International Journal of Malaria Research and Reviews
June 2019 Vol. 7(1), pp. 1-6

Copyright © 2019 Discourse Journals

Full Length Research Paper

Sporozoite Infection Rate of Malaria Vectors in an Agrarian Community in Shongom Local Government Area of Gombe State, North-Eastern Nigeria

Lamogo Yohanna1 Georgina S. Mwansat2 and Dung D. Pam2

1Department of Biological Sciences, Faculty of Science, Gombe State University, Gombe, Gombe State
2Department of Zoology, Faculty of Natural Sciences, University of Jos, Jos Plateau State


This study reports the mosquito species abundance and the sporozoite infection rate of malaria vectors in Latur Community Shongom Local Government Area of Gombe State, Northeastern Nigeria. The research was carried out in the dry season in March, 2016. A total of 412 adult female mosquitoes comprising of 373(90.5%) anophelines and 39 (9.5%) culicines were captured and morphologically identified using standard keys. Of these, 324(78.47%) were Anopheles gambiae, 49(11.89%) were Anopheles funestus and the remaining 39(9.47%) were Culex species. Chi –square statistic showed a significant difference in the mosquito species abundance (?2 test P<0.05). The Anopheles mosquitoes were dissected using standard procedures and an overall sporozoite infection rate of 12.6% was recorded. Anopheles gambiae had the highest sporozoite infection rate 8.6% while Anopheles funestus had the lowest sporozoite infection rate 4.0%. Chi-square statistic showed a significant different in the sporozoite infection rate in the two Anopheles species (?2 test P<0.05). The presence of stagnant water which serves as breeding sites of mosquitoes in the area explains this result. The study has made known Latur, as a malaria endemic area and that Anopheles gambiae and Anopheles funestus are incriminated as malaria vectors. Therefore, the findings of this research can serve as a baseline data for the implementation and evaluation of malaria control programs in Shongom Local Government Area.

Keywords: Mosquito species abundance, Malaria vector, Sporozoite infection rate, Malaria endemic area, Baseline data and Control programs.

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