2015
DOI: 10.1186/s12889-015-2097-3
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Abstract: BackgroundWe identified dengue transmission areas by using the Geographic Information Systems located at local surveillance units of the Itaboraí municipality in state of Rio de Janeiro. We considered the association among the house infestation index, the disease incidence, and sociodemographic indicators during a prominent dengue outbreak in 2007 and 2008.MethodsIn this ecological study, the Local Surveillance Units (UVLs) of the municipality were used as spatial pattern units. For the house analysis, we used… Show more

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Cited by 29 publications
(43 citation statements)
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References 28 publications
(34 reference statements)
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“…Although the circulation of DENV-2 was detected in April, the majority of cases occurred from July to September. Similar to Vargas et al 43 , the Aedes infestation index (HI) was predictive of an increase in dengue cases with a preceding interval of six weeks. Our analysis showed a moderate correlation between the Aedes infestation index and when dengue cases surpassed the third quartile of the endemic channel.…”
Section: Discussionsupporting
confidence: 59%
“…Although the circulation of DENV-2 was detected in April, the majority of cases occurred from July to September. Similar to Vargas et al 43 , the Aedes infestation index (HI) was predictive of an increase in dengue cases with a preceding interval of six weeks. Our analysis showed a moderate correlation between the Aedes infestation index and when dengue cases surpassed the third quartile of the endemic channel.…”
Section: Discussionsupporting
confidence: 59%
“…Only six studies incorporated entomological (mosquito) data in their models [ 30 , 31 , 36 , 42 , 44 , 45 ]. A Breteau index (BI) which is defined as the number of positive containers (i.e.…”
Section: Resultsmentioning
confidence: 99%
“…First, we present a novel method to estimate the quantities of adult female mosquitoes from the BI data and environmental information. This approach differs from other studies that directly use vector indices and involved factors (e.g., climate, sociodemographic indicators, and land-cover types) to estimate the potential dengue risk from a statistical perspective [ 14 , 16 , 26 ]. Second, based on the available transportation data, we use a standard radiation model to approximate the human mobility pattern [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…Second, dengue infection risk is in reality primarily evaluated by vector indicators, such as the house index (HI), the container index (CI), the Breteau index (BI), the pupa index (PI), and the adult productivity index [ 2 ]. However, the traditional vector indices (e.g., HI, CI, and BI) have been shown to be poor proxies for measuring adult mosquito abundance and dengue risk, possibly due to the inadequate quality of the vector and incidence data, diversity of vector indices and adult vector densities, or to geographic/temporal mismatches of infection sites and index records [ 14 16 ]. Most vector indices only reflect vector prevalence rather than abundance [ 17 ], as they do not take into account the container type productivity.…”
Section: Introductionmentioning
confidence: 99%
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