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2021 | OriginalPaper | Chapter

7. Effective Lockdown and Plasma Therapy for COVID-19

Authors : Nita H. Shah, Nisha Sheoran, Ekta N. Jayswal

Published in: Mathematical Analysis for Transmission of COVID-19

Publisher: Springer Singapore

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Abstract

COVID-19 is a major pandemic threat of 2019–2020 which originated in Wuhan. As of now, no specific anti-viral medication is available. Therefore, many countries in the world are fighting to control the spread by various means. In this chapter, we model COVID-19 scenario by considering compartmental model. The set of dynamical system of nonlinear differential equation is formulated. Basic reproduction number \(R_{0}\) is computed for this dynamical system. Endemic equilibrium point is calculated and local stability for this point is established using Routh-Hurwitz criterion. As COVID-19 has affected more than 180 countries in several ways like medically, economy, etc. It necessitates the effect of control strategies applied by various government worldwide to be analysed. For this, we introduce different types of time dependent controls (which are government rules or social, medical interventions) in-order to control the exposure of COVID-19 and to increase recovery rate of the disease. By using Pontryagins maximum principle, we derive necessary optimal conditions which depicts the importance of these controls applied by the government during this epidemic.

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Literature
2.
go back to reference Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J. (2020). Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. Journal of Clinical Medicine, 9(2), 462.CrossRef Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J. (2020). Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. Journal of Clinical Medicine, 9(2), 462.CrossRef
3.
go back to reference World Health Organization. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19—11 March 2020. Geneva, Switzerland: World Health Organization. World Health Organization. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19—11 March 2020. Geneva, Switzerland: World Health Organization.
4.
go back to reference Kucharski, A. J., Russell, T. W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., et al. (2020). Early dynamics of transmission and control of COVID-19: A mathematical modelling study. The Lancet Infectious Diseases. Kucharski, A. J., Russell, T. W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., et al. (2020). Early dynamics of transmission and control of COVID-19: A mathematical modelling study. The Lancet Infectious Diseases.
5.
go back to reference Prem, K., Liu, Y., Russell, T. W., Kucharski, A. J., Eggo, R. M., Davies, N., et al. (2020). The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: A modelling study. The Lancet Public Health. Prem, K., Liu, Y., Russell, T. W., Kucharski, A. J., Eggo, R. M., Davies, N., et al. (2020). The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: A modelling study. The Lancet Public Health.
6.
go back to reference Mueller, M., Derlet, P. M., Mudry, C., & Aeppli, G. (2020). Using random testing to manage a safe exit from the COVID-19 lockdown. arXiv preprint arXiv:2004.04614. Mueller, M., Derlet, P. M., Mudry, C., & Aeppli, G. (2020). Using random testing to manage a safe exit from the COVID-19 lockdown. arXiv preprint arXiv:​2004.​04614.
7.
go back to reference Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., et al. (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health. Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., et al. (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health.
8.
9.
go back to reference Peng, L., Yang, W., Zhang, D., Zhuge, C., & Hong, L. (2020). Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv preprint arXiv:2002.06563. Peng, L., Yang, W., Zhang, D., Zhuge, C., & Hong, L. (2020). Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv preprint arXiv:​2002.​06563.
10.
go back to reference Tang, Z., Li, X., & Li, H. (2020). Prediction of new coronavirus infection based on a modified SEIR model. medRxiv. Tang, Z., Li, X., & Li, H. (2020). Prediction of new coronavirus infection based on a modified SEIR model. medRxiv.
11.
go back to reference Piguillem, F., & Shi, L. (2020). The optimal COVID-19 quarantine and testing policies (No. 2004). Einaudi Institute for Economics and Finance (EIEF). Piguillem, F., & Shi, L. (2020). The optimal COVID-19 quarantine and testing policies (No. 2004). Einaudi Institute for Economics and Finance (EIEF).
12.
go back to reference Sun, P., Lu, X., Xu, C., Sun, W., & Pan, B. (2020). Understanding of COVID-19 based on current evidence. Journal of Medical Virology, 92(6), 548–551.CrossRef Sun, P., Lu, X., Xu, C., Sun, W., & Pan, B. (2020). Understanding of COVID-19 based on current evidence. Journal of Medical Virology, 92(6), 548–551.CrossRef
