Guido Camargo España Research Assistant Professor

Infectious Disease Epidemiology
Guido Camargo  España

Research Interests:

My research is focused on supporting public health decision making with the use of mathematical and computational models to understand the dynamics of infectious diseases. In particular, I am interested in the evaluation of vaccine impact and vector control in vector-borne diseases, such as dengue, chikungunya, and Zika. I am also interested in estimating the impact of non-pharmaceutical and pharmaceutical interventions on the dynamics of the COVID-19 pandemic.



  • Research Assistant Professor, Department of Biological Sciences, University of Notre Dame, IN 2021-present
  • Indiana CTSI fellow, Department of Biological Sciences, University of Notre Dame, IN 2018-2020
  • Postdoctoral fellow, Department of Biological Sciences, University of Notre Dame, IN 2016-2018
  • Predoctoral fellow, Public Health Dynamics Laboratory, University of Pittsburgh 2013-2015
  • Researcher, Modeling and Control of Biological Systems, School of Electrical Engineering, National University of Colombia 2011-2015
  • Modeling Engineer, School of Public Health, National University of Colombia 2011-2012
  • Ph.D. in Electircal Engineering, National University of Colombia 2015
  • M.Sc. In Engineering, Industrial Automation, National University of Colombia 2012
  • Bachelor of Electronic Engineering, National University of Colombia 2010


Recent Papers:

  • España G., Cavany S., Oidtman R., Barbera C., Costello A., ..., and Perkins T.A. Impacts of K-12 school reopening on the COVID-19 epidemic in Indiana, USA. MedRxiv, 2020.
  • Perkins T.A. and España G. Optimal control of the COVID-19 pandemic with non-pharmaceutical interventions. Bulletin of Mathematical Biology 82(9) 118, 2020. 10.1007/s11538-020-00795-y
  • Perkins T.A.*, Reiner, R.C.*, España G.*, ten Bosch Q.A., et al. An Agent-Based Model of Dengue Virus Transmission Shows How Uncertainty about Breakthrough Infections Influences Vaccination Impact Projections. PLOS Computational Biology, 15(1), 2019. doi:10.1371/journal.pcbi.1006710
  • Cavany, S.M., España G., Lloyd A.L., Waller L.A., Kitron U., Astete H., Elson W.H., Vazquez-Prokopec G.M., Scott T.W., Morrison A.C., Reiner R.C., and Perkins T.A. Optimizing the deployment of ultra-low volume and indoor residual spraying for dengue outbreak response. PLOS Computational Biology, 16(4):e1007743, 2020. doi:10.1371/journal.pcbi.1007743
  • España G., Yao Y., Anderson K.B., Fitzpatrick M.C., Smith D.L., Morrison A.C., Wilder-Smith A., Scott T.W., and Perkins T.A. Model-Based Assessment of Public Health Impact and Cost-Effectiveness
  • España G., Grefenstette J., Perkins A., Torres C., Campo Carey A., Diaz H., de la Hoz F., Burke D., and van Panhuis W. Exploring Scenarios of Chikungunya Mitigation with a Data-Driven Agent-Based Model of the 2014–2016 Outbreak in Colombia. Scientific Reports, 8(12201), 2018. doi:10.1038/s41598-018-30647-8