Analysis of the spatial-temporal dynamics of incidence, mortality and test rates (rapid and RT-PCR) of COVID-19 in the state of Minas Gerais, Brazil
Keywords:Coronavirus Infections, Epidemiology, COVID-19, Immunologic Tests, Pandemics, Reverse Transcriptase Polymerase Chain Reaction
Introduction: A novel type of coronavirus, SARS-CoV-2, is responsible for an unprecedented pandemic with profound socioeconomic consequences. Owing to its recent discovery, the virus that emerged in the Chinese city of Wuhan in December 2019 still represents a great unknown to researchers. This study aims to establish the spatio-temporal associations of the incidence, mortality, and the rate of both rapid and RT-PCR tests in Minas Gerais. Methods: This is a quantitative analysis of secondary data based on a cross-sectional research design. Incidence, mortality, date of the first notification of COVID-19 and number of rapid and RT-PCR tests were obtained from the sources: Laboratory Environment Manager, e-SUS epidemiological surveillance platform and SES-MG. Pearson coefficient for correlation was calculated to establish the level of association between the relevant data. Descriptive statistical procedures were used to provide a comprehensive understanding of the distribution of incidence, mortality and test rates in the territory. Results: Positive correlations were found between the rate of rapid tests and incidence; rate of RT-PCR tests and incidence/mortality. At the municipal level, incidence, mortality, rate of rapid tests and RT-PCR revealed a negative correlation with days elapsed since the First Notified Case. The same effect occurs, at different intensities, at the level of health macro-regions. Discussion: The heterogeneity of the incidence and mortality of COVID-19 in the territory of Minas Gerais, as well as the rate of tests (rapid and RT-PCR) may be caused, in part, due to the different dates of introduction of the virus in the municipalities/macro-regions. It is speculated that this phenomenon occurs due to the dynamics of regional and inter-regional flows of people.
Copyright (c) 2020 Milton José da Silva-Júnior, Kaio Saramago Mendonça, Caio Augusto de Lima, Priscilla Larissa Silva Pires, Tatiany Calegari, Stefan Vilges de Oliveira
This work is licensed under a Creative Commons Attribution 4.0 International License.