Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus spillover in West Africa
A. J. Basinski, E. J. Fichet-Calvet, A. R. Sjodin, T. J. Varrelman, C. Remien, N. C. Layman, B. H. Bird, D. J. Wolking, C. Monagin, B. M. Ghersi, P. A. Barry, M. A. Jarvis, P. E. Gessler, S. L. Nuismer
This paper develops a machine learning framework to estimate Lassa virus spillover risk by separating reservoir and spillover risk components, finding Nigeria accounts for over half of annual infections.
bioRxiv · Mar 5, 2020Ecology