2025, Vol. 10, Issue 2, Part B
Use of binary logistic regression in prediction of chance of COVID-19 after first vaccination
Author(s): Prakash Rajaram Chavan and MH Lohgaonkar
Abstract: The goal of present research was to predict the COVID-19
infection after first dose of vaccine. The study was carried out among 306
peoples in Khanapur Tehsil. To analyze data, we applied binary logistic
regression model. Result indicates that, age of person increases, the chance of
having infection of COVID-19 disease increases. The COVAXIN is more efficient
than COVISHIELD.
Pages: 110-114 | Views: 85 | Downloads: 12Download Full Article: Click Here
How to cite this article:
Prakash Rajaram Chavan, MH Lohgaonkar. Use of binary logistic regression in prediction of chance of COVID-19 after first vaccination. Int J Stat Appl Math 2025;10(2):110-114.
