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1.
Rev Bras Epidemiol ; 26: e230026, 2023.
Article in English, Portuguese | MEDLINE | ID: covidwho-2319329

ABSTRACT

OBJECTIVE: To analyze the use of ivermectin as COVID-19 prevention method by the population of Mato Grosso in 2020. METHODS: This is a home-based survey, carried out between September and October 2020, in 10 pole cities of the socioeconomic regions of State. The use of ivermectin was evaluated through the question: "Did you take ivermectin to prevent COVID-19?". Sociodemographic variables (sex, age group, education, family income), current work situation, being benefitted by government financial programs, as well as symptoms, seroprevalence of antibodies against SARS-CoV-2, and previous diagnosis of COVID-19 were evaluated. Prevalence and their associations were estimated using the chi-square test. RESULTS: 4.206 individuals were evaluated for prevalence of ivermectin use; 58.3% of the individuals responded positively, this rate being higher in the municipalities of the western region of the state (66.6%). There was no significant difference between sexes, but the prevalence was higher among people aged 50-59 years (69.7%), who were white (66.5%), with complete higher education or more (68.8%) and higher family income (≥3 minimum wages-64.2%). The use of this drug was even higher among participants who considered their knowledge of the disease good or very good (65.0%), who reported having symptoms of COVID-19 (75.3%), and who had been previously diagnosed with the disease (91.2%). CONCLUSION: There was a high prevalence of use of ivermectin as a method to prevent covid-19 by the population of Mato Grosso, indicating the need for strategies to inform the population about the risks of off-label use of drugs and to combat the advertising of drugs that are ineffective against COVID-19.


Subject(s)
COVID-19 , Humans , Brazil/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Cross-Sectional Studies , Ivermectin/therapeutic use , Pandemics , Prevalence , SARS-CoV-2 , Seroepidemiologic Studies
2.
Cien Saude Colet ; 28(2): 331-336, 2023 Feb.
Article in Portuguese, English | MEDLINE | ID: covidwho-2233580

ABSTRACT

This paper aims to assess the magnitude and profile of deaths from post-COVID conditions in Brazil. Descriptive study based on preliminary data from the 2021 Mortality Information System. Records with ICD code B94.8 as the Basic Cause and with code U09 in some lines of part I or II of the declaration were considered for analysis. The distribution of deaths by geographic region, semester of occurrence, sex, age group, ethnicity/skin color, schooling, and place of occurrence was evaluated. We identified 2,948 deaths from conditions subsequent to COVID-19 were recorded, ranging from 0.5 deaths per 1,000 records in the Northeast Region to 3.6/1,000 in the Midwest Region. More than half occurred among males (58.0%), those aged 60 years or older (66.9%), and whites (51.8%). Conclusion: Deaths from post-COVID conditions had distinct sociodemographic characteristics between regions.


O objetivo deste artigo é avaliar a magnitude e o perfil dos óbitos por condições posteriores à COVID-19 no Brasil. Estudo descritivo com base nos dados preliminares de registro de óbitos do Sistema de Informação sobre Mortalidade ocorridos em 2021. Foram considerados os registros com código CID B94.8 como causa básica e com código U09 em alguma linha da parte I ou II da declaração de óbito. Foi avaliada a distribuição dos óbitos por região geográfica, semestre de ocorrência, sexo, faixa etária, raça/cor, escolaridade e local de ocorrência. Foram registrados 2.948 óbitos por condições posteriores à COVID-19, variando de 0,5 óbito por 1.000 registros na região Nordeste a 3,6/1.000 na região Centro-Oeste. Mais da metade ocorreu entre o sexo masculino (58,0%), aqueles com 60 anos ou mais de idade (66,9%) e de cor da pele branca (51,8%). Os óbitos por condições posteriores à COVID-19 apresentaram características sociodemográficas distintas entre as regiões.


Subject(s)
COVID-19 , Post-Acute COVID-19 Syndrome , Male , Humans , Brazil/epidemiology , Educational Status , Ethnicity
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