13.
go back to reference Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., et al. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400.CrossRef Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., et al. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400.CrossRef
14.
go back to reference Zhao, S., & Chen, H. (2020). Modeling the epidemic dynamics and control of COVID-19 outbreak in China. Quantitative Biology, 1–9. Zhao, S., & Chen, H. (2020). Modeling the epidemic dynamics and control of COVID-19 outbreak in China. Quantitative Biology, 1–9.
15.
go back to reference Xu, T., Chen, C., Zhu, Z., Cui, M., Chen, C., Dai, H., & Xue, Y. (2020). Clinical features and dynamics of viral load in imported and non-imported patients with COVID-19. International Journal of Infectious Diseases. Xu, T., Chen, C., Zhu, Z., Cui, M., Chen, C., Dai, H., & Xue, Y. (2020). Clinical features and dynamics of viral load in imported and non-imported patients with COVID-19. International Journal of Infectious Diseases.
16.
go back to reference Yang, C., & Wang, J. (2020). A mathematical model for the novel coronavirus epidemic in Wuhan, China. Mathematical Biosciences and Engineering, 17(3), 2708–2724.MathSciNetCrossRef Yang, C., & Wang, J. (2020). A mathematical model for the novel coronavirus epidemic in Wuhan, China. Mathematical Biosciences and Engineering, 17(3), 2708–2724.MathSciNetCrossRef
17.
go back to reference Pontryagin, L. S. (2018). Mathematical theory of optimal processes. Routledge. Pontryagin, L. S. (2018). Mathematical theory of optimal processes. Routledge.
18.
go back to reference Sharomi, O., & Malik, T. (2017). Optimal control in epidemiology. Annals of Operations Research, 251(1–2), 55–71.MathSciNetCrossRef Sharomi, O., & Malik, T. (2017). Optimal control in epidemiology. Annals of Operations Research, 251(1–2), 55–71.MathSciNetCrossRef
19.
go back to reference Lemos-Paião, A. P., Silva, C. J., & Torres, D. F. (2017). An epidemic model for cholera with optimal control treatment. Journal of Computational and Applied Mathematics, 318, 168–180.MathSciNetCrossRef Lemos-Paião, A. P., Silva, C. J., & Torres, D. F. (2017). An epidemic model for cholera with optimal control treatment. Journal of Computational and Applied Mathematics, 318, 168–180.MathSciNetCrossRef
20.
go back to reference Tilahun, G. T., Makinde, O. D., & Malonza, D. (2017). Modelling and optimal control of pneumonia disease with cost-effective strategies. Journal of Biological Dynamics, 11(sup2), 400–426.MathSciNetCrossRef Tilahun, G. T., Makinde, O. D., & Malonza, D. (2017). Modelling and optimal control of pneumonia disease with cost-effective strategies. Journal of Biological Dynamics, 11(sup2), 400–426.MathSciNetCrossRef
21.
go back to reference Djidjou-Demasse, R., Michalakis, Y., Choisy, M., Sofonea, M. T., & Alizon, S. (2020). Optimal COVID-19 epidemic control until vaccine deployment. medRxiv. Djidjou-Demasse, R., Michalakis, Y., Choisy, M., Sofonea, M. T., & Alizon, S. (2020). Optimal COVID-19 epidemic control until vaccine deployment. medRxiv.
22.
go back to reference Mallela, A. (2020). Optimal Control applied to a SEIR model of 2019-nCoV with social distancing. medRxiv. Mallela, A. (2020). Optimal Control applied to a SEIR model of 2019-nCoV with social distancing. medRxiv.
23.
go back to reference Tsay, C., Lejarza, F., Stadtherr, M. A., & Baldea, M. (2020). Modeling, state estimation, and optimal control for the US COVID-19 outbreak. arXiv preprint arXiv:2004.06291. Tsay, C., Lejarza, F., Stadtherr, M. A., & Baldea, M. (2020). Modeling, state estimation, and optimal control for the US COVID-19 outbreak. arXiv preprint arXiv:​2004.​06291.
24.
go back to reference Diekmann, O., Heesterbeek, J. A. P., & Roberts, M. G. (2010). The construction of next-generation matrices for compartmental epidemic models. Journal of the Royal Society Interface, 7(47), 873–885.CrossRef Diekmann, O., Heesterbeek, J. A. P., & Roberts, M. G. (2010). The construction of next-generation matrices for compartmental epidemic models. Journal of the Royal Society Interface, 7(47), 873–885.CrossRef
25.
go back to reference Routh, E. J. (1877). A treatise on the stability of a given state of motion: Particularly steady motion. Macmillan and Company. Routh, E. J. (1877). A treatise on the stability of a given state of motion: Particularly steady motion. Macmillan and Company.
26.
go back to reference Fleming, W. H., & Rishel, R. W. (2012). Deterministic and stochastic optimal control (Vol. 1). Springer Science & Business Media. Fleming, W. H., & Rishel, R. W. (2012). Deterministic and stochastic optimal control (Vol. 1). Springer Science & Business Media.
Metadata
Title
Effective Lockdown and Plasma Therapy for COVID-19
Authors
Nita H. Shah
Nisha Sheoran
Ekta N. Jayswal
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-6264-2_7

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