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1.
Epidemiol Serv Saude ; 31(1): e2021495, 2022.
Article in English, Portuguese | MEDLINE | ID: covidwho-1910773

ABSTRACT

OBJECTIVE: To estimate the serological prevalence of SARS-CoV-2 infection among prison system workers in the state of Espírito Santo, Brazil, between August-September 2020. METHODS: This was a stratified sample survey, using interviews and serological tests for SARS-CoV-2. RESULTS: Among the 986 interviewers, the serological prevalence of SARS-CoV-2 infection was 11.9% (95%CI 8.1%;15.7%) in health professionals, and 22.1% (95%CI 18.8%;25.3%) in prison officers. Positivity was more frequent among health professionals in the north of the state (19.7%) and in male prison officers (24.0%). Among seropositive individuals, fatigue was the most frequent symptom in prison agents (13.4%) and myalgia in health professionals (10.8%); and the most prevalent comorbidities among the seropositive individuals were asthma or bronchitis (16.2%), in health professionals, and hypertension in prison officers (12.8%). CONCLUSION: The serological prevalence of SARS-Cov-2 infection was higher in prison officers, a finding that can support disease control and prevention actions in this scenario.


Subject(s)
COVID-19 , Brazil/epidemiology , COVID-19/epidemiology , Cross-Sectional Studies , Humans , Male , Prevalence , Prisons , SARS-CoV-2
2.
Epidemiol. serv. saúde ; 29(4):e2020413-e2020413, 2020.
Article in Portuguese | LILACS (Americas) | ID: grc-741548

ABSTRACT

Resumo Objetivo Analisar os fatores associados ao óbito em indivíduos internados por COVID-19 em hospitais do Espírito Santo, Brasil. Métodos Estudo transversal, com dados secundários. Modelos de regressão logística foram empregados para estimar razões de chance (odds ratio: OR) brutas e ajustadas. Resultados Até 14 de maio de 2020, 200 indivíduos receberam alta e 220 foram a óbito. Do total de pessoas estudadas, 57,1% eram do sexo masculino, 46,4% maiores de 60 anos de idade, 57,9% foram notificados por instituição privada e 61,7% apresentaram mais de 1 comorbidade. Na análise ajustada, a mortalidade hospitalar foi maior entre aqueles nas faixas etárias de 51 a 60 (OR=4,33 - IC95% 1,50;12,46) e mais de 60 anos (OR=11,84 - IC95% 4,31;32,54), notificados por instituição pública (OR=8,23 - IC95% 4,84;13,99) e com maior número de comorbidades (duas [OR=2,74 - IC95% 1,40;5,34] e três [OR=2,90 - IC95% 1,07;7,81]). Conclusão Observa-se maior mortalidade em idosos, com comorbidades e usuários de hospitais públicos. Resumen Objetivo Analizar los factores asociados con la mortalidad por COVID-19 en individuos ingresados en hospitales de Espírito Santo, Brasil. Métodos Estudio transversal. Los modelos de regresión logística estimaron una asociación de la mortalidad con características sociodemográficas, clínicas y de hospitalización. Resultados Hasta el 14 de mayo de 2020, 200 individuos fueron dados de alta y 220 murieron. Del número total de personas estudiadas, 57,1% eran hombres, 46,4% >60 años, 57,9% notificados por una institución privada y 61,7% tenía más de 1 comorbilidad. Con respecto a la mortalidad, fue mayor en los grupos de edad de 51 a 60 años (odds ratio, OR=4,33 - IC95% 1,50;12,46) y los mayores de 60 años (OR=11,84 - IC95% 4,31;32,54), notificados por institución pública (OR=8,23 - IC95% 4,84;13,99) y con más número de comorbilidades (dos [OR=2,74 - IC95% 1,40;5,34] y tres [OR=2,90 - IC95%: 1,07;7,81]). Conclusión El análisis apunta a mayor mortalidad en adultos mayores, con comorbilidades y usuarios de hospitales públicos. Objective To analyze factors associated with the deaths of individuals hospitalized with COVID-19 in the state of Espírito Santo, Brazil. Methods This was a cross-sectional study using secondary data. Logistic regression models were used to estimate crude and adjusted odds ratios (OR). Results As at May 14, 2020, 200 individuals had been discharged and 220 had died. Of the total number of people studied, 57.1% were male, 46.4% were >60 years old, 57.9% were cases notified by a private institution, and 61.7% had >1 comorbidity. In the adjusted analysis, hospital mortality was higher for the 51-60 age group (OR=4.33 - 95%CI 1.50;12.46), the over 60 age group (OR=11.84 - 95%CI 4.31;32.54), cases notified by public institutions (OR=8.23 - 95%CI 4.84;13.99) and cases with a greater number of comorbidities (two [OR=2.74 - 95%CI 1.40;5.34] and three [OR=2.90 - 95%CI 1.07;7.81]). Conclusion Higher mortality was found in older individuals, those with comorbidities and users of public hospitals.

3.
Epidemiol Serv Saude ; 29(4): e2020413, 2020.
Article in Portuguese, English | MEDLINE | ID: covidwho-890237

ABSTRACT

OBJECTIVE: To analyze factors associated with the deaths of individuals hospitalized with COVID-19 in the state of Espírito Santo, Brazil. METHODS: This was a cross-sectional study using secondary data. Logistic regression models were used to estimate crude and adjusted odds ratios (OR). RESULTS: As at May 14, 2020, 200 individuals had been discharged and 220 had died. Of the total number of people studied, 57.1% were male, 46.4% were >60 years old, 57.9% were cases notified by a private institution, and 61.7% had >1 comorbidity. In the adjusted analysis, hospital mortality was higher for the 51-60 age group (OR=4.33 - 95%CI 1.50;12.46), the over 60 age group (OR=11.84 - 95%CI 4.31;32.54), cases notified by public institutions (OR=8.23 - 95%CI 4.84;13.99) and cases with a greater number of comorbidities (two [OR=2.74 - 95%CI 1.40;5.34] and three [OR=2.90 - 95%CI 1.07;7.81]). CONCLUSION: Higher mortality was found in older individuals, those with comorbidities and users of public hospitals.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Hospital Mortality , Pneumonia, Viral/mortality , Adult , Age Distribution , Aged , Brazil/epidemiology , COVID-19 , Cause of Death , Comorbidity , Coronavirus Infections/epidemiology , Cross-Sectional Studies , Female , Hospitalization/statistics & numerical data , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Pandemics , Patient Discharge/statistics & numerical data , Pneumonia, Viral/epidemiology , SARS-CoV-2 , Sex Distribution , Young Adult
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