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UNDERSTANDING THE IMPACT OF VACCINATION ON COVID-19 IN INDIA USING TIME-INTERRUPTED SPATIAL PANEL DATA MODELS
Keywords:
COVID-19, spatial effects, spatial panel data models, time interrupted models, vaccination.DOI:
https://doi.org/10.17654/0973514322026Abstract
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 $(\rho=0.4057 ; \quad p<0.01$ and $\rho=0.3132 ; \quad p<0.01)$ 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.
Received: July 24, 2022
Revised: August 17, 2022
Accepted: October 7, 2022
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