Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/2443
Title: Detection of all four dengue serotypes in Aedes aegypti female mosquitoes collected in a rural area in Colombia
Authors: Pérez-Castro, Rosalía 
Castellanos, Jaime E.
Olano, Victor Alberto 
Matiz, María Inés 
Jaramillo, Juan Felipe 
Vargas, Sandra Lucía 
Sarmiento, Diana 
Stenström, Thor-Axel 
Overgaard, Hans J. 
Keywords: Dengue virus;RT-PCR;Household;Rural settlement;Multiple infection;Forecasting
Issue Date: Apr-2016
Publisher: Instituto Oswaldo Cruz, Ministério da Saúde
Source: Pérez-Castro, R. et al. 2016. Detection of all four dengue serotypes in Aedes aegypti female mosquitoes collected in a rural area in Colombia. Memorias do Instituto Oswaldo Cruz. 11(4): 233-240.
Abstract: The Aedes aegypti vector for dengue virus (DENV) has been reported in urban and periurban areas. The in-formation 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 res-ervoir 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.
URI: http://hdl.handle.net/10321/2443
ISSN: 0074-0276 (print)
1678-8060 (online)
Appears in Collections:Research Publications (Academic Support)

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