Effective population size in simple infectious disease models
Author:
Funder
The Federal Government of Canada’s Canada 150 Research Chair program
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s00285-023-02016-1.pdf
Reference27 articles.
1. Anderson RM, May RM (1992) Infectious diseases of humans: dynamics and control. Oxford University Press, Oxford
2. Anderson SC, Edwards AM, Yerlanov M et al (2020) Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing. PLoS Comput Biol. https://doi.org/10.1371/journal.pcbi.1008274
3. Bezanson J, Edelman A, Karpinski S et al (2017) Julia: a fresh approach to numerical computing. SIAM Rev 59(1):65–98. https://doi.org/10.1137/141000671
4. Brauer F (2008) Compartmental models in epidemiology. Math Epidemiol 1945:19–79. https://doi.org/10.1007/978-3-540-78911-6_2
5. Brauer F (2017) Mathematical epidemiology: past, present, and future. Infect Dis Model 2(2):113–127. https://doi.org/10.1016/j.idm.2017.02.001
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