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Titlebook: Mathematics of Public Health; Proceedings of the S V. Kumar Murty,Jianhong Wu Book 2022 Springer Nature Switzerland AG 2022 Fields math mod

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COVID-19 in Ontario: Modelling the Pandemic by Age Groups Incorporating Preventative Rapid-Testing,from February 14 to October 5, 2020, by fitting an ordinary differential equations (ODE) system describing COVID-19 transmission to Ontario Public Health case data. We apply this model to estimate the effects of preventative measures (social distancing, mask-wearing, etc.) on age-stratified contact
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Generalized Additive Models to Capture the Death Rates in Canada COVID-19,s in the absence of direct statistically based measurement of infection rates. By examining the death rates of Canada in general and Quebec, Ontario and Alberta in particular, that there are substantial overdispersion relative to the Poisson so that the negative binomial distribution is an appropria
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The Effect of Heterogeneity in Social Distancing on the Infection Peak for COVID-19,calculated analytically. Numercial simulations were performed for the case of two subgroups: one group that does social distancing and one that doesn’t. The number of contacts for the social distancing group was varied, while keeping . fixed (by changing the relative sizes of the two groups). The pe
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,Don’t Wait, Re-escalate: Delayed Action Results in Longer Duration of COVID-19 Restrictions,nterventions are sufficient to reduce infection prevalence, we use a simple linear Susceptible-Infected-Recovered (SIR) model with case importation to determine the relationship between the timing of restrictions, duration of measures necessary to return the incidence to a set point, and the final s
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