COVID-19 in the Eastern Brazilian Amazon: Incidence, Clinical Management, and Mortality by Social Determinants of Health, Symptomatology, and Comorbidities in the Xingu Health Region
-
Published:2023-03-06
Issue:5
Volume:20
Page:4639
-
ISSN:1660-4601
-
Container-title:International Journal of Environmental Research and Public Health
-
language:en
-
Short-container-title:IJERPH
Author:
Figueiredo Eric Renato Lima1ORCID, Affonso Márcio Vinicius de Gouveia1, Jacomel Rodrigo Januario1, Gomes Fabiana de Campos2, Gonçalves Nelson Veiga3, Miranda Claudia do Socorro Carvalho3, Silva Márcia Cristina Freitas da4, da Silva-Júnior Ademir Ferreira4, Melo-Neto João Simão de1ORCID
Affiliation:
1. Institute of Health Sciences, Federal University of Pará (UFPA), Belem 66075-110, Brazil 2. Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, Brazil 3. Laboratory of Epidemiology and Geoprocessing of Amazon, University of the state of Pará (UEPA), Belem 66050-540, Brazil 4. Faculty of Medicine, Federal University of Pará, Altamira 68370-000, Brazil
Abstract
This study aims to investigate the relationship between social determinants of health (SDH), incidence, and mortality to verify which sociodemographic factors, symptoms, and comorbidities predict clinical management; second, this study aims to conduct a survival analysis of individuals with COVID-19 in the Xingu Health Region. Consequently, this study adopted an ecological framework, employing secondary data of COVID-19-positive individuals from the Xingu Health Region, Pará State, Brazil. The data were obtained through the database of the State of Pará Public Health Secretary (SESPA) for the period from March 2020 to March 2021. The incidence and mortality were higher in Vitória do Xingu and Altamira. Municipalities with a higher percentage of citizens with health insurance and higher public health expenditure showed a higher incidence and mortality. A higher gross domestic product was associated with a higher incidence. Females were found to be associated with better clinical management. To live in Altamira was a risk factor for intensive care unit admission. The symptoms and comorbidities that predicted worse clinical management were dyspnea, fever, emesis, chills, diabetes, cardiac and renal diseases, obesity, and neurological diseases. There were higher incidence, mortality, and lower survival rates among the elderly. Thus, it can be concluded that SDH indicators, symptomatology, and comorbidities have implications for the incidence, mortality, and clinical management of COVID-19 in the Xingu Health Region of eastern Amazonia, Brazil.
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference72 articles.
1. (2022, November 28). Wuhan Municipal Health Commission Report of Clustering Pneumonia of Unknown Etiology in Wuhan City, Available online: http://wjw.wuhan.gov.cn/front/web/showDetail/2019123108989. 2. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China;Wang;JAMA,2020 3. (2022, November 28). New-Type Coronavirus Causes Pneumonia in Wuhan: Expert. Available online: http://www.xinhuanet.com/english/2020-01/09/c_138690570.htm. 4. SARS-CoV-2 Pandemic: An Overview;Martellucci;Adv. Biol. Regul.,2020 5. World Health Organization (2022, November 28). Coronavirus Disease 2019 (COVID-19): Situation Report, 191. Available online: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200729-covid-19-sitrep-191.pdf?%20sfvrsn=2c327e9e2.
|
|