Justin Davis

Postdoctoral Fellow




I'm a mathematician-turned-statistician. Most of my work is in R, usually a generalized linear model on some rare epidemiological outcome (West Nile virus, ebola, dengue) as a function of satellite and entomological indices. I've begun using mixed/Bayesian/gam models on more difficult geospatial questions, but typically find that simpler usually suffices, if you do it right. Essentially everything I do is dimension reduction. Whether by wavelets, distributed lags, or other techniques, it seems my primary job is to dig through large sets of covariates.

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Wimberly MC, Davis JK, Hildreth MB, Clayton JL. (2022). Integrated Forecasts Based on Public Health Surveillance and Meteorological Data Predict West Nile Virus in a High-Risk Region of North America. Environmental health perspectives, 130(8)

Keyel AC, Gorris ME, Rochlin I, Uelmen JA, Chaves LF, Hamer GL, Moise IK, Shocket M, Kilpatrick AM, DeFelice NB, Davis JK, Little E, Irwin P, Tyre AJ, Helm Smith K, Fredregill CL, Elison Timm O, Holcomb KM, Wimberly MC, Ward MJ, Barker CM, Rhodes CG, Smith RL. (2021). A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making. PLoS neglected tropical diseases, 15(9)

Wimberly MC, Davis JK, Evans MV, Hess A, Newberry PM, Solano-Asamoah N, Murdock CC. (2020). Land cover affects microclimate and temperature suitability for arbovirus transmission in an urban landscape. PLoS neglected tropical diseases, 14(9)

Vincent GP, Davis JK, Wittry MJ, Wimberly MC, Carlson CD, Patton DL, Hildreth MB. (2020). Epidemic West Nile Virus Infection Rates and Endemic Population Dynamics Among South Dakota Mosquitoes: A 15-yr Study from the United States Northern Great Plains. Journal of medical entomology, 57(3)

Davis JK, Gebrehiwot T, Worku M, Awoke W, Mihretie A, Nekorchuk D, Wimberly MC. (2019). A genetic algorithm for identifying spatially-varying environmental drivers in a malaria time series model. Environmental modelling & software : with environment data news, (119)

Vincent GP, Davis JK, Wimberly MC, Carlson CD, Hildreth MB. (2018). in an Area Endemic for West Nile Virus. BioMed research international, (2018)

Davis JK, Vincent GP, Hildreth MB, Kightlinger L, Carlson C, Wimberly MC. (2018). Improving the prediction of arbovirus outbreaks: A comparison of climate-driven models for West Nile virus in an endemic region of the United States. Acta tropica, (185)

Michael Wimberly, Justin Davis, Geoffrey Vincent, Andrea Hess, and Michael Hildreth. (2018). An Operational System for Surveillance and Ecological Forecasting of West Nile Virus Outbreaks. Environmental Health Perspectives

Davis JK, Vincent G, Hildreth MB, Kightlinger L, Carlson C, Wimberly MC. (2017). Integrating Environmental Monitoring and Mosquito Surveillance to Predict Vector-borne Disease: Prospective Forecasts of a West Nile Virus Outbreak. PLoS currents, (9)

Andrea Hess, Justin Davis, Brianna Lind, Michael Wimberly. (2017). Remote-sensing based risk mapping for mosquito-borne diseases: a spatial modelling study. The Lancet, 389(10)

Michael Wimberly, Justin Davis, Geoffrey Henebry, Michael Hildreth, Yi Liu, Christopher Merkord. (2017). Integrated surveillance and modelling systems for climate-sensitive diseases: two case studies. The Lancet, 389(24)

Christopher L. Merkord, Justin K. Davis, Michael C. Wimberly. (2017). Evaluation of environmentally driven models for early warning of malaria: an exploratory study. The Lancet, 389(13)

Manore CA, Hickmann KS, Hyman JM, Foppa IM, Davis JK, Wesson DM, Mores CN. (2015). A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease. Journal of biological dynamics, (9)

Manore CA, Davis J, Christofferson RC, Wesson D, Hyman JM, Mores CN. (2014). Towards an early warning system for forecasting human west nile virus incidence. PLoS currents, (6)

Manore CA, Davis JK, Christofferson RC, Wesson DM, Hyman JM, Mores CN. (2014). Towards an early warning system for forecasting human west nile virus incidence. PLoS currents, (6)

Justin Davis, Marianna Pensky. (2014). Model Selection for Classification with a Large Number of Classes. Proceedings in Mathematics and Statistics

Robin Moudy, Sarah Michaels, Samuel Jameson, Berlin Londono, Velma Lopez, Kevin Caillouët, Camden Hallmark, Justin Davis, Ivo Foppa, Patricia Dorn, Dawn Wesson. (2014). Factors Associated With Peridomestic Triatoma sanguisuga (Hemiptera: Reduviidae) Presence in Southeastern Louisiana. Journal of Medical Entomology, 51(5)

Justin Davis, Marianna Pensky, William Crampton. (2011). Bayesian feature selection for classification with possibly large number of classes. Journal of Statistical Planning and Inference, 141(9)

Matthew Arnegard, Peter McIntyre, Luke Harmon, Miriam Zelditch, William Crampton, Justin Davis, John Sullivan, Sebastien Lavoué, Carl Hopkins. (2010). Sexual Signal Evolution Outpaces Ecological Divergence during Electric Fish Species Radiation. The American Naturalist, 176(3)

William G. R. Crampton, Justin K. Davis, Nathan R. Lovejoy, Marianna Pensky. (2008). Multivariate classification of animal communication signals: A simulation-based comparison of alternative signal processing procedures using electric fishes. Journal of Physiology-Paris, 102(4-6)

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