
Marcelo Victor de Arruda Freitas
COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index
topic_facet Pandemic
Coronavirus infections
Child health
Spatial analysis
Surveillance
Public health
Arctic medicine. Tropical medicine
RC955-962
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.
format Article in Journal/Newspaper
author Amanda Priscila de Santana Cabral Silva
Eliane Rolim de Holanda
Paula Daniella de Abreu
Marcelo Victor de Arruda Freitas
author_facet Amanda Priscila de Santana Cabral Silva
Eliane Rolim de Holanda
Paula Daniella de Abreu
Marcelo Victor de Arruda Freitas
author_sort Amanda Priscila de Santana Cabral Silva
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
publisher Sociedade Brasileira de Medicina Tropical (SBMT)
publishDate 2021
url https://doi.org/10.1590/0037-8682-0782-2020
https://doaj.org/article/ecadb614ccf547ef8cacc2ea0107578f
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Revista da Sociedade Brasileira de Medicina Tropical, Vol 54 (2021)
op_relation http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822021000100637&tlng=en
https://doaj.org/toc/1678-9849
1678-9849
doi:10.1590/0037-8682-0782-2020
https://doaj.org/article/ecadb614ccf547ef8cacc2ea0107578f
op_doi https://doi.org/10.1590/0037-8682-0782-2020
container_title Revista da Sociedade Brasileira de Medicina Tropical
container_volume 54
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