Author: Steffen E. Eikenberry; Marina Mancuso; Enahoro Iboi; Tin Phan; Keenan Eikenberry; Yang Kuang; Eric Kostelich; Abba B. Gumel
Title: To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic Document date: 2020_4_11
ID: 28utunid_10
Snippet: We use a deterministic susceptible, exposed, symptomatic infectious, hospitalized, asymptomatic infectious, and recovered modeling framework, with these classes respectively denoted S(t), E(t), I(t), H(t), A(t), and R(t); we also include D(t) to track cumulative deaths. We assume that some fraction of detected infectious individuals progress to the hospitalized class, H(t), where they are unable to pass the disease to the general public; we suppo.....
Document: We use a deterministic susceptible, exposed, symptomatic infectious, hospitalized, asymptomatic infectious, and recovered modeling framework, with these classes respectively denoted S(t), E(t), I(t), H(t), A(t), and R(t); we also include D(t) to track cumulative deaths. We assume that some fraction of detected infectious individuals progress to the hospitalized class, H(t), where they are unable to pass the disease to the general public; we suppose that some fraction of hospitalized patients ultimately require critical care (and may die) [35] , but do not explicitly disaggregate, for example, ICU and non-ICU patients. Based on these assumptions and simplifications, the basic model for the transmission dynamics of COVID-19 is given by the following deterministic system of nonlinear differential equations:
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