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  1. U of G Homepage
  2. Edward Thommes

Edward Thommes

Edward Thommes

Adjunct Professor

College of Computational, Mathematical and Physical Sciences, Department of Mathematics & Statistics

Email:ethommes@uoguelph.ca
Research Website

Research Areas

  • infectious disease modeling
  • Epidemiology
  • Dynamical systems
  • Biomathematics
  • AI and machine learning
Edward W. Thommes is an Adjunct Professor of Mathematics. He is a Global Modeling Lead in the Modeling, Epidemiology and Data Science (MEDS) team of Sanofi Vaccines, an Affiliate Researcher in the Waterloo Institute for Complexity and Innovation (WICI), and a member of the Strategic Advisory Committee for the Mathematics for Public Health program at the Fields Institute.

Interests

  • dynamical systems
  • biomathematics and infectious disease modeling
  • epidemiology
  • AI and machine learning

Education

  • B.Sc. Physics, University of Alberta (1994)
  • Ph.D. Astrophysics, Queen's University (2000)

Recent Publications

  • Mahmud, S.M., Xu, L., Hall, L.L., Puckrein, G., Thommes, E., Loiacono, M.M. and Chit, A., 2021. Effect of race and ethnicity on influenza vaccine uptake among older US Medicare beneficiaries: a record-linkage cohort study. The Lancet Healthy Longevity, 2(3), pp.e143-e153. Link
  • Fields, R., Humphrey, L., Flynn-Primrose, D., Mohammadi, Z., Nahirniak, M., Thommes, E.W. and Cojocaru, M.G., 2021. Age-stratified transmission model of COVID-19 in Ontario with human mobility during pandemic's first wave. Heliyon, 7(9), p.e07905. Link
  • Okoli, G.N., Reddy, V.K., Lam, O.L., Abdulwahid, T., Askin, N., Thommes, E., Chit, A., Abou-Setta, A.M. and Mahmud, S.M., 2021. Interventions on health care providers to improve seasonal influenza vaccination rates among patients: a systematic review and meta-analysis of the evidence since 2000. Family Practice. Link
  • Net, P., Colrat, F., Costa, M.N., Bianic, F., Thommes, E. and Alvarez, F.P., 2021. Estimating public health and economic benefits along 10 years of Fluzone® High Dose in the United States. Vaccine, 39, pp.A56-A69. Link
  • Penney, M.D., Yargic, Y., Smolin, L., Thommes, E.W., Anand, M. and Bauch, C.T., 2021. “Hot-spotting” to improve vaccine allocation by harnessing digital contact tracing technology: An application of percolation theory. Plos one, 16(9), p.e0256889. Link
  • Coudeville, L., Gomez, G.B., Jollivet, O., Harris, R.C., Thommes, E., Druelles, S., Chit, A., Chaves, S.S. and Mahé, C., 2020. Exploring uncertainty and risk in the accelerated response to a COVID-19 vaccine: Perspective from the pharmaceutical industry. Vaccine. Link
  • Humphrey, L., Thommes, E.W., Fields, R., Coudeville, L., Hakim, N., Chit, A., Wu, J. and Cojocaru, M.G., 2021. Large-scale frequent testing and tracing to supplement control of Covid-19 and vaccination rollout constrained by supply. Infectious Disease Modelling, 6, pp.955-974. Link

Other Publications: https://scholar.google.com/citations?user=v5niLjcAAAAJ&hl=en