COVID-19 is the biggest threat to the life of humankind around the globe. Vaccination became an important protective system against COVID-19 infection. The geographical aspect is an important factor in infection spreading. This study explores the effect of the vaccination on COVID-19 in India using the estimate of the spatial effects. Since the distribution of vaccination started in the middle of study period, time-interrupted spatial panel models were used. SDM model was selected as the best one. The spatial effect coefficients are statistically significant in SDM models (ρ = 0.4057; p < 0.01 and ρ = 0.3132; p < 0.01) and the spillover effect of second dose vaccination rate is statistically significant on both confirmed rate and deceased rate. The vaccination has a significant negative impact on deceased rate. There is a clear evidence for the requirement of second dose vaccination.

COVID-19, spatial effects, spatial panel data models, time interrupted models, vaccination.

Received: July 24, 2022; Revised: August 17, 2022; Accepted: October 7, 2022; Published: December 9, 2022

How to cite this article: J. Prem Antony and T. Edwin Prabakaran, Understanding the impact of vaccination on COVID-19 in India using time-interrupted spatial panel data models, JP Journal of Biostatistics 22 (2022), 11-24. http://dx.doi.org/10.17654/0973514322026

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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