1 publication

• Published Subscription Review Article 30 Jun 2025

  Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

  By Narendra J. Padole, Vinod Ramteke, Manish L. Jivtode

  Abstract: The COVID-19 pandemic has really underlined the importance of mathematical modeling in understanding disease-spread dynamics and especially informing public health interventions. The paper aims to provide a comprehensive comparative analysis of various mathematical models used for COVID-19 studies, with a focus on assumptions underlying those models, strengths, and also the limitations in their applications as well as special focus is given to compartmental models, agent-based models, machine learning-enhanced models, and …

  Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 42–53 Read article →