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

ABSTRACT 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 t...

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Bibliographic Details
Published in:Revista do Instituto de Medicina Tropical de São Paulo
Main Authors: Wendel Coura-Vital, Diogo Tavares Cardoso, Fabricio Thomaz de Oliveira Ker, Fernanda do Carmo Magalhães, Juliana Maria Trindade Bezerra, Ana Maria Viegas, Maria Helena Franco Morais, Leonardo Soares Bastos, Ilka Afonso Reis, Mariângela Carneiro, David Soeiro Barbosa
Format: Article in Journal/Newspaper
Language:English
Published: Universidade de São Paulo (USP) 2021
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Online Access:https://doi.org/10.1590/s1678-9946202163021
https://doaj.org/article/02c93a8680a74326b5238cf59ce1834e
Description
Summary:ABSTRACT 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.