Use este identificador para citar ou linkar para este item: https://ri.ufs.br/jspui/handle/riufs/23220
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dc.contributor.authorSteffler, Lizandra Makowski-
dc.contributor.authorMarteis, Letícia Silva-
dc.contributor.authorDolabella, Silvio Santana-
dc.contributor.authorCavalcanti, Sócrates Cabral de Holanda-
dc.contributor.authorSantos, Roseli La Corte dos-
dc.date.accessioned2025-09-23T18:45:07Z-
dc.date.available2025-09-23T18:45:07Z-
dc.date.issued2011-05-
dc.identifier.citationSTEFFLER, L. M. et al. Risk of dengue occurrence based on the capture of gravid Aedes aegypti females using MosquiTRAP, Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 106, n. 3, p. 365-367, maio 2011. Disponível em: https://www.scielo.br/j/mioc/a/g4HnHFMtJYHYHLyfS6x8JYc/?lang=en. Acesso em: 23 set. 2025.pt_BR
dc.identifier.issn1678-8060-
dc.identifier.urihttps://ri.ufs.br/jspui/handle/riufs/23220-
dc.languageengpt_BR
dc.publisherInstituto Oswaldo Cruz - Ministério da Saúdept_BR
dc.relation.ispartofMemórias do Instituto Oswaldo Cruzpt_BR
dc.subjectAedes aegyptieng
dc.subjectMosquiTRAPeng
dc.subjectInfestationeng
dc.subjectVector controleng
dc.subjectSergipeeng
dc.titleRisk of dengue occurrence based on the capture of gravid Aedes aegypti females using MosquiTRAPpt_BR
dc.typeArtigopt_BR
dc.identifier.licenseCreative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)pt_BR
dc.description.resumoWe assessed the risk classification of dengue fever based on the capture of Aedes aegypti adults using MosquiTRAP, a type of sticky trap, in comparison with traditional larval infestation indices. A total of 27 MosquiTRAPs were installed, with one trap per block, and were inspected weekly between November 2008-February 2009. Infestation baseline data were obtained from a survey conducted prior to trap installation. The index generated by MosquiTRAP and house index (HI) classified the area “in alert situation”. The set for risk of dengue occurrence proposed by the use of MosquiTRAP classify areas in the same way of the traditional HI.pt_BR
dc.description.localRio de Janeiropt_BR
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