Modelling and Sensitivity Analysis of COVID-19 Under the Influence of Environmental Pollution

The ongoing COVID-19 pandemic emerged as one of the biggest challenges of recent times Efforts have been made from different corners of the research community to understand different dimensions of the disease Some theoretical works have reported that disease becomes severe in the presence of environmental pollution In this work, we propose a nonlinear mathematical model to study the influence of air pollution on the dynamics of the disease The basic reproduction number plays a vital role in predicting the future of an epidemic Therefore, we obtain the expression of the basic reproduction number and performed a detailed sensitivity and uncertainty analysis The values of partial rank correlation coefficients (PRCC) have been calculated corresponding to six critical parameters The positive values of PRCC for pollution-related parameters depicts that pollution enhances the chances of a rapid spread of COVID-19 © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd