A General Linear Model Approach to Determine the Effect of Un-lockdown on COVID-19 Pandemic in New Delhi

  • Shaileja Yadav University College of Medical Sciences, Delhi, India.
  • Aditya Athotra National Centre for Disease Control, Delhi, India.
  • Arun Sharma ICMR - National Institute for Implementation Research on Non-Communicable Diseases, Jodhpur, India.
  • Meera Dhuria National Centre for Disease Control, Delhi, India.
  • Monal Ajit Daptardar National Centre for Disease Control, Delhi, India.
  • Simmi Tiwari National Centre for Disease Control, Delhi, India.
  • Anil D Patil National Centre for Disease Control, Delhi, India.
  • SK Jain National Centre for Disease Control, Delhi, India.
  • Jugal Kishore Vardhman Mahavir Medical College and Safdarjung Hospital, Delhi, India.
  • Sujeet K Singh National Centre for Disease Control, Delhi, India.
Keywords: COVID-19, Pandemic, Transmission Coefficient, Lockdown

Abstract

Introduction: As new strains of SARCOV2 virus emerge across the world, it is imperative to investigate measures which restrict the movement of the general population such as social and travel restrictions by lockdowns to mitigate the effects of COVID-19. Thus, our paper helps in two ways: 1) Drastic measures like lockdown are essential but cannot be a feasible long-term intervention. Therefore, it is crucial to understand if the same unlock down can be reversed without compromising public health needs. Our paper provides evidence on the same; and 2) Our report also provides an insight into the trends of disease transmission during different phases of the un-lockdown.

Methods: We examine the spread of pandemic during different phases of Un-lockdown (8th June to 31st October 2020). Since Rt calculation takes into consideration numerous factors, we use β, the transmission coefficient that governs the transition of population from Susceptible to Exposed pool, to examine the effect of public heaThelth interventions on disease spread.

Results: The comparison of the distribution of fitted β values, thus calculated using SEIR model and GLM have been done and a Welch Two Sample t-test suggests that the GLM fitted β and SEIR β data sets are not significantly different from one another.

Conclusion: We provide evidence that un-lockdown can be achieved without increasing the transmission of disease disproportionately. Thus, a phased wise approach to un-lockdown is encouraged. We also provide the rationale for using β over Rt values to specifically assess the effect of public health interventions designed to decrease exposure.

How to cite this article:
Yadav S, Athotra A, Sharma A, Dhuria M, Daptardar MA, Tiwari S, Patil AD, Jain SK, Kishore J, Singh SK. A General Linear Model Approach to Determine the Effect of Un-lockdown on COVID-19 Pandemic in New Delhi. Special Issue - COVID-19 & Other Communicable Disease. 2022;15-23.

DOI: https://doi.org/10.24321/0019.5138.202203

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Published
2022-03-15

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