Predicting lymphatic filariasis elimination in data-limited settings: a reconstructive computational framework for combining data generation and model discovery
M. E. Smith, E. Griswold, B. K. Singh, E. Miri, A. Eigege, S. Adelamo, J. Umaru, K. Nwodu, Y. Sambo, J. Kadimbo, J. Danyobi, F. O. Richards, E. Michael
This paper develops a computational framework that combines data generation and model discovery to predict lymphatic filariasis elimination in data-limited settings, showing it can identify local transmission models and forecast intervention impacts.
PLOS Computational Biology · Jul 21, 2020Peer-reviewedEcology