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Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process

COVID-19 is an infectious disease caused by the recently discovered coronavirus SARS-Cov-2. The disease became pandemic affecting many countries globally, including Brazil. Considering the expansion process and particularities during the initial stages of the epidemic, we aimed to analyze the spatia...

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Autores principales: Coura-Vital, Wendel, Cardoso, Diogo Tavares, Ker, Fabricio Thomaz de Oliveira, Magalhães, Fernanda do Carmo, Bezerra, Juliana Maria Trindade, Viegas, Ana Maria, Morais, Maria Helena Franco, Bastos, Leonardo Soares, Reis, Ilka Afonso, Carneiro, Mariângela, Barbosa, David Soeiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto de Medicina Tropical 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997666/
https://www.ncbi.nlm.nih.gov/pubmed/33787741
http://dx.doi.org/10.1590/S1678-9946202163021
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author Coura-Vital, Wendel
Cardoso, Diogo Tavares
Ker, Fabricio Thomaz de Oliveira
Magalhães, Fernanda do Carmo
Bezerra, Juliana Maria Trindade
Viegas, Ana Maria
Morais, Maria Helena Franco
Bastos, Leonardo Soares
Reis, Ilka Afonso
Carneiro, Mariângela
Barbosa, David Soeiro
author_facet Coura-Vital, Wendel
Cardoso, Diogo Tavares
Ker, Fabricio Thomaz de Oliveira
Magalhães, Fernanda do Carmo
Bezerra, Juliana Maria Trindade
Viegas, Ana Maria
Morais, Maria Helena Franco
Bastos, Leonardo Soares
Reis, Ilka Afonso
Carneiro, Mariângela
Barbosa, David Soeiro
author_sort Coura-Vital, Wendel
collection PubMed
description COVID-19 is an infectious disease caused by the recently discovered coronavirus SARS-Cov-2. The disease became pandemic affecting many countries globally, including Brazil. Considering the expansion process and particularities during the initial stages of the epidemic, we aimed to analyze the spatial and spatiotemporal patterns of COVID-19 occurrence and to identify priority risk areas in Minas Gerais State, Southeast Brazil. An ecological study was performed considering all data from human cases of COVID-19 confirmed from the epidemiological week (EW) 11 (March 08, 2020) to EW 26 (June 27, 2020). Crude and smoothed incidence rates were used to analyze the distribution of disease patterns based on global and local indicators of spatial association and space-time risk assessment. Positive spatial autocorrelation and spatial dependence were found. Our results suggest that the metropolitan region of the State capital Belo Horizonte (MRBH) and Vale do Rio Doce mesoregions, as major epidemic foci in the beginning of the expansion process, have had important influence on the dispersion of SARS-CoV-2 in Minas Gerais State. Triangulo Mineiro/Alto Paranaiba region presented the highest risk of infection. In addition, six statistically significant spatiotemporal clusters were identified in the State, three at high risk and three at low risk. Our findings contribute to a greater understanding of the space-time disease dynamic and discuss strategies for identification of priority areas for COVID-19 surveillance and control.
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spelling pubmed-79976662021-04-06 Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process Coura-Vital, Wendel Cardoso, Diogo Tavares Ker, Fabricio Thomaz de Oliveira Magalhães, Fernanda do Carmo Bezerra, Juliana Maria Trindade Viegas, Ana Maria Morais, Maria Helena Franco Bastos, Leonardo Soares Reis, Ilka Afonso Carneiro, Mariângela Barbosa, David Soeiro Rev Inst Med Trop Sao Paulo Original Article COVID-19 is an infectious disease caused by the recently discovered coronavirus SARS-Cov-2. The disease became pandemic affecting many countries globally, including Brazil. Considering the expansion process and particularities during the initial stages of the epidemic, we aimed to analyze the spatial and spatiotemporal patterns of COVID-19 occurrence and to identify priority risk areas in Minas Gerais State, Southeast Brazil. An ecological study was performed considering all data from human cases of COVID-19 confirmed from the epidemiological week (EW) 11 (March 08, 2020) to EW 26 (June 27, 2020). Crude and smoothed incidence rates were used to analyze the distribution of disease patterns based on global and local indicators of spatial association and space-time risk assessment. Positive spatial autocorrelation and spatial dependence were found. Our results suggest that the metropolitan region of the State capital Belo Horizonte (MRBH) and Vale do Rio Doce mesoregions, as major epidemic foci in the beginning of the expansion process, have had important influence on the dispersion of SARS-CoV-2 in Minas Gerais State. Triangulo Mineiro/Alto Paranaiba region presented the highest risk of infection. In addition, six statistically significant spatiotemporal clusters were identified in the State, three at high risk and three at low risk. Our findings contribute to a greater understanding of the space-time disease dynamic and discuss strategies for identification of priority areas for COVID-19 surveillance and control. Instituto de Medicina Tropical 2021-03-24 /pmc/articles/PMC7997666/ /pubmed/33787741 http://dx.doi.org/10.1590/S1678-9946202163021 Text en https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Coura-Vital, Wendel
Cardoso, Diogo Tavares
Ker, Fabricio Thomaz de Oliveira
Magalhães, Fernanda do Carmo
Bezerra, Juliana Maria Trindade
Viegas, Ana Maria
Morais, Maria Helena Franco
Bastos, Leonardo Soares
Reis, Ilka Afonso
Carneiro, Mariângela
Barbosa, David Soeiro
Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title_full Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title_fullStr Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title_full_unstemmed Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title_short Spatiotemporal dynamics and risk estimates of COVID-19 epidemic in Minas Gerais State: analysis of an expanding process
title_sort spatiotemporal dynamics and risk estimates of covid-19 epidemic in minas gerais state: analysis of an expanding process
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997666/
https://www.ncbi.nlm.nih.gov/pubmed/33787741
http://dx.doi.org/10.1590/S1678-9946202163021
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