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Transmission of SARS-CoV-2 in Indian states during lockdown: incorporating heterogeneity and non-pharmaceutical interventions

Author

Listed:
  • Rohit Sindhwani
  • Venkataramanaiah Saddikuti
  • Omkarprasad S. Vaidya

Abstract

Early exponential growth of any influenza pandemic is a result of heterogeneous population, where susceptible with high human contact may have spread the disease. The cases of ten worst infected states in India due to SARS-CoV-2 as of 9 June 2020 are modelled to find the number of super-spreaders. We propose the use of model considering heterogeneous population and non-pharmaceutical measures during lockdown considerations from 25 March 2020 to 31 May 2020 for the state-specific transmission dynamics. A fixed sample of population element is measured before the COVID-19 outbreak. The impact of social distancing and personal hygiene through the empirical research is observed. We incorporated the behaviour change in the models. Our results indicate that the vulnerability is high in Bihar, while the conditions in Delhi, UP and West Bengal may deteriorate in the near future. We highlight that policy of testing, social distancing and personal hygiene should be continued.

Suggested Citation

  • Rohit Sindhwani & Venkataramanaiah Saddikuti & Omkarprasad S. Vaidya, 2021. "Transmission of SARS-CoV-2 in Indian states during lockdown: incorporating heterogeneity and non-pharmaceutical interventions," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 23(4), pages 490-521.
    • Handle: RePEc:ids:ijicbm:v:23:y:2021:i:4:p:490-521
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