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Baseline malaria vector transmission dynamics in communities in Ahafo mining area in Ghana

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dc.contributor.author Dery, Dominic B
dc.contributor.author Asante, Kwaku P
dc.contributor.author Zandoh, Charles
dc.contributor.author Febir, Lawrence G
dc.contributor.author Brown, Charles
dc.contributor.author Adjei, George
dc.contributor.author Antwi-Dadzie, Yaw
dc.contributor.author Mahama, Emmanuel
dc.contributor.author chum, Kofi
dc.contributor.author Dosoo, David
dc.contributor.author Amenga-Etego, Seeba
dc.contributor.author Adda, Robert
dc.contributor.author Mensah, Christine
dc.contributor.author Owusu-Sekyere, Kwabena B
dc.contributor.author Anderson, Chris
dc.contributor.author Krieger, Gary
dc.contributor.author Owusu-Agyei, Seth
dc.date.accessioned 2022-02-21T13:05:14Z
dc.date.available 2022-02-21T13:05:14Z
dc.date.issued 2015
dc.identifier.issn 2015
dc.identifier.uri http://hdl.handle.net/123456789/7584
dc.description 8p:, ill. en_US
dc.description.abstract Malaria vector dynamics are relevant prior to commencement of mining activities. A baseline entomology survey was conducted in Asutifi and ano (referred to as Ahafo) in the Brong-Ahafo geo-political region of Ghana during preparatory stages for mining by Newmont Ghana Gold Limited. Methods: Between November 2006 and August 2007, eight Centre for Disease Control light traps were set daily (Monday-Friday) to collect mosquitoes. raps were hanged in rooms that were selected from a pool of 1,100 randomly selected houses. ypes of materials used in construction of houses were recorded and mosquito prevention measures were assessed from occupants. Results: A total of 5,393 mosquitoes were caught that comprised Anopheles gambiae (64.8%), Anopheles funestus (4.2%), as well as Culicines, comprising of Culex (30.4%) and Aedes species (0.6%). he entomological inoculation rate in Asutifi (279 infective bites/person/month) and Tano (487 infective bites/person/month) demonstrate relatively high malaria transmission in Ahafo. he presence or absence of Anopheles vectors in rooms was influenced by the type of roofing material (OR 2.33, 95%CI: 1.29-4.22, p = 0.01) as well as the presence of eaves gaps (OR 1.80, 95%CI: 1.37-2.37, p < 0.01). It was also associated with bed net availability in the room (OR 1.39, 95%CI: 1.08-1.80, p = 0.01). Over 80% of the houses were roofed with corrugated zinc sheets. Over 60% of the houses in Ahafo had no eaves gaps to give access to mosquito entry and exit into rooms and mosquito bed net coverage was over 50%. Other measures used in preventing mosquito bites included; coil (22.1%), insecticide spray (9.4%), repellent cream (4.0%) and smoky fires (1.1%), contributed minimally to individual mosquito preventive measures in impact areas. Similarly, levels of protection; coil (16.9%), insecticide spray (2.8%) and repellent cream (0.3%) for the non-impact areas, depict low individual prevention measures. Conclusions: The survey identified areas where intensified vector control activities would be beneficial. It also demonstrates that transmission in Asutifi and ano is high even before the commencement of mining operations. This study serves as baseline information to assess impact of mining activities in relation to future vector control interventions en_US
dc.language.iso en en_US
dc.publisher University of Cape Coast en_US
dc.subject Malaria transmission en_US
dc.subject Ahafo en_US
dc.subject Anopheles gambiae en_US
dc.subject Anopheles funestus en_US
dc.title Baseline malaria vector transmission dynamics in communities in Ahafo mining area in Ghana en_US
dc.type Article en_US


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