Abstract

BackgroundVector control interventions using long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are commonly practiced tools for the control of malaria in Ethiopia. In order to evaluate the effectiveness of these control interventions, and understand the prevailing malaria vectors, their incrimination in disease transmission, and their resting and feeding behavior, we set out to identify the Anopheles species, their blood meal sources, and entomological inoculation rate (EIR) in Ghibe and Darge within the Ghibe River basin, southwestern Ethiopia.MethodsAdult Anopheles mosquitoes were sampled both indoors and outdoors from January 2015 to October 2016 using Centers for Disease Control and Prevention (CDC) light traps, pyrethrum spray catch (PSC), artificial pit shelters and mouth aspirators. Mosquito species were morphologically identified, and their blood meal sources and malaria sporozoite rates were assessed using enzyme-linked immunosorbent assays.ResultsIn total, 13 species of Anopheles mosquitoes were identified, among which Anopheles gambiae (s.l.) was the predominant species: 87.9 and 67.7% in Ghibe and Darge, respectively. The mean density of An. gambiae (s.l.) collected per night using CDC light traps was 1.8 and 0.7 outdoors and indoors, respectively, in Ghibe, and 0.125 and 0.07 indoors and outdoors, respectively, in Darge. Anopheles mosquito abundance was higher in houses near the river than in houses far from the river in both study sites. Among Anopheles mosquitoes sampled using CDC light trap catches, 67.6% were unfed and the indoor and outdoor human blood indices of An. gambiae (s.l.) were 58.4 and 15.8%, respectively in Ghibe, while in Darge, they were 57.1 and 50%, respectively. Sporozoite rates were 0.07% for P. vivax and 0.07% for P. falciparum in Ghibe and zero in Darge. In Ghibe, the overall EIRs for P. falciparum and P. vivax were zero and 8.4 infective bites/person/year, respectively, in 2015, while zero and 5.4 infective bites/person/year for P. vivax and P. falciparum, respectively, in 2016. No Plasmodium-positive Anopheles mosquitoes were identified from Darge.ConclusionsAnopheles gambiae (s.l.), the principal vector of malaria in Ethiopia was the most abundant species both indoors and outdoors, fed both on human and cattle blood and occurred at higher frequencies near rivers. Anopheles gambiae (s.l.) that were circumsporozoite-positive for Plasmodium species were collected from Ghibe, but not Darge.

Highlights

  • Vector control interventions using long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are commonly practiced tools for the control of malaria in Ethiopia

  • In Ethiopia, Plasmodium falciparum accounts for 64% of the malaria cases while Plasmodium vivax accounts for 36% [2, 3], but these percentages might not be constant because of the high degree of seasonal variation in Plasmodium species [4,5,6,7]

  • Our study showed that in Ghibe, human blood index (HBI) was higher from mosquitoes collected indoors from human dwellings, while bovine blood index (BBI) was higher from outdoor collections, which is in agreement with findings of Hadis et al [56] and Massebo et al [57]

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Summary

Introduction

Vector control interventions using long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are commonly practiced tools for the control of malaria in Ethiopia. Malaria transmission is seasonal and shows variation in its endemicity in the country due to its large diversity in altitude, rainfall, and population movement [2]. It has been estimated that 2.8 million cases and 4900 deaths occurred because of malaria in 2015. In Ethiopia, Plasmodium falciparum accounts for 64% of the malaria cases while Plasmodium vivax accounts for 36% [2, 3], but these percentages might not be constant because of the high degree of seasonal variation in Plasmodium species [4,5,6,7]. Reports have shown that the number of malaria cases and deaths declined after the scale-up of deployment of artemisinin-based combination therapy (ACT), IRS and wide distribution of LLINs [9, 10]

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