Optimal Control applied to a SEIR model of 2019-nCoV with social distancing
Mallela, A.
Show abstract
Does the implementation of social distancing measures have merit in controlling the spread of the novel coronavirus? In this study, we develop a mathematical model to explore the effects of social distancing on new disease infections. Mathematical analyses of our model indicate that successful eradication of the disease is strongly dependent on the chosen preventive measure. Numerical computations of the model solution demonstrate that the ability to flatten the curve becomes easier as social distancing is strictly enforced. Based on our model, we also formulate an optimal control problem and solve it using Pontryagins Maximum Principle and an efficient numerical iterative method. Our numerical results of an optimal 2019-nCoV treatment protocol that yields a minimum disease burden from this disease indicates that social distancing is vitally important.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Adding a reaction-restoration type transmission rate dynamic law to the basic SEIR COVID-19 model 96%
- Modeling the initial phase of COVID-19 epidemic: The role of age and disease severity in the Basque Country, Spain 96%
- Effect of asymptomatic transmission and emergence time on multi-strain viral disease severity 96%
Similar papers in this journal
- Distribution of Incubation Period of COVID-19 in the Canadian Context: Modeling and Computational Study 97%
- Estimation of COVID-19 recovery and decease periods in Canada using machine learning algorithms 96%
- Ranking the Effectiveness of Non-Pharmaceutical Interventions to Counter COVID-19 in UK Universities with Vaccinated Population 96%
Similar papers in this journal
- Mathematical assessment of the role of waning and boosting immunity against the BA.1 Omicron variant in the United States 96%
- Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty 96%
- Qualitative Optimization of Oncolytic Virotherapy and Immune Therapy Combination Treatments 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.