List of Publications

Recent Books and Edited Volumes

  • Bonduriansky, R. and T. Day. 2018 Extended Heredity: A New Understanding of Inheritance and Evolution. Princeton University Press
  • Stewart, James and T. Day. 2015. Biocalculus: Calculus for the Life Sciences. Cengage Learning.
  • Stewart, James and T. Day. 2016. Biocalculus: Calculus, Probability, and Statistics for the Life Sciences. Cengage Learning.
  • Otto, S.P. and T. Day. 2007. A Biologist's Guide to Mathematical Modeling. Princeton University Press.
  • Day, T., A. Galvani, C. Struichner, and A. Gumel (eds.). 2008. The evolutionary consequences of vaccination. A special supplement of Vaccine (Volume 26 S3)
  • Day, T. and S.C. Stearns (eds.). 2009. Evolutionary medicine. A special issue of Evolutionary Applications (Volume 2).

Recent Book Chapters

  • Day, T. 2016. Information entropy as a measure of genetic diversity and evolvability in colonization. In Invasion Genetics: The Baker and Stebbins Legacy. Eds. S.C.H. Barrett, R.I. Colautti, K.M. Dlugosch, and L.H. Rieseberg, Wiley
  • Day, T. 2005. Modeling the ecological context of evolutionary change: déjà vu or something new? in Ecological Paradigms Lost: Routes to Theory Change, Eds. Kim Cuddington and Beatrix E. Beisner. Academic Press
  • Day, T. and S. Gandon. 2005. Insights from Price's equation into evolutionary epidemiology. in Disease Evolution: Models, Concepts, and Data Analysis. Eds Feng, Dieckmann, and Levin. in press [Reprint (PDF 251KB)]
  • Day, T. 2009. Mathematical techniques in the evolutionary epidemiology of infectious diseases. in Modeling and dynamics of infectious diseases. Eds. Zhien Ma, Yicang Zhou, and Jianhong Wu. Series in Contemporary Applied Mathematics (Vol. 11). World Scientific Press.

Recent Articles

  • Álvarez-Noriega, M., C.R. White, J. Kozłowski, T. Day, D.J. Marshall. 2023. Life history optimization drives latitudinal gradients and responses to global change in marine fishes. PLoS Biology 21(5): e3002114.
  • Czuppon, P., T. Day, F. Débarre, and F. Blanquart. 2023. A stochastic analysis of the interplay between antibiotic dose, mode of action, and bacterial competition in the evolution of antibiotic resistance. PLoS Computational Biology 19(8): e1011364.
  • Morsky, B., F. Magpantay, T. Day, and E. Akçay. 2023. The impact of threshold decision mechanisms of collective behavior on disease spread. PNAS 120 (19) e2221479120.
  • Cotto, O. and T. Day. 2023. A null model for the distribution of fitness effects of mutations. PNAS 120 (23) e2218200120.
  • Lee, T.M., R.A. Smith, W.A. Nelson, T. Day, and Y. Sato. 2023. No life-history cost of tebufenozide resistance in the smaller tea tortrix moth. Pest Management Science 79(7):2581-2590
  • Day, T., D.A. Kennedy, A.F. Read, S. Gandon. 2022. Pathogen evolution during vaccination campaigns. PLOS Biology 20(9): e3001804.
  • Ontario Science Advisory Table for COVID-19. 2021. Rapid antigen tests for voluntary screen testing. 
  • O. Cotto, M.R. Servedio, and T. Day. 2021. The evolution of age-specific choosiness and reproductive isolation in a model with overlapping generations. Evolution 76:225-235. [Reprint (PDF 664KB)]
  • Day T, Kennedy DA, Read AF, McAdams D (2021) The economics of managing evolution. PLoS Biol 19(11): e3001409. [Reprint (PDF 881KB)]
  • Forsythe, A.B., T. Day, W.A. Nelson. 2021. Demystifying individual heterogeneity. Ecology Letters. 24: 2282-2297. [Reprint]
  • Otto, S.P., T. Day, J. Arino, C. Colijn, J. Dushoff, M. Li, S. Mechai, G. Van Domselaar, J. Wu, D.J.D. Earn, N.H. Ogden. 2021. The origins and potential future of SARS-CoV-2 variants of concern in the evolving COVID-19 pandemic. Current Biology. 31: R918-R929. [Reprint (PDF 623KB)]
  • Cotto, O. and T. Day. 2021. The evolution of age-specific choosiness when mating. Journal of Evolutionary Biology. 34: 477-485. [Reprint (PDF 630KB)]