<p>India is one among all the Asian countries to be strongly hit by the COVID-19 and the Omicron pandemic outbreak. The variant B.1.1.529 infected more than six lakh people worldwide (in February 2022). The weather conditions and the air pollution play a vital role in the transmission of the omicron virus. In this paper, we evaluated how the climate and the air pollution parameters are associated with the omicron transmission in India. The full analytical method that combines Kendall rank correlation as the detection of important features, Gaussian Mixture Modeling (GMM) as the identification of patterns, and Vector AutoRegression (VAR) as the prediction of time-series is proposed. The results in this paper highlight that climate parameter temperature is positively correlated with the omicron transmission and the air pollution parameters PM_2.5 and NO₂ shows a positive correlation. The hybrid framework proposed has a better feature quality score of 0.95, temporal consistency of 0.93, prediction accuracy of 0.96, robustness of 0.92, and overall performance score of 0.94 compared to the conventional feature selection approaches. The results also show that the spread of Omicron is more evident in colder weather conditions with high levels of pollution.</p>