Análise Espacial dos Casos de COVID-19 e leitos de terapia intensiva no estado do Ceará, Brasil

Pedrosa, Nathália Lima; Albuquerque, Nila Larisse Silva de

doi:10.1590/1413-81232020256.1.10952020

Cited by 41 publications

(28 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Evidence also exists of regional inequities in access to healthcare [ 24 – 30 ]. Space and place have increasingly been used to analyze and understand health decisions and outcomes [ 31 , 32 ]; this relationship has already proven to be important for the new COVID-19 disease [ 33 – 38 ]. Understanding the context of an unequal and segregated city as it relates to infection and death patterns can inform public, health-worker, and policymaker support for prevention and community-tailored interventions.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors

et al. 2021

View full text Add to dashboard Cite

Demographic, health, and socioeconomic factors significantly inform COVID-19 outcomes. This article analyzes the association of these factors and outcomes in Chile during the first five months of the pandemic. Using the municipalities Metropolitan Region’s municipalities as the unit of analysis, the study looks at the role of time dynamics, space, and place in cases and deaths over a 100-day period between March and July 2020. As a result, common and idiosyncratic elements explain the prevalence and dynamics of infections and mortality. Social determinants of health, particularly multidimensional poverty index and use of public transportation play an important role in explaining differences in outcomes. The article contributes to the understanding of the determinants of COVID-19 highlighting the need to consider time-space dynamics and social determinants as key in the analysis. Structural factors are important to identify at-risk populations and to select policy strategies to prevent and mitigate the effects of COVID-19. The results are especially relevant for similar research in unequal settings.

show abstract

Section: Introductionmentioning

confidence: 99%

COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Importantly, population density and SSR RT-qPCR positivity were directly correlated with spatial death occurrence along the city over the whole analyzed period (17 th and 38 th epidemiologic week), thus, authorities should focus on containing the spread of the disease mainly at these speci c locations. Previous analysis at two states of Brazil, Ceará and São Paulo, also provided evidence that metropolitan highly populated areas showed the greatest number of COVID-19 cases [34,35]. Spread of the virus can be highly associated with the mobility of people by means of transportation, such as planes and buses [35].…”

Section: Discussionmentioning

confidence: 99%

COVID-19 in the Brazilian Oil Capital: the successful experience of public and private engagement

Feitosa

Rodrigues

Petry

et al. 2021

Preprint

View full text Add to dashboard Cite

Background Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. Methods Until the 38th epidemiological week, over two percent of the 206,728 citizens were subjected to symptom analysis and massive RT-qPCR testing by the Federal University of Rio de Janeiro, with positive individuals being notified up to 48 hours after swab collection. Geocodification and spatial cluster analysis were used to limit COVID-19 spreading in Macaé. Findings: Within the first semester after the outbreak of COVID-19 in Brazil, Macaé recorded 1.8% of fatality associated to COVID-19 up to the 38th epidemiological week, which was at least five times lower than the state capital (10.92%). Overall, considering the successful experience of this joint effort of private and public engagement in Macaé, our data suggest that the development of a similar strategy country wise would have saved over 50,000 lives. Interpretation: Quarantine decree by the local government, molecular massive testing coupled to scientific analysis of COVID-19 spreading prevented the catastrophic consequences of the pandemic as seen in other populous cities within the state of Rio de Janeiro and elsewhere in Brazil.

show abstract

“…Apesar dos avanços para otimizar a assistência, o país mantém índices elevados de desigualdades na distribuição de leitos hospitalares, em especial os de terapia intensiva (Viacava et al, 2018). A condição socioeconômica da população determina impactos quanto a disponibilidades dos serviços, haja vista que a oferta de leitos é cinco vezes maior entre usuários da rede privada, se comparado aos usuários do Sistema Único de Saúde (Pedrosa & Albuquerque, 2020). Regiões com expressivas desigualdades socioeconômicas exibem maior quantitativo de pessoas com patologias e agravos (Barreto, 2017), a exemplo das doenças crônicas que são fatores de risco para a infecção por SARS-CoV2, demonstrando que os estados brasileiros apresentam estruturas públicas deficitárias frente ao gerenciamento do cuidado em saúde (Bezerra et al, 2020).…”

Section: Todos Os Estados Brasileirosunclassified

Indicadores sociodemográficos na pandemia da covid-19 por meio da distribuição espacial no Brasil: Revisão integrativa

Barbalho

Gomes

Pereira

et al. 2021

RSD

View full text Add to dashboard Cite

Analisar a distribuição espacial dos indicadores sociodemográficos com a pandemia da Covid-19, por meio de uma revisão integrativa. Realizou-se uma revisão integrativa da literatura, nas bibliotecas eletrônicas Pubmed, Web of Science, Medline e Lilacs, em novembro e dezembro de 2020, utilizando descritores indexados no DECS/MeSH. Constituiu a questão norteadora do estudo: “Como os indicadores sociais brasileiros evoluíram mediante a pandemia da Covid-19?”. Foram inclusos estudos originais, publicados em 2020, disponíveis na íntegra, nos idiomas português e inglês. Os resultados foram apresentados em um quadro sinóptico com as principais informações de cada estudo. As fontes de publicação englobaram periódicos distintos. Identificou-se 12 estudos ecológicos e dois exploratórios-quantitativos. Quanto ao local de realização, cinco pesquisaram dados de todos os estados brasileiros, sete dos estados do Nordeste e três do Sudeste. O comportamento geográfico dos indicadores com a pandemia no Brasil, relacionaram-se com o padrão de disseminação da doença, a mobilidade urbana e a densidade populacional. Através da análise espacial, observou-se que os estados apresentaram vulnerabilidades e comportamento heterogêneo dos indicadores sociodemográficos, que contribuiu para elevada transmissibilidade do vírus, agravamento dos casos e dificuldade para adotar as medidas de isolamento social.

show abstract

Análise Espacial dos Casos de COVID-19 e leitos de terapia intensiva no estado do Ceará, Brasil

Cited by 41 publications

References 11 publications

COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors

COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors

COVID-19 in the Brazilian Oil Capital: the successful experience of public and private engagement

Indicadores sociodemográficos na pandemia da covid-19 por meio da distribuição espacial no Brasil: Revisão integrativa

Contact Info

Product

Resources

About