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González Jiménez, M. et al. (2019) Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning. Wellcome Open Research, 4, 76. (doi: 10.12688/wellcomeopenres.15201.3) (PMID:31544155) (PMCID:PMC6753605)
Mwanga, E. P. et al. (2019) Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis. Malaria Journal, 18, 187. (doi: 10.1186/s12936-019-2822-y) (PMID:31146762) (PMCID:PMC6543689)
Siria, D. J., Batista, E. P.A., Opiyo, M. A., Melo, E. F., Sumaye, R. D., Ngowo, H. S. , Eiras, A. E. and Okumu, F. O. (2018) Evaluation of a simple polytetrafluoroethylene (PTFE)-based membrane for blood-feeding of malaria and dengue fever vectors in the laboratory. Parasites and Vectors, 11, 236. (doi: 10.1186/s13071-018-2823-7) (PMID:29642937) (PMCID:PMC5896090)