The 2019 Novel Corona virus infection ( COVID-19 ) is an ongoing public health emergency of international focus. Significant gaps persist in our knowledge of COVID-19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly because of) the fact that the outbreak is an unprecedented global threat. On the positive side, enough is currently known about the epidemic process to permit the construction of mathematical predictive models. We construct and analyze here one first step: that of adapting a traditional SEIR epidemic model to the specific dynamic compartments and epidemic parameters of COVID-19 , as it spreads in an age-heterogeneous community. We analyze the current management strategy of the epidemic course ( travel bans, service closures and interruptions, social distancing) . We generate predictions, and assess the efficiency of these control measures , in the context in which their sustainability is currently being questioned .
The 2019 Novel Corona virus infection ( COVID 19 ) is an ongoing public health emergency of international focus. Significant gaps persist in our knowledge of COVID 19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly because of) the fact that the outbreak is an unprecedented global threat. On the positive side, enough is currently known about the epidemic process to permit the construction of mathematical predictive models. In our work, we adapt a traditional SEIR epidemic model to the specific dynamic compartments and epidemic parameters of COVID 19 , as it spreads in an age-heterogeneous community. We analyze management strategies of the epidemic course ( as they were implemented through lockdown and reopening procedures in many of the US states and countries worldwide); however, to more clearly illustrate ideas, we focus on the example of a small scale college town community, with the timeline of control measures introduced in the state of New York . We generate predictions, and assess the efficiency of these control measures (closures, mobility restrictions, social distancing), in a sustainability context .
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COVID-19
COVID 19
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COVID-19
COVID 19
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We construct and analyze here one first step: that of adapting
In our work, we adapt
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COVID-19
COVID 19
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the current management strategy
management strategies
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travel bans, service closures and interruptions, social distancing)
as they were implemented through lockdown and reopening procedures in many of the US states and countries worldwide); however, to more clearly illustrate ideas, we focus on the example of a small scale college town community, with the timeline of control measures introduced in the state of New York
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, in the context in which their sustainability is currently being questioned
(closures, mobility restrictions, social distancing), in a sustainability context