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Results 21-30 of 38 (Search time: 0.004 seconds).
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Issue DateTitleAuthor(s)
2014Rainfall Variability as the Determinant of Malaria in the Federal Capital Territory Abuja, NigeriaYahaya, U. B.; Akiode, O. A.; Abubakar, A. S.; Emigilati, M. A.
2017-04Review: An Overview of Application of Nanotechnology in Malaria ControlDaniel, Augustine Innalegwu; Omalu, Ikechukwu Christopher
2014The Climate of North-central Nigeria and Potential Influence on Mosquito (Diptera: Culicidae) Vectorial Capacity, for Disease TransmissionOlayemi, Israel Kayode; Idris, B.; Ejima, I. A. A.; Adeniyi, Kamoru Abdulazeez; Ukubuiwe, Azubuike Christian; Isah, B.
2019Anti-plasmodial, analgesic and anti-inflammatory activities of crude and alkaloidal fraction of Terminalia glaucescens stem bark.Dannana, Luke W.; Jigam, Ali A.; Adefolalu, Funmilola S.; Abdulkadir, Abudullahi
2019A Computer Based Approach for the Prediction of Multiclass Symptomatic Malaria InfectionDouglas, Ibrahim; Abisoye, Opeyemi Aderiike; Abisoye, Blessing Olatunde; Elisha, Richard
2020-06MATHEMATICAL MODEL FOR CONTROLLING THE SPREAD OF MALARIA FEVER USING THERAPY/VACCINATION.Enagi, Abdullah Idris; Ibrahim, Mohammed Olanrewaju; Jibrin, I
2015-04Antiplasmodial Activity of Ethanol Extract of Vernonia amygdalina leaf in Plasmodium berghei Infected Mice: in vivo studyMadaki, Fatima, M
2017Symptomatic and Climatic Based Malaria Threat Detection using Multilevel Thresholding Feed-Forward Neural Network.Abisoye, Opeyemi Aderiike; Jimoh, Rasheed
2018A SURVEY OF FACTORS AFFECTING SYMPTOMATIC AND CLIMATIC BASED MALARIA PARASITE COUNTSAbisoye, Opeyemi Aderiike; Jimoh, R.G.
2018Comparative Study on the Prediction of Symptomatic and Climatic based Malaria Parasite Counts Using Machine Learning ModelsAbisoye, Opeyemi Aderiike; Rasheed, Jimoh G.