RESUMO
INTRODUCTION: the Building Infestation Index (BII) uses the Rapid Assay of the Larval Index for Aedes aegypti (LIRAa) to express the relationship between positive and surveyed properties. We evaluated LIRAa and the relationship between the BII and climate variables for dengue cases in Foz do Iguaçu municipality, Paraná. METHODS: Spearman's correlations for mean precipitation, mean temperature, BII, and dengue cases (time lag). RESULTS: positive correlations between BII and cases, and mean temperature and cases at two months. Weak correlation between precipitation and cases at three months. CONCLUSIONS: LIRAa and climate variables correlate with dengue cases.
Assuntos
Aedes/virologia , Dengue/epidemiologia , Insetos Vetores/virologia , Aedes/classificação , Animais , Brasil/epidemiologia , Dengue/transmissão , Humanos , Insetos Vetores/classificação , Densidade Demográfica , Estações do Ano , População UrbanaRESUMO
Abstract INTRODUCTION: the Building Infestation Index (BII) uses the Rapid Assay of the Larval Index for Aedes aegypti (LIRAa) to express the relationship between positive and surveyed properties. We evaluated LIRAa and the relationship between the BII and climate variables for dengue cases in Foz do Iguaçu municipality, Paraná. METHODS: Spearman's correlations for mean precipitation, mean temperature, BII, and dengue cases (time lag). RESULTS: positive correlations between BII and cases, and mean temperature and cases at two months. Weak correlation between precipitation and cases at three months. CONCLUSIONS: LIRAa and climate variables correlate with dengue cases.