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Optimal control strategies on COVID-19 infection to bolster the efficacy of vaccination in India.
Rajput, Ashutosh; Sajid, Mohammad; Shekhar, Chandra; Aggarwal, Rajiv.
  • Rajput A; Department of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
  • Sajid M; DBC i4 Centre, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
  • Tanvi; Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah, Al Qassim, Saudi Arabia.
  • Shekhar C; Department of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
  • Aggarwal R; DBC i4 Centre, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
Sci Rep ; 11(1): 20124, 2021 10 11.
Article in English | MEDLINE | ID: covidwho-1462024
ABSTRACT
The Novel Coronavirus which emerged in India on January/30/2020 has become a catastrophe to the country on the basis of health and economy. Due to rapid variations in the transmission of COVID-19, an accurate prediction to determine the long term effects is infeasible. This paper has introduced a nonlinear mathematical model to interpret the transmission dynamics of COVID-19 infection along with providing vaccination in the precedence. To minimize the level of infection and treatment burden, the optimal control strategies are carried out by using the Pontryagin's Maximum Principle. The data validation has been done by correlating the estimated number of infectives with the real data of India for the month of March/2021. Corresponding to the model, the basic reproduction number [Formula see text] is introduced to understand the transmission dynamics of COVID-19. To justify the significance of parameters we determined the sensitivity analysis of [Formula see text] using the parameters value. In the numerical simulations, we concluded that reducing [Formula see text] below unity is not sufficient enough to eradicate the COVID-19 disease and thus, it is required to increase the vaccination rate and its efficacy by motivating individuals to take precautionary measures.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Disease Control / Pandemics / COVID-19 Vaccines / COVID-19 / Models, Biological Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99088-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Disease Control / Pandemics / COVID-19 Vaccines / COVID-19 / Models, Biological Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-99088-0