Detection of Rift Valley Fever virus from mosquito vectors and Mosquito distribution model Based Rift Valley Fever Risk Mapping in Ethiopia

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Mosquito-borne arboviral diseases are a big health challenge worldwide. Rift Valley Fever virus (RVFV) is one of the most important mosquito-borne emerging diseases that threaten human and animal health particularly in Africa. So far, the status of RVFV circulating in mosquito vectors is unknown in Ethiopia. Thus, this study was conducted with the aims of investigating RVFV vector mosquitoes, viral detection, and RVF risk mapping based on RVF mosquito vector distribution model in Ethiopia. Entomological survey was conducted between December, 2018 and April, 2019 in selected areas of mid-Rift Valley, Borena and Segen Valley, Ethiopia and the result showed diversified species of primary vectors (Aedes spp.) and secondary vectors (Culex, Anopheles, and Mansonia) were collected and identified. A total of 2,322 adult mosquitoes were collected and four genera: Aedes (n = 404; 17.40%), Culex (n = 466; 20.06%), Mansonia (n = 210; 9.04%), and Anopheles (n = 493; 21.23%) were identified while the remaining (746; 32.12 %) mosquitoes were unidentified. Aedes ochraceus (126; 8.0%), Cx. quinquefasciatus (141; 9.01%), the M. uniformis (210; 13.32%) and An. gambiae (64; 4.06%) were predominant species from the four genera. Among identified mosquitoes 45.55% and 22.78% were collected near lake shore and near pond, respectively, while the remaining were collected from others habitats. A total of 38 mosquito pools, containing 20-25 mosquitoes per pool, were tested by reverse transcriptase-PCR using the virus



Ensemble modeling, Mosquito survey, Predictor variables