Space-time risk clusters of Covid-19 in a tourism area in the northeastern Brazil: an epidemiological overview after two years of pandemic

dc.creatorPereira Bezerra, Letícia
dc.creatorSantos Ramos, Rosália Elen
dc.creatorda Silva Nascimento, Joyce
dc.creatorOliveira Silva, Laryssa
dc.creatorSilva da Paz, Wandklebson
dc.creatorMárzia Lopes Costa, Loane
dc.creatorGomes de Amorim Santos, Israel
dc.creatorBezerra Santos, Márcio
dc.creatorConceição Gomes Machado de Araújo, Karina
dc.date2023-03-24
dc.date.accessioned2023-09-29T11:49:42Z
dc.date.available2023-09-29T11:49:42Z
dc.identifierhttps://revistas.ufg.br/iptsp/article/view/73977
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9095949
dc.descriptionThe world is facing a serious viral infection caused by the new Severe Acute Respiratory Syndrome Coronavirus 2. We aimed to evaluate and map the high-risk clusters of COVID-19 in the State of Alagoas, a touristic area in northeastern Brazil, after two years of pandemic by a population-based ecological study, using COVID-19 cases reported in the State of Alagoas, between March, 2020 and April, 2022. We performed a descriptive and statistical analysis of epidemiological data. We then map high-risk areas for COVID-19, using spatial analysis, considering the incidence rate by municipality. 297,972 positive cases were registered; 56.9% were female and 42.7% aged between 20 and 39 years old. Men (OR = 1.59) and older than 60 years old (OR = 29.64) had a higher risk of death, while the highest incidence rates of the disease occurred in the metropolitan region. Our data demonstrate the impact of COVID-19 in the State of Alagoas, through the two years of pandemic. Although the number of cases were greater among women and young adults, the chance of death was greater among men and older adults. High-risk clusters of the disease initially occur in metropolitan cities and tourist areas. KEY WORDS: SARS-CoV-2; COVID-19; spatial analysis; Brazil.en-US
dc.descriptionThe world is facing a serious viral infection caused by the new Severe Acute Respiratory Syndrome Coronavirus 2. We aimed to evaluate and map the high-risk clusters of COVID-19 in the State of Alagoas, a touristic area in northeastern Brazil, after two years of pandemic by a population-based ecological study, using COVID-19 cases reported in the State of Alagoas, between March, 2020 and April, 2022. We performed a descriptive and statistical analysis of epidemiological data. We then map high-risk areas for COVID-19, using spatial analysis, considering the incidence rate by municipality. 297,972 positive cases were registered; 56.9% were female and 42.7% aged between 20 and 39 years old. Men (OR = 1.59) and older than 60 years old (OR = 29.64) had a higher risk of death, while the highest incidence rates of the disease occurred in the metropolitan region. Our data demonstrate the impact of COVID-19 in the State of Alagoas, through the two years of pandemic. Although the number of cases were greater among women and young adults, the chance of death was greater among men and older adults. High-risk clusters of the disease initially occur in metropolitan cities and tourist areas. KEY WORDS: SARS-CoV-2; COVID-19; spatial analysis; Brazil.pt-BR
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidade Federal de Goiáspt-BR
dc.relationhttps://revistas.ufg.br/iptsp/article/view/73977/39689
dc.rightsCopyright (c) 2023 Revista de Patologia Tropical / Journal of Tropical Pathologypt-BR
dc.sourceRevista de Patologia Tropical / Journal of Tropical Pathology; Vol. 52 No. 1 (2023); 11-24en-US
dc.sourceRevista de Patologia Tropical / Journal of Tropical Pathology; v. 52 n. 1 (2023); 11-24pt-BR
dc.source1980-8178
dc.source0301-0406
dc.titleSpace-time risk clusters of Covid-19 in a tourism area in the northeastern Brazil: an epidemiological overview after two years of pandemicen-US
dc.titleSpace-time risk clusters of Covid-19 in a tourism area in the northeastern Brazil: an epidemiological overview after two years of pandemicpt-BR
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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