Alex Perkins Eck Family Assistant Professor

Infectious disease epidemiology and population biology
Alex Perkins

Research Interests:

Research in the Perkins Lab uses mathematical, computational, and statistical approaches to better understand infectious disease dynamics and control. Ongoing work is focused on dengue, chikungunya, Zika, yellow fever, malaria, and other diseases caused by vector-borne pathogens. These diseases are particularly interesting because of the complex ecology and epidemiology of the human and natural systems in which they occur, and because of their critical and growing importance for global health. Major themes of research in my lab include: (1) spatiotemporal dynamics of pathogen transmission and infectious disease incidence; (2) model-guided assessment of interventions for infectious disease prevention; and (3) infectious disease dynamics in the context of global change.



  • 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


Selected Recent Papers:

  • Moore, S.M., Q.A. ten Bosch, A.S. Siraj, K.J. Soda, G. Espana, A. Campo, S. Gomez, D. Salas, B. Raybaud, E. Wenger, P. Welkhoff, T.A. Perkins. (2018) Local and regional dynamics of chikungunya virus transmission in Colombia: the role of mismatched spatial heterogeneity. BMC Medicine 16:152.
  • ten Bosch, Q.A., F. Castro-Llanos, H. Manda, A.C. Morrison, J.P. Grieco, N.L. Achee, T.A. Perkins. (2018) Model-based analysis of experimental data from interconnected, row-configured huts elucidates multifaceted effects of a volatile chemical on Aedes aegypti mosquitoes. Parasites and Vectors 11:365.
  • ten Bosch, Q.A., H.E. Clapham, L. Lambrechts, V. Duoung, P. Buchy, B.M. Althouse, A.L. Lloyd, L.A. Waller, A.C. Morrison, U. Kitron, G.M. Vazquez-Prokopec, T.W. Scott, T.A. Perkins. (2018) Contributions from the silent majority dominate dengue virus transmission. PLOS Pathogens 14:e1006965.
  • Siraj, A.S., R.J. Oidtman, J.H. Huber, M.U.G. Kraemer, O.J. Brady, M.A. Johansson, T.A. Perkins. (2017) Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals. PLOS Neglected Tropical Diseases 11:e0005797.
  • 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 Microbiology1:16216.