Alex Perkins Eck Family Assistant Professor

Infectious disease epidemiology and population biology
Alex Perkins

Research Interests:

Research in the Perkins Lab applies mathematical, computational, and statistical approaches to better understand the dynamics of infectious disease transmission and control. Ongoing work is focused on dengue, malaria, chikungunya, and other diseases caused by mosquito-borne pathogens. These diseases are particularly interesting because of the complex ecology and epidemiology of the human and natural systems in which their pathogens are transmitted, and because of their critical and growing importance for global health. Some of the major themes of our ongoing research on these diseases include: (1) assessing the feasibility of targeted control and statistical limitations thereof; (2) developing and applying novel algorithms for inferring malaria transmission networks based jointly on epidemiological and parasite genetic data; and (3) using models to inform the design, analysis, and extrapolation of results from clinical trials of novel interventions.



  • Eck Family Assistant Professor, University of Notre Dame 2014-Present
  • Concurrent Assistant Professor of Applied and Computational Mathematics and Statistics, University of Notre Dame 2015-Present
  • RAPIDD Postdoctoral Fellow, NIH Fogarty International Center and University of California, Davis 2011-2014
  • Ph.D. Population Biology, University of California, Davis 2011
  • B.A. Computational Ecology, University of Tennessee, Knoxville 2006


Recent Papers:

  • Perkins, T.A. (2017) Retracing Zika’s footsteps across the Americas with computational modeling. Proceedings of the National Academy of Sciences doi:10.1073/pnas.1620161114.
  • Flasche, S.*, Jit, M.*, Rodriguez-Barraquer, I.*, Coudeville, L.*, Recker, M.*, Koelle, K.*, Milne, G.*, Hladish, T.*, Perkins, T.A.*, Dorigatti, I., Cummings, D.A.T., Espana, G., Kelso, J., Longini, I., Lourenco, J., Pearson, C., Reiner, R.C., Ferguson, N.M. (2016) The long-term safety, public health impact, and cost-effectiveness of a routine vaccination with a recombinant, live-attenuated dengue vaccine (Dengvaxia): a model comparison study. PLOS Medicine 13:e1002181. * denotes equal contributions
  • Huber, J.H., G. Johnston, B. Greenhouse, D.L. Smith, T.A. Perkins. (2016) Quantitative, model-based estimates of variability in the generation and serial intervals of Plasmodium falciparum malaria. Malaria Journal. 15:490.
  • Perkins, T.A., A.S. Siraj, C. Warren Ruktonanchai, M.U.G. Kraemer, A.J. Tatem. (2016) Model-based projections of Zika virus infections in childbearing women in the Americas. Nature Microbiology 1:16216.
  • Perkins, T.A., V. Paz Soldan, S.T. Stoddard, A.C. Morrison, B.M. Forshey, K.C. Long, J. Elder, U. Kitron, T.W. Scott, G.M. Vazquez-Prokopec. (2016) Calling in sick: impacts of fever on human mobility in an urban environment. Proceedings of the Royal Society B 283:20160390.
  • Vazquez-Prokopec, G.M., T.A. Perkins, L. Waller, A. Lloyd, R.C. Reiner, T.W. Scott, U. Kitron. (2016) Coupled heterogeneities and their impact on parasite transmission and control. Trends in Parasitology 32:356-367.
  • Kraemer, M.U.G., T.A. Perkins, D.A.T. Cummings, R. Zakar, S.I. Hay, D.L. Smith, R.C. Reiner. (2015) Big city, small world: density, contact rates, and transmission of dengue across Pakistan. Journal of the Royal Society Interface 12:20150468.
  • Lai, S., Z.Huang, H. Zhou, K.L. Anders, T.A. Perkins, W. Yin, Y. Li, D. Mu, Q. Chen, Z. Zhang, Y. Qiu, L. Wang, H. Zhang, L. Zeng, X. Ren, M. Geng, Z. Li, A.J. Tatem, S.I. Hay, H. Yu. (2015) The changing epidemiology of dengue in China, 1990-2014: a descriptive analysis of 25 years of nationwide surveillance data. BMC Medicine 13:100.
  • Perkins, T.A., C.J.E. Metcalf, B.T. Grenfell, A.J. Tatem. (2015) Estimating drivers of autochthonous transmission of chikungunya virus in its invasion of the Americas. PLOS Currents Outbreaks 2015 Feb 10.