Game-theoretic Approach of Modeling Antibiotic Drug Resistance as Self-Reinforcing Process by Social Factors and Economic Growth | Department of Mathematics

Game-theoretic Approach of Modeling Antibiotic Drug Resistance as Self-Reinforcing Process by Social Factors and Economic Growth

Antibiotic Resistance (AR) or drug resistance is a global issue. The challenges associated with controlling drug resistance, particularly in Indian context, are many and multifaceted. Along with extensive use of antibiotics in hospitals and farming, several social factors such as self-medication also promote antibiotic use (misuse) in community. As nations work to establish better practices such as improving surveillance systems, increasing public awareness to manage resistance, there’s also need for better mathematical theories that describe interrelations among economic growth, social factors, and antibiotic use causing drug resistance. The project aims to develop mathematical models using Game theory, Nonlinear Dynamics and Statistical Inference theory to provide valuable insight by identifying key factors of emergence of antibiotic resistance and the role of Social factors and Economic growth in it.

Funded by SERB (ECR/2016/000591) – Started in January 2017.

Faculty

Assistant Professor

Students

Tumpa Mahato
Research Assistant