Coronavirus Disease 2019 (COVID-19) and healthcare-associated infections: Emerging and future challenges for public health in Brazil

Ribas, Rosineide Marques; Campos, Paola Amaral de; Brito, Cristiane Silveira de; Gontijo-Filho, Paulo Pinto

doi:10.1016/j.tmaid.2020.101675

Cited by 19 publications

(15 citation statements)

References 5 publications

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“…The low socio-economic condition levels demonstrate not only the vulnerability of the population but also the difficulties health services face with respect to the diagnosis and treatment of the COVID-19. This is similar to the overall fragility expected from health services in Brazil [ 36 ] and Latin American countries facing the pandemic [ 37 ]. Living conditions may also be strongly influenced by low income in different ways, such as residence in poorer neighbourhoods and poorer housing conditions (particularly confined or overcrowded housing) [ 38 ].…”

Section: Discussionsupporting

confidence: 68%

Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions

Bermudi

Lorenz

Aguiar

et al. 2021

Travel Medicine and Infectious Disease

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Background Currently, Brazil is experiencing one of the fastest increasing coronavirus disease (COVID-19) mortality rates worldwide, with a minimum of 158,000 confirmed deaths presently. The city of São Paulo is particularly vulnerable because it is the most populated city in Brazil. Thus, this study aimed to analyse COVID-19 mortality in a spatiotemporal context in São Paulo, with respect to socio-economic levels. Method We modelled the deaths using spatiotemporal architectures and Poisson probability distributions using a latent Gaussian Bayesian model approach. Results Both total deaths and confirmed deaths showed similar spatial patterns. Mortality was higher in men and increased with age. The most critical period regarding mortality occurred between the 20 th and 23 rd epidemiological weeks, followed by an apparent stabilisation of the epidemiological trend. The risk of death was greater in areas with the worst social conditions during the study period. However, this pattern was not uniform over time, since we identified a shift of high risk from the areas with the best socio-economic conditions to those with the worst conditions. Conclusions Our study corroborated the relationship between COVID-19 mortality and socio-economic conditions, revealing the importance of geographic screening in the integration of better actions to face the pandemic.

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Section: Discussionsupporting

confidence: 68%

Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions

Bermudi

Lorenz

Aguiar

et al. 2021

Travel Medicine and Infectious Disease

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“…The low levels of HDI-M reveal that not only the vulnerability of the population, but also the difficulties in health services concerning diagnosis and treatment of the condition in the cities of Ceará, similarly to the overview of fragility expected from health services in Brazil 28 and in the countries of Latin America to face the pandemic 5 .…”

Section: Discussionmentioning

confidence: 97%

“…Despite the evolution of the Brazilian public health system, it is worth to mention that diseases that are neglected or associated to health care in low-income populations may emerge in a secondary manner, after Covid-19, and have an even darker impact on the healing prognosis 28 .…”

Section: Discussionmentioning

confidence: 99%

Análise inicial da correlação espacial entre a incidência de COVID-19 e o desenvolvimento humano nos municípios do estado do Ceará no Brasil

Maciel

Castro-Silva

Farias

2020

Rev. bras. epidemiol.

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RESUMO: Objetivo: Analisar a distribuição espacial da incidência de Covid-19 e sua correlação com o índice de desenvolvimento humano municipal (IDHM) dos municípios do Ceará. Métodos: Trata-se de um estudo ecológico com dados recuperados da 15ª e da 19ª semana epidemiológica do ano de 2020 utilizando como variáveis o IDHM e o coeficiente de incidência de Covid-19 para cada município. Foi analisada a correlação espacial uni e bivariada por meio dos softwares TerraView e GeoDa. Resultados: A incidência da Covid-19 possui dependência espacial com correlação positiva moderada e formação de clusters do tipo alto-alto localizados na região metropolitana de Fortaleza e municípios da região norte. As menores incidências foram cluster tipo baixo-baixo na região sul e na região oeste. Houve correlação bivariada positiva entre IDHM e incidência de Covid-19 com formação de cluster na região metropolitana de Fortaleza. Conclusão: O mapeamento desigual de Covid-19 e sua relação com IDHM no Ceará podem contribuir com ações de enfrentamento regional à pandemia.

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“…The low levels of IDHM reveal not only the population’s vulnerability, but also difficulties in health services regarding the diagnosis and treatment of the disease in the municipalities of Mato Grosso do Sul, similarly to the expected fragility of health services in Brazil (Ribas et al, 2019) (47) and in Latin American countries in tackling the pandemic (Rodrigues-Morales et al, 2020) (48). Given the great mobility of the population and the intense social and economic relations that the municipalities of the interior have with their respective capitals, the dissemination of Covid-19 should strongly affect the infrastructure in the interior.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

Souza

Abreu

Oliveira‐Júnior

2021

Preprint

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ObjetiveTo analyze the spatial distribution of the Covid-19 incidence and its correlation with the municipal human development index (IDHM) in the state of Mato Grosso do Sul (MS), Brazil.MethodsThis is an ecological, exploratory and analytical study whose units of analysis were the 79 municipalities that make up the state of MS. Covid-19 incidence coefficients, death numbers, lethality rate, mortality rate and Human Development Index for municipalities (IDHM) in the period from March 2020 to December 31, 2020 were used. spatial correlations between the variables mentioned above.ResultsThe incidence of Covid-19 has spatial dependence with moderate positive correlation and formation of clusters located in the Metropolitan Region of Campo Grande (RMCG) and municipalities in the region.ConclusionThe uneven mapping of Covid-19 and its relationship with IDHM in the Ministry of Health can contribute to actions to address the regional pandemic.

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Coronavirus Disease 2019 (COVID-19) and healthcare-associated infections: Emerging and future challenges for public health in Brazil

Cited by 19 publications

References 5 publications

Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions

Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions

Análise inicial da correlação espacial entre a incidência de COVID-19 e o desenvolvimento humano nos municípios do estado do Ceará no Brasil

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

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