Empirical distributions of the beginning of Covid-19 pandemics in France, Germany, Italy and Spain fit to the Weibull function for parameters T = 36.496 and b = 1.669. Th...
Abstract:
The objective of our work was to develop a tool to support the process of making strategic decisions about the COVID-19 pandemic by optimizing suppression intervention sc...Show MoreMetadata
Abstract:
The objective of our work was to develop a tool to support the process of making strategic decisions about the COVID-19 pandemic by optimizing suppression intervention schedules. We focus mainly on hard lockdowns that have the effect of containing the spread of the virus and, consequently, minimizing the number of infections and keeping the incidence of COVID-19 at low levels. Properly implemented restrictions can reduce the likelihood of infection and thus push the pandemic back. On the contrary, lifting restrictions results in a sharp increase in likelihood of infection and the development of a pandemic. The model proposed in this paper indicates the optimal moments to implement full lockdown, accounting for both the costs of lockdown and the costs of not applying lockdown.
Empirical distributions of the beginning of Covid-19 pandemics in France, Germany, Italy and Spain fit to the Weibull function for parameters T = 36.496 and b = 1.669. Th...
Published in: IEEE Access ( Volume: 11)
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- IEEE Keywords
- Index Terms
- COVID-19 ,
- Spread Of The Virus ,
- Prediction Model ,
- Objective Function ,
- Social Distancing ,
- Expected Value ,
- Value Function ,
- Scale Parameter ,
- Survival Probability ,
- Probability Function ,
- Non-pharmaceutical Interventions ,
- Basic Reproduction Number ,
- Set Of Characteristics ,
- Chance Of Survival ,
- Weibull Distribution ,
- Consecutive Periods ,
- Total Number Of Deaths ,
- Set Period ,
- Limited Implementation ,
- Planning Horizon ,
- Effectiveness Of Non-pharmaceutical Interventions ,
- Implementation Of Lockdown ,
- Number Of Deaths
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- COVID-19 ,
- Spread Of The Virus ,
- Prediction Model ,
- Objective Function ,
- Social Distancing ,
- Expected Value ,
- Value Function ,
- Scale Parameter ,
- Survival Probability ,
- Probability Function ,
- Non-pharmaceutical Interventions ,
- Basic Reproduction Number ,
- Set Of Characteristics ,
- Chance Of Survival ,
- Weibull Distribution ,
- Consecutive Periods ,
- Total Number Of Deaths ,
- Set Period ,
- Limited Implementation ,
- Planning Horizon ,
- Effectiveness Of Non-pharmaceutical Interventions ,
- Implementation Of Lockdown ,
- Number Of Deaths
- Author Keywords