One year of COVID-19 pandemic: Epidemiological characteristics of COVID-19 in the city of Uberaba, Minas Gerais, Brazil

Authors

  • Michelli Maldonado Departamento de Matemática, Instituto de Ciências Exatas, Naturais e Educação, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil Author https://orcid.org/0000-0002-8822-5508
  • Ronaldo Junio de Oliveira Laboratório de Biofísica Teórica, Departamento de Física, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil Author https://orcid.org/0000-0003-4860-309X
  • Mariangela Torreglosa Ruiz Cintra Departamento de Ciências Biológicas, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil Author https://orcid.org/0000-0002-8223-805X

DOI:

https://doi.org/10.22239/2317-269x.01938

Keywords:

COVID-19, Epidemiological characteristics, Surveillance, Statistical Analysis, Coronavirus, Public Health

Abstract

Introduction: The new coronavirus pandemic (COVID-19) is unprecedented in recorded human history. It spread from Wuhan, China, in early December, 2019, crossing the entire planet and reaching Brazilian shores in the following February. It was declared a pandemic on March 11, 2020, with the first case  recorded in the city of Uberaba, state of Minas Gerais, Brazil, on March 18, 2020. Since then, we have been collecting data and assessing the evolution of this fatal disease. Objective: In this work, we report the epidemiological characteristics of one year of the COVID-19 in Uberaba, and discuss its implications to the general public. Method: This is an observational, descriptive, documentary and retrospective study to describe the epidemiological profile of COVID-19 cases in the city of Uberaba from March 18, 2020 to March 17, 2021. Results: The study shows that the young-working age population are those who most spread the virus; however, the elderly are those who suffer and die the most, with slight differences regarding sex. This is in line with the reported national and international epidemiological profiles that show a shifting tendency of younger generations to be increasingly active on the evolution of the pandemic. We observed two major peaks on the two epidemiological time-series, confirmed cases and deaths, with an average age of 41 years old for the confirmed cases and 68 for the confirmed deaths. It was also reported that the lethality rate was 2.45%, and 80.00% of the confirmed deaths suffered from some previous health condition. Conclusions: In this sense, a permanent epidemiological surveillance has to take place in order to guide public health counter-measurements. The epidemiological characteristics of COVID-19 in Uberaba and related analyses are reported in the online observatory at https://coviduberaba.github.io.

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Author Biographies

  • Michelli Maldonado, Departamento de Matemática, Instituto de Ciências Exatas, Naturais e Educação, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil

    Possui graduação em Bacharelado em Matemática Aplicada pela Universidade Estadual Paulista Júlio de Mesquita Filho (2008), mestrado em Matemática pela Universidade Estadual Paulista Júlio de Mesquita Filho (2011) e doutorado em Matemática pela Universidade Estadual Paulista Júlio de Mesquita Filho (2015). Atualmente é professora adjunta na Universidade Federal do Triângulo Mineiro. Tem experiência na área de Pesquisa Operacional, otimização combinatória, linear e inteira

  • Ronaldo Junio de Oliveira, Laboratório de Biofísica Teórica, Departamento de Física, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil

    Possui graduação em Física (Licenciatura) pela Universidade Estadual de Campinas (2004), mestrado (2007) e doutorado (2011) em Biofísica Molecular pela Universidade Estadual Paulista, com período sanduíche em State University of New York at Stony Brook. O Pós-Doutorado (2011-2013) foi realizado pelo Laboratório Nacional de Biorrenováveis (CTBE) do Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), em Campinas. Atualmente é professor adjunto do Departamento de Física da Universidade Federal do Triângulo Mineiro. Tem experiência na área de Biofísica Molecular, atuando principalmente nos seguintes temas: energy landscape, simulação computacional, enovelamento de proteína e docking molecular.

  • Mariangela Torreglosa Ruiz Cintra, Departamento de Ciências Biológicas, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil

    Possui graduação em Licenciatura Em Ciências Biológicas pela Universidade Estadual Paulista Júlio de Mesquita Filho (1998) e mestrado em Genética pela Universidade Estadual Paulista Júlio de Mesquita Filho (2001) e doutorado em Ciências da Saúde da Faculdade de Medicina de São José do Rio Preto (2008). Tem experiência na área de Genética, com ênfase em Genética Humana atuando principalmente nos seguintes temas: câncer de cabeça e pescoço, síndrome do ovário policístico, câncer colorretal, carcinoma hepatocelular, polimorfismos de nucleotídeos únicos (SNPs), biomarcadores em doenças humanas. Atualmente é Professor Associado II da Universidade Federal do Triângulo Mineiro, no curso de Licenciatura em Ciências Biológicas para as disciplinas de Genética e Biologia Molecular. Orientadora no Programa de Mestrado Profissional em Inovação Tecnológica UFTM e Coordenadora do Departamento de Ciências Biológicas - ICENE.

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Published

2022-05-31

Issue

Vol. 10 No. 2 (2022): May

Section

Articles

License

Copyright (c) 2022 Health Surveillance under Debate: Society, Science & Technology (Vigilância Sanitária em Debate: Sociedade, Ciência & Tecnología) – “Visa em Debate”

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How to Cite

One year of COVID-19 pandemic: Epidemiological characteristics of COVID-19 in the city of Uberaba, Minas Gerais, Brazil. (2022). Health Surveillance under Debate: Society, Science & Technology , 10(2), 23-32. https://doi.org/10.22239/2317-269x.01938