Covid-19 among the Brazilian Amazon indigenous people

Factors Associated With Death

Bibliographic Data

ID3067069
AuthorsArthur Arantes Da Cunha (0000-0002-9975-0498, Universidade Federal do Amapá), Maira Tiyomi Sacata Tongu Nazima (0000-0002-7858-3045, Universidade Federal do Amapá), Emerson Augusto Castilho-Martins (0000-0003-0542-4294, Universidade Federal do Amapá)
Year2022
Volume31
Issue2
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSaúde e Sociedade (JOURNAL)
Journal identifiersISSN: 0104-1290 • E-ISSN: 1984-0470
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0104-12902022210368en
OpenAlexW4285293782
LanguageEN
Citations received4
References cited21

This case-control study paired by gender and age analyzes factors associated with the death of indigenous people from COVID-19 in the state of Amapá, Brazil. Data were collected from a public secondary database produced by the Amapá State Department of Health. Cases (n=29) were deaths of indigenous people from COVID-19 and controls were cures of the disease (n=87), recorded between April 2020 and January 2021. Data from individuals with active disease were excluded. Univariate analysis followed by multiple logistic regression were performed to study the independent variables associated with death. Most cases of death were women (51.7%), without comorbidities (62.1%), residing in cities of the Metropolitan Region of Macapá (RMM) (65.5%) and in urban areas (89.7%). Median age of the death group was 72 years (interquartile range=21.5). The final multiple model showed that indigenous individuals with cardiovascular comorbidity had a 4.01 times greater chance (95% confidence interval - 95% CI=1.05-15.36) of death by COVID-19 when compared with indigenous people without comorbidities. And that indigenous people residing in the RMM had a 2.90 times greater chance (95%CI = 1.10-7.67) of death when compared with indigenous residing in the countryside

Amazon rainforest · Biology · Cause of death · Comorbidity · Confidence interval · Coronavirus disease 2019 (COVID-19) · Disease · Indigenous · Infectious disease (medical specialty) · Interquartile range · Logistic regression · Metropolitan area · Multivariate analysis · Pathology · Public health · Univariate analysis · Child Nutrition and Water Access · Demography · Indigenous Health and Education · Internal Medicine · Maternal and Neonatal Healthcare · Medicine · Gerontology

Tools

Open DOIOpen Access