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Memórias do Instituto Oswaldo Cruz
Fundação Oswaldo Cruz, Fiocruz
ISSN: 1678-8060
EISSN: 1678-8060
Vol. 111, No. 4, 2016, pp. 233-240
Bioline Code: oc16032
Full paper language: English
Document type: Research Article
Document available free of charge

Memórias do Instituto Oswaldo Cruz, Vol. 111, No. 4, 2016, pp. 233-240

 en Detection of all four dengue serotypes in Aedes aegypti check for this species in other resources female mosquitoes collected in a rural area in Colombia
Pérez-Castro, Rosalía; Castellanos, Jaime E.; Olano, Víctor A.; Matiz, María Inés; Jaramillo, Juan F.; Vargas, Sandra L.; Sarmiento, Diana M.; Stenström, Thor Axel & Overgaard, Hans J.

Abstract

The Aedes aegypti check for this species in other resources vector for dengue virus (DENV) has been reported in urban and periurban areas. The information about DENV circulation in mosquitoes in Colombian rural areas is limited, so we aimed to evaluate the presence of DENV in Ae. aegypti females caught in rural locations of two Colombian municipalities, Anapoima and La Mesa. Mosquitoes from 497 rural households in 44 different rural settlements were collected. Pools of about 20 Ae. aegypti females were processed for DENV serotype detection. DENV in mosquitoes was detected in 74% of the analysed settlements with a pool positivity rate of 62%. The estimated individual mosquito infection rate was 4.12% and the minimum infection rate was 33.3/1,000 mosquitoes. All four serotypes were detected; the most frequent being DENV-2 (50%) and DENV-1 (35%). Two-three serotypes were detected simultaneously in separate pools. This is the first report on the co-occurrence of natural DENV infection of mosquitoes in Colombian rural areas. The findings are important for understanding dengue transmission and planning control strategies. A potential latent virus reservoir in rural areas could spill over to urban areas during population movements. Detecting DENV in wild-caught adult mosquitoes should be included in the development of dengue epidemic forecasting models.

Keywords
dengue virus; RT-PCR; household; rural settlement; multiple infection; forecasting

 
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