Abstract

The mathematical models serve as an irreplaceable tool in the controlling and gaining an understanding of the pandemic. Furthermore, these models can guide and influence the public health decisions and be of immense help in forecasting the transmission and deciding intervention strategies. Inaccurate models raise problematic issues too by leading to inefficient treatment decisions and making incorrect predictions. It is indisputable that using an advanced model will decrease the level of accuracy bias, but with that comes the caveat of increasing attention and resources being diverted towards getting rid of the inaccuracy. Alongside dealing with these biases, advanced models can also improve the preparedness for future pandemics, making sure that having a model will be treated as a crucial factor. Models are to be calibrated with caution and policies should have the flexibility to deal with uncertainty associated with pandemic modeling. In this backdrop, the present study is an attempt to critically discuss the role of Mathematical Modelling in Pandemic Management. It is hoped that the review of research studies provided in the paper will provide valuable insights to the researchers, policy makers and other stakeholders related to management of pandemics.