Indicadores sócio-demográficos e a epidemia de dengue em 2002 no Estado do Rio de Janeiro, Brasil

Teixeira, Tatiana Rodrigues de Araujo; Medronho, Roberto de Andrade

doi:10.1590/s0102-311x2008000900022

Cited by 36 publications

(40 citation statements)

References 17 publications

(22 reference statements)

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“…Various studies have attempted to identify risk areas in cities and their social and environmental determinants 22,23,24,25,26,27,42 , producing controversial results, that is, some indicating poor neighborhoods as risk areas for dengue, and others the opposite, with wealthier areas as the riskiest 24,43 . This disparity of results may be the consequence of the spatial-temporal dynamics of dengue epidemics themselves.…”

Section: Discussionmentioning

confidence: 99%

“…ibge.gov.br, accessed on 06/Apr/2015). The initial analyses were conducted using incidence rates by neighborhoods, but random fluctuation in the indicator was observed 26 , since some neighborhoods had very small populations. The use of an absolute number of cases attempted to avoid the problem of random fluctuation in the indicator and proved more appropriate for this study than the use of incidence rates with Bayesian smoothing, since the objective was not comparison of neighborhoods, but the evaluation of the evolution in the number of cases within a same spatial unit, the identification and magnitude of epidemics.…”

Section: Methodsmentioning

confidence: 99%

“…Several studies have analyzed the distribution of dengue risk in urban areas in Brazil 22,23,24,25 including in the city of Rio de Janeiro 26,27 , focusing on its association with socioeconomic and environmental factors. However, there is little research on the underlying processes of diffusion in this spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

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Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013

et al. 2017

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Resumo: A cidade do Rio de Janeiro, Brasil, apresenta elevado potencial de receptividade para a introdução, disseminação e persistência da transmissão de dengue. A ocupação do município conformou um mosaico heterogêneo e diversificado, com distribuição vetorial diferenciada entre e dentro dos bairros, proporcionando epidemias distintas nesta escala de observação. Este trabalho busca identificar essas epidemias e o padrão de difusão da transmissão do dengue sob a dimensão de tempo e espaço. Foi utilizado um modelo para a identificação de epidemias considerando os anos e meses de pico epidêmico, a distribuição espacial e a permanência das epidemias levando-se em conta o período de janeiro de 2000 a dezembro de 2013. Foram contabilizados 495 picos epidêmicos, e na escala de tempo evidenciou-se maior ocorrência nos meses de março, abril e fevereiro, respectivamente. Alguns bairros parecem apresentar um quadro persistente de incidência de dengue e o comportamento da difusão da doença permite identificar trajetórias e meses oportunos para a intervenção.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013

et al. 2017

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“…br) and the database of dengue cases recorded in the National System for Diseases of Notification (SINAN). These techniques allow raising hypotheses on possible risk factors for dengue, identifying demarcated areas at increased risk in order to allow timely intervention 40 . The spatial unit of analysis adopted in this study, the Municipal Health Center Coverage Area (ACCS), identifies areas with dengue risk that coincide with areas used in the organization of disease prevention and control measures and action by municipal health services.…”

Section: Discussionmentioning

confidence: 99%

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

Costa¹,

Donalísio²,

Silveira³

2013

Cad. Saúde Pública

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“…6,21,22 Examples are the Brazilian studies that have used different spatial analysis techniques based on individual and aggregated data to identify areas that present higher risk of dengue. 5,11,16,23,27 The present study aimed to analyze the dengue epidemic in relation to the socioeconomic context.…”

Section: Introductionmentioning

confidence: 99%

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

2009

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OBJECTIVE:To analyze the dengue epidemic in relation to the socioeconomic context according to geographical areas. METHODS:An ecological study was conducted in the municipality of Rio de Janeiro (Southeastern Brazil), in areas delimited as neighborhoods, based on information about notifi ed dengue cases concerning residents in the municipality. The average incidence rate of dengue was calculated between the epidemiological weeks: 48 th of 2001 and 20 th of 2002. The occurrence of dengue was correlated with socioeconomic variables through Pearsons' correlation coeffi cient. Moran's global and local indexes were used to assess the spatial auto-correlation between dengue and the variables that signifi cantly correlated with the disease. The multiple linear regression model and the conditional auto-regression spatial model were used to analyze the relationship between dengue and socioeconomic context. RESULTS:The neighborhoods located in the west zone of the municipality presented high rates of average dengue incidence. The variables presenting signifi cant correlation were: percentage of households connected with the general sanitary network, households with washing machines, and population density per urban area. Moran's spatial auto-correlation index revealed spatial dependence between dengue and the selected variables. The utilized models indicated percentage of households connected with the general sanitary network as the sole variable signifi cantly associated with the disease. The residual fi gures in both models revealed signifi cant spatial auto-correlation, with a positive Moran Index (p<0.001) for linear regression model, and a negative one (p=0.005) for the conditional auto-regression one. CONCLUSIONS:Problems related to basic sanitation contribute decisively to increase the risk of the disease.

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Indicadores sócio-demográficos e a epidemia de dengue em 2002 no Estado do Rio de Janeiro, Brasil

Cited by 36 publications

References 17 publications

Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013

Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

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