<i>Aedes aegypti</i>Larval Indices and Risk for Dengue Epidemics

Sánchez, Lizet; Vanlerberghe, Veerle; Alfonso, L; Marquetti, María del Carmen; Guzmán, María G.; Bisset, Juan A.; Stuyft, Patrick Van der

doi:10.3201/eid1205.050866

Cited by 173 publications

(194 citation statements)

References 34 publications

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“…This fi nding is in agreement with other studies that showed that the BI is an appropriate entomological index for use in low-infestation areas. 19,20 This result is in accordance with the fi ndings for Jaguare because this area's infestation level is low compared with those in some The main difference observed among the infestation maps in the geographical region evaluated was associated with the use of indices calculated per property or hectare. One reason for this difference is the presence of properties with large lots.…”

Section: Discussionsupporting

confidence: 85%

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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Section: Discussionsupporting

confidence: 85%

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

et al. 2013

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“…This is consistent with studies conducted in endemic Latin American cities, in which it has been shown that rainfall correlates positively with the larval population density of the vector and with the incidence of dengue. [41][42][43] Poverty has been identified as intrinsically related to the incidence of neglected tropical diseases such as dengue. Most of the countries with a low HDI and a greater burden of such diseases are located in tropical and subtropical regions.…”

Section: Determinants Of Dengue Mortalitymentioning

confidence: 99%

Factors Associated with Dengue Mortality in Latin America and the Caribbean, 1995–2009: An Ecological Study

Díaz-Quijano

Waldman²

2012

The American Society of Tropical Medicine and Hygiene

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Abstract. In this study, we aimed to estimate the effect that environmental, demographic, and socioeconomic factors have on dengue mortality in Latin America and the Caribbean. To that end, we conducted an observational ecological study, analyzing data collected between 1995 and 2009. Dengue mortality rates were highest in the Caribbean (Spanishspeaking and non-Spanish-speaking). Multivariate analysis through Poisson regression revealed that the following factors were independently associated with dengue mortality: time since identification of endemicity (adjusted rate ratio ; population density (aRR = 2.1 and 3.2 for 20-120 inhabitants/km 2 and > 120 inhabitants/km 2 , respectively); Human Development Index > 0.83 (aRR = 0.4); and circulation of the dengue 2 serotype (aRR = 1.7). These results highlight the important role that environmental, demographic, socioeconomic, and biological factors have played in increasing the severity of dengue in recent decades.

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“…42 Eliminating vector breeding sites reduces vector density, a predictor of dengue infection risk. 43 In the case of Japanese encephalitis, the proximity of livestock reservoirs to irrigated areas can increase the risk of human infection. 44 Intermittent irrigation of rice paddy habitats and isolation of pig rearing from such areas can reduce the risk of infection.…”

Section: Vector-borne Infectionsmentioning

confidence: 99%

Regional disparities in the burden of disease attributable to unsafe water and poor sanitation in China

Carlton¹,

Liang

McDowell

et al. 2012

Bull World Health Org

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Aedes aegyptiLarval Indices and Risk for Dengue Epidemics

Abstract: Entomologic indices can identify areas at high risk for disease transmission.

Cited by 173 publications

References 34 publications

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

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

Factors Associated with Dengue Mortality in Latin America and the Caribbean, 1995–2009: An Ecological Study

Regional disparities in the burden of disease attributable to unsafe water and poor sanitation in China

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