Staff Member
Dr. Riley O Mummah
Post Doc
Email: rmummah@usgs.gov
Email: rmummah@usgs.gov
Education
- Ph D University of California, Los Angeles 2021
- MS University of California, Los Angeles 2020
- MS The Pennsylvania State University 2016
- BS The Pennsylvania State University 2016
- BS The Pennsylvania State University 2016
- BS The Pennsylvania State University 2016
Research Publications | Publication Date |
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Sura, S. A., Smith, L. L., Ambrose, M. R., Amorim, C. E. G., Beichman, A. C., Gomez, A. C. R., Juhn, M., Kandlikar, G. S., Miller, J. S., Mooney, J., Mummah, R. O., Lohmueller, K. E., & Lloyd-Smith, J. O. (2019). Ten simple rules for giving an effective academic job talk. PLOS Computational Biology, 15(7), e1007163. https://doi.org/10.1371/journal.pcbi.1007163 | July 2019 |
Mummah, R. O., Hoff, N. A., Rimoin, A. W., & Lloyd-Smith, J. O. (2020). Controlling emerging zoonoses at the animal-human interface. One Health Outlook, 2(1), 17. https://doi.org/10.1186/s42522-020-00024-5 | September 2020 |
Li, S.-L., Bjørnstad, O. N., Ferrari, M. J., Mummah, R., Runge, M. C., Fonnesbeck, C. J., Tildesley, M. J., Probert, W. J. M., & Shea, K. (2017). Essential information: Uncertainty and optimal control of Ebola outbreaks. Proceedings of the National Academy of Sciences, 114(22), 5659–5664. https://doi.org/10.1073/pnas.1617482114 | May 2017 |
Helman, S. K., Mummah, R. O., Gostic, K. M., Buhnerkempe, M. G., Prager, K. C., & Lloyd‐Smith, J. O. (2020). Estimating prevalence and test accuracy in disease ecology: How Bayesian latent class analysis can boost or bias imperfect test results. Ecology and Evolution, 10(14), 7221–7232. https://doi.org/10.1002/ece3.6448 | March 2020 |
Griffin, C., Mummah, R., & deForest, R. (2021). A finite population destroys a traveling wave in spatial replicator dynamics. Chaos, Solitons & Fractals, 146, 110847. https://doi.org/10.1016/j.chaos.2021.110847 | May 2021 |
Gostic, K., Gomez, A. C., Mummah, R. O., Kucharski, A. J., & Lloyd-Smith, J. O. (2020). Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19. ELife, 9, e55570. https://doi.org/10.7554/eLife.55570 | February 2020 |