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_11
Snippet: where is the total population in the community, and β(t) is the baseline infectious contact rate, which is assumed to vary with time in general, but typically taken fixed. Additionally, η accounts for the relative infectiousness of asymptomatic carriers (in comparison to symptomatic carriers), σ is the transition rate from the exposed to infectious class (so 1/σ is the disease incubation period), α is the fraction of cases that are symptomat.....
Document: where is the total population in the community, and β(t) is the baseline infectious contact rate, which is assumed to vary with time in general, but typically taken fixed. Additionally, η accounts for the relative infectiousness of asymptomatic carriers (in comparison to symptomatic carriers), σ is the transition rate from the exposed to infectious class (so 1/σ is the disease incubation period), α is the fraction of cases that are symptomatic, ϕ is the rate at which symptomatic individuals are hospitalized, δ is the disease-induced death rate, and γ A , γ I and γ H are recovery rates for the subscripted population. We suppose hospitalized persons are not exposed to the general population. Thus, they are excluded from the tabulation of N , and do not contribute to infection rates in the general community. This general modeling framework is similar to a variety of SEIR-style models recently employed in [38, 39] , for example.
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