COVID-19 morbidity and mortality in 2020: the case of the city of Rio de Janeiro

Rodrigues, Nádia Cristina Pinheiro; Andrade, Mônica Kramer de Noronha; Monteiro, Denise Leite Maia; Lino, Valéria Teresa Saraiva; Reis, Inês do Nascimento; Frossard, Vera Cecília; O’Dwyer, Gisele

doi:10.36416/1806-3756/e20200341

Cited by 3 publications

(5 citation statements)

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“…It is worth mentioning that geographic and socioeconomic inequality presents itself as a differential for a greater or lesser chance of surviving or dying from infection by the same virus. This evidence has been demonstrated by several other studies, which highlight a notable difference in access to health services, notably in the waiting time to meet healthcare demands and referral to more complex care [31][32][33][34][35][36][37] . Another equally relevant aspect is that social vulnerability also presents itself in the possibility of social distancing.…”

Section: Discussionsupporting

confidence: 60%

Space-time analysis of the first year of COVID-19 pandemic in the city of Rio de Janeiro, Brazil

Santos

Cavalcante

Pungartnik

et al. 2021

Rev. bras. epidemiol.

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Objective: To describe the space-time evolution of cases and deaths due to COVID-19 in the Rio de Janeiro municipality, Brazil, during the first year of the pandemic. Methods: An ecological study was carried out. The units of analysis were the neighborhoods of the city of Rio de Janeiro. Incidence and mortality rates, excess risk, Global Moran's Index (Moran's I), local indicator for spatial association, standardized incidence ratio, and standardized mortality ratio were estimated for neighborhoods in the municipality of Rio de Janeiro. Results: Over the first year of the pandemic, registries in the city of Rio de Janeiro included 204,888 cases and 19,017 deaths due to COVID-19. During the first three months of the pandemic, higher incidence rates were verified in the municipality compared with the state of Rio de Janeiro and Brazil, in addition to higher mortality rates compared with the state of Rio de Janeiro and Brazil from May 2020 to February 2021. Bonsucesso was the neighborhood with the highest incidence and mortality rates, and throughout the neighborhoods and months, there is no synchrony between the worst moments of the COVID-19 pandemic. Conclusion: The authors emphasize the need for implementing more rigid control and prevention measures, increasing case detection, and accelerating the COVID-19 immunization campaign.

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Section: Discussionsupporting

confidence: 60%

Space-time analysis of the first year of COVID-19 pandemic in the city of Rio de Janeiro, Brazil

Santos

Cavalcante

Pungartnik

et al. 2021

Rev. bras. epidemiol.

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“…The year 2022 did not follow this same pattern, with a higher concentration between January and February. An uncontrolled dissemination is observed, a behavior that was related to the pandemic response model 18 . And it can be justified by access to health care, socioeconomic and demographic conditions, and factors intrinsic to the population, such as age, lifestyle, comorbidities, among others 15 .…”

Section: Discussionmentioning

confidence: 94%

“…The first cases of COVID-19 started on March 6, 2020 and Rio de Janeiro was the second state in the country to report confirmed cases [18][19][20] . At the beginning of the pandemic, there was a variation in the number of cases and deaths per day in the state, as well as in the country.…”

Section: Discussionmentioning

confidence: 99%

“…In the most intensified moments of the pandemic, massive informal events outside health safety standards were reported. And additional inspection actions could have contributed for the established norms to be complied with 18 . It was in this context that the rapid growth and predominance of new Variants of Interest (VOIs) occurred, reaching its peak in April 2021, with high values of cases and deaths from March to June of the same year 33 .…”

Section: Discussionmentioning

confidence: 99%

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COVID-19 in Rio de Janeiro, Brazil: a perspective on epidemiological events

