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Deciphering the transmission dynamics of COVID-19 in India: optimal control and cost effective analysis.
Bajiya, Vijay Pal; Bugalia, Sarita; Tripathi, Jai Prakash; Martcheva, Maia.
  • Bajiya VP; Department of Mathematics, Central University of Rajasthan, Ajmer, Rajasthan, India.
  • Bugalia S; Department of Mathematics, Central University of Rajasthan, Ajmer, Rajasthan, India.
  • Tripathi JP; Department of Mathematics, Central University of Rajasthan, Ajmer, Rajasthan, India.
  • Martcheva M; Department of Mathematics, University of Florida, Gainesville, FL, USA.
J Biol Dyn ; 16(1): 665-712, 2022 12.
Article in English | MEDLINE | ID: covidwho-2028933
ABSTRACT
In this paper we assess the effectiveness of different non-pharmaceutical interventions (NPIs) against COVID-19 utilizing a compartmental model. The local asymptotic stability of equilibria (disease-free and endemic) in terms of the basic reproduction number have been determined. We find that the system undergoes a backward bifurcation in the case of imperfect quarantine. The parameters of the model have been estimated from the total confirmed cases of COVID-19 in India. Sensitivity analysis of the basic reproduction number has been performed. The findings also suggest that effectiveness of face masks plays a significant role in reducing the COVID-19 prevalence in India. Optimal control problem with several control strategies has been investigated. We find that the intervention strategies including implementation of lockdown, social distancing, and awareness only, has the highest cost-effectiveness in controlling the infection. This combined strategy also has the least value of average cost-effectiveness ratio (ACER) and associated cost.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: 17513758.2022.2116493

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: 17513758.2022.2116493