{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(1)"],"submitter":["Raymundo CE"],"pubmed_abstract":["The COVID-19 pandemic caused impact on public health worldwide. Brazil gained prominence during the pandemic due to the magnitude of disease. This study aimed to evaluate the spatial-temporal dynamics of incidence, mortality, and case fatality of COVID-19 and its associations with social determinants in Brazilian municipalities and epidemiological week. We modeled incidence, mortality, and case fatality rates using spatial-temporal Bayesian model. \"Bolsa Família Programme\" (BOLSAFAM) and \"proportional mortality ratio\" (PMR) were inversely associated with the standardized incidence ratio (SIR), while \"health insurance coverage\" (HEALTHINSUR) and \"Gini index\" were directly associated with the SIR. BOLSAFAM and PMR were inversely associated with the standardized mortality ratio (SMR) and stan"],"journal":["Scientific reports"],"pagination":["4139"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10009864"],"repository":["biostudies-literature"],"pubmed_title":["Spatial-temporal distribution of incidence, mortality, and case-fatality ratios of coronavirus disease 2019 and its social determinants in Brazilian municipalities."],"pmcid":["PMC10009864"],"pubmed_authors":["da Silva MG","Raymundo CE","de Araujo Eleuterio T","Andre SR","de Arruda Santos Junior EC","Oliveira MC","de Andrade Medronho R","Sousa AI"],"additional_accession":[]},"is_claimable":false,"name":"Spatial-temporal distribution of incidence, mortality, and case-fatality ratios of coronavirus disease 2019 and its social determinants in Brazilian municipalities.","description":"The COVID-19 pandemic caused impact on public health worldwide. Brazil gained prominence during the pandemic due to the magnitude of disease. This study aimed to evaluate the spatial-temporal dynamics of incidence, mortality, and case fatality of COVID-19 and its associations with social determinants in Brazilian municipalities and epidemiological week. We modeled incidence, mortality, and case fatality rates using spatial-temporal Bayesian model. \"Bolsa Família Programme\" (BOLSAFAM) and \"proportional mortality ratio\" (PMR) were inversely associated with the standardized incidence ratio (SIR), while \"health insurance coverage\" (HEALTHINSUR) and \"Gini index\" were directly associated with the SIR. BOLSAFAM and PMR were inversely associated with the standardized mortality ratio (SMR) and stan","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Mar","modification":"2026-06-05T06:48:09.864Z","creation":"2025-04-05T13:32:35.642Z"},"accession":"S-EPMC10009864","cross_references":{"pubmed":["36914858"],"doi":["10.1038/s41598-023-31046-4"]}}