Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso
P. Taconet, A. Porciani, D. D. Soma, K. Mouline, F. Simard, A. A. Koffi, C. Pennetier, R. K. Dabire, M. Mangeas, N. Moiroux
This study uses interpretable machine learning to identify environmental factors influencing malaria vector biting rates in rural Burkina Faso.
bioRxiv · Apr 13, 2021Ecology