Application of an Alternative Aedes Species (Diptera: Culicidae) Surveillance Method in Botucatu City, São Paulo, Brazil

Nogueira, Letícia A.; Gushi, Letícia Tsieme; Miranda, João Edenilson; Madeira, Newton Goulart; Ribolla, Paulo Eduardo Martins

doi:10.4269/ajtmh.2005.73.309

Cited by 19 publications

(19 citation statements)

References 16 publications

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“…The concept of transmission risk is mostly based on the paradigm of basic reproduction rate of the disease (R 0 ; Lieshout et al 2004;Cruz-Pacheco et al 2005), which arose initially in demography (Nishiura and Inaba 2007). Operationally, methods are being developed for mosquito density monitoring, in order to survey the effects of prevention (Nogueira et al 2005). The quick detection of dengue cases is also of first importance (Beckett et al 2005).…”

Section: Early Warning Systems (Ews): the Necessary Link Between Sciementioning

confidence: 99%

Toward an early warning system for dengue prevention: modeling climate impact on dengue transmission

et al. 2009

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Dengue fever is the most prevalent mosquito-borne viral disease of humans in tropical lands. As an efficient vaccine is not yet available, the only means to prevent epidemics is to control mosquito populations. These are influenced by human behavior and climatic conditions and thus, need constant effort and are very expansive. Examples of succeeded prevention are rare because of the continuous reintroduction of virus or vector from outside, or growing resistance of mosquito populations to insecticides. Climate variability and global warming are other factors which may favour epidemics of dengue. During a pilot study in Claris EC project, a model for the transmission of dengue was built, to serve as a tool for estimating the risk of epidemic transmission and eventually forecasting the risk under climatic change scenarios. An ultimate objective would be to use the model as an early warning system with meteorological forecasts as input, thus allowing better decision making and prevention.

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Section: Early Warning Systems (Ews): the Necessary Link Between Sciementioning

confidence: 99%

Toward an early warning system for dengue prevention: modeling climate impact on dengue transmission

et al. 2009

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“…Botucatu is a relative small city, compared with others in this study, with a pronounced cold period. Captures performed in the cold period lead to very few eggs, and during the hot period Aedes albopictus is the major mosquito species (Nogueira et al, 2005).…”

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confidence: 99%

Genetic variability in geographical populations of Aedes aegypti (Diptera, Culicidae) in Brazil elucidated by molecular markers

2006

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The tropical mosquito, Aedes aegypti is the most important domestic vector of urban yellow fever and dengue. Genetic population studies on this vector are important because they may lead to new tools for surveillance. An analysis of genetic structure was conducted among populations of A. aegypti from 11 localities in four demographic regions within six Brazilian federal states. Markers included 21 random amplified polymorphic DNA (RAPD) loci. RAPD markers were detected among populations and cluster analysis revealed two main groups. We found high genetic polymorphism (H S = 0.224) and high levels of genetic differentiation between populations from different states (G ST = 0.430), as well as in populations from cities in the same state (G ST = 0.410). These results indicate significant differentiation in A. aegypti populations in Brazil. Regression analyses of geographic distances and pairwise F ST values estimated from RAPD markers showed that there is a correlation between genetic structure and geographic localization.

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“…The association between gardens and yards and the presence of the vector agrees with the criteria used to defi ne the premise condition index, which was created to identify properties with higher probabilities of vector presence, 23 and agrees with other studies. 10,15 Following the WHO guidelines, 4 studies were conducted to identify the most productive containers, and several of these studies identifi ed container types that simultaneously had low frequencies among the inspected containers and high levels of productivity.…”

Section: Discussionmentioning

confidence: 99%

Aedes aegypti entomological indices in an endemic area for dengue in Sao Paulo State, Brazil

et al. 2013

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OBJECTIVE:To evaluate the most productive types of properties and containers for Aedes aegypti and the spatial distribution of entomological indices. METHODS:Between December 2006 and February 2007, the vector's immature forms were collected to obtain entomological indices in 9,875 properties in the Jaguare neighborhood of Sao Jose do Rio Preto, SP, Southeastern Brazil. In March and April 2007, a questionnaire about the conditions and characteristics of properties was administered. Logistic regression was used to identify variables associated with the presence of pupae at the properties. Indices calculated per block were combined with a geo-referenced map, and thematic maps of these indices were obtained using statistical interpolation. RESULTS:The properties inspected had the following Ae. aegypti indices: Breteau Index = 18.9, 3.7 larvae and 0.42 pupae per property, 5.2 containers harboring Ae. aegypti per hectare, 100.0 larvae and 11.6 pupae per hectare, and 1.3 larvae and 0.15 pupae per inhabitant. The presence of yards, gardens and animals was associated with the presence of pupae. CONCLUSIONS:Specific types of properties and containers that simultaneously had low frequencies among those positive for the vector and high participation in the productivity of larvae and pupae were not identifi ed. The use of indices including larval and pupal counts does not provide further information beyond that obtained from the traditional Stegomyia indices in locations with characteristics similar to those of São José do Rio Preto. The indices calculated per area were found to be more accurate for the spatial assessment of infestation. The Ae. aegypti infestation levels exhibited extensive spatial variation, indicating that the assessment of infestation in micro areas is needed.

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Application of an Alternative Aedes Species (Diptera: Culicidae) Surveillance Method in Botucatu City, São Paulo, Brazil

Cited by 19 publications

References 16 publications

Toward an early warning system for dengue prevention: modeling climate impact on dengue transmission

Toward an early warning system for dengue prevention: modeling climate impact on dengue transmission

Genetic variability in geographical populations of Aedes aegypti (Diptera, Culicidae) in Brazil elucidated by molecular markers

Aedes aegypti entomological indices in an endemic area for dengue in Sao Paulo State, Brazil

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