Lima Santos,

Cristina Morais,

Batista Francalino da Rocha

et al. 2023

jhgd

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Introduction: the progression of SARS-CoV-2 highlighted the Americas region for the number of COVID-19 cases and deaths. In Brazil, the Southeast region was one of the most affected, especially the state of Rio de Janeiro, due to its cosmopolitan characteristics. Objective: to analyze temporal variations in the incidence, mortality and lethality of COVID-19 in the state of Rio de Janeiro from January 2020 to December 2022. Methods: ecological time-series study with publicly available data on COVID-19 cases and deaths. Crude incidence, mortality, and fatality rates, and estimates of percent daily change (DPC) were analyzed using Prais-Winsten linear regression. With calculation of crude rates were performed using Microsoft Excel 2019, and DPC estimates were performed using STATA MP 17.0 software. Results: 2.5 million cases and 76 thousand COVID-19 deaths were confirmed in the state of Rio de Janeiro from 2020 to 2022, with lethality declining from 4.89% to 0.60%. The highest lethality occurred in May 2020 (11.59%), October 2021 (9.13%) and March 2022 (6.78%), showing a stationary trend. In 2020, incidence and mortality rates peaked in December (797.76 per 100,000 inhabitants) and May (43.96 per 100,000 inhabitants), respectively, followed by subsequent declines. Incidence trend was increasing in 2020 and stationary in 2022, while mortality decreased in 2021 and 2022 after stability in 2020. Conclusion: The incidence of COVID-19 peaked in 2020 and subsequently declined, suggesting partial transmission control. Mortality stabilized after 2020, indicating evolution in health care. Lethality showed a stationary trend, indicating an improvement in hospital capacity. The divergent behavior of the epidemiological indicators reflected the complex dynamics of the pandemic in the analyzed state. There were 790 thousand deaths from COVID-19 in the State of Rio de Janeiro in the period from 2020 to 2022.

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“…O que ocorreu devido ao desconhecimento do comportamento biológico do vírus à época, ao padrão de alta transmissibilidade da doença e à ausência de tratamento específico e/ou vacinas. 3 No Rio Grande do Norte, avaliações das curvas de sobrevivência por covid-19 no período de 165 dias de pandemia identificou que, ao fim do período de observação, a probabilidade de sobrevivência de indivíduos sem comorbidades foi de 99,4% e de 86,4% para os indivíduos com comorbidades. Ao analisarem a faixa etária, observou-se uma probabilidade de sobrevivência acumulada de 98,7% para pessoas com até 59 anos, e de 69,7% para as pessoas com 80 anos ou mais.…”

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Análise De Sobrevivência Da Covid-19 Em Um Estado Do Nordeste Brasileiro

Araújo¹,

Araújo²,

Rodrigues³

et al. 2023

Rev enferm UFPE online

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Objetivo: Analisar a sobrevivência de pacientes hospitalizados pela covid-19 no Piauí. Método: Os dados foram obtidos por meio do Sistema de Informação da Vigilância Epidemiológica da Gripe. Para a análise de sobrevida, utilizou-se o método de Kaplan-Meier, e a Regressão de Cox. Resultados: Mostrou-se um Risco Relativo (RR) de 2,021 para maiores de 60 anos (p<0,01), 1,545 para pessoas com comorbidades (p<0,01), e, para sexo, não foi apresentada significância estatística. As taxas de letalidade foram mais elevadas em homens (36,0%), pessoas de 60 anos ou mais de idade (46,3%) e portadores de comorbidades (41,0%) que foram internadas na Unidade de Terapia Intensiva (67,5%) e com uso de suporte ventilatório invasivo (86,8%). Conclusão: Observou-se excesso de mortalidade entre pacientes hospitalizados internados na UTI. Estratégias e linhas de cuidado específicas devem ser tomadas para identificar pessoas com maior risco no sistema de saúde e prevenir a evolução ao óbito.

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COVID-19 morbidity and mortality in 2020: the case of the city of Rio de Janeiro

Cited by 3 publications

References 5 publications

Space-time analysis of the first year of COVID-19 pandemic in the city of Rio de Janeiro, Brazil

Space-time analysis of the first year of COVID-19 pandemic in the city of Rio de Janeiro, Brazil

COVID-19 in Rio de Janeiro, Brazil: a perspective on epidemiological events

Análise De Sobrevivência Da Covid-19 Em Um Estado Do Nordeste Brasileiro

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