Dr. Leah Johnson
Dr Johnson is an Assistant Professor in Statistics and in Computational Modeling and Data Analytics (CMDA), and also has an affiliation in Biology. She teaches courses in Statistics and CMDA especially focusing on biological applications. Dr Johnson is also the US PI on the NIH funded Vector Behavior in Transmission Ecology (VectorBiTE) RCN.
Recent Relevant Publications
R.A. Taylor, S.J. Ryan, J.S. Brashares and L.R. Johnson. Hunting, Food Subsidies and Mesopredator Release: Understanding the Dynamics of Crop-Raiding Baboons in a Managed Landscape. Ecology, 2016, 97 (4), 951-960. DOI: 10.1890/15-0885.1
S.J. Ryan, A. McNally, L.R. Johnson, E. Mordecai, K. Paaijmans, K. Lafferty. Climate change and malaria shifts: new implications for health geography and targeting control. Vector-Borne and Zoonotic Diseases, 2015, 15(12): 718-725. DOI:10.1089/vbz.2015.1822. (arXiv preprint: arXiv:1407.7612)
S.J. Ryan, T. BenHorin, L.R. Johnson. Malaria control and senescence: the importance of accounting for the pace and shape of ageing in wild mosquitoes. Ecosphere, 2015, 6:art170–art170. DOI:10.1890/ES15-00094.1.
L.R. Johnson, T. Ben-Horin, K.D. Lafferty, A. McNally, E. Mordecai, K. Paaijmans, S. Pawar, S.J. Ryan, Understanding uncertainty in temperature effects on vector-borne disease: A Bayesian approach. Ecology, 2015, 96:203-213. preprint arXiv:1310.5110.
J. Voyles, L.R. Johnson, C.J. Briggs, S.D. Cashins, R.A. Alford, L. Berger, L.F. Skerratt, R. Speare, E.B. Rosenblum. Experimental evolution alters the rate and temporal pattern of population growth in Batrachochytrium dendrobatidis, a lethal fungal pathogen of amphibians. Ecology and Evolution, 2014; 4(18): 3633-3641.
L.R. Johnson, L. Pecquerie and R.M. Nisbet. Bayesian inference for bioenergetic models, Ecology, 2013, 94(4):882-894. doi:10.1890/12-0650.1
E. Mordecai, K. Paaijmans, L.R. Johnson, C. Balzer, T. Ben-Horin, E. de Moor, A. McNally, S. Pawar, S. Ryan, T. Smith, K. Lafferty. Optimal temperature for malaria transmission is dramatically lower than previously predicted, Ecology Letters, 2013, 16(1):22-30. doi: 10.1111/ele.12015