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Nim Arinaminpathy applies mathematical and statistical tools to study the transmission dynamics of infectious diseases, with equal interest in basic science and policy-focused analysis. A major focus of his research team is the control of human tuberculosis (TB) in high-burden countries, working closely with national TB programmes in India and other high-burden regions. The team collaborates with the Stop TB Partnership and the World Health Organization at both regional and global levels. Their work includes estimating the global burden of TB impacted by COVID-related disruptions and providing modeling and analytical support for strategic planning towards the End TB goals. They also contribute to India's National Tuberculosis Elimination Programme, helping to inform intervention planning to meet the ambitious goals of TB elimination in the country. Additionally, he maintains an active interest in viral respiratory infections, collaborating with the Indian Council of Medical Research to assist in modeling major infectious diseases, with a focus on COVID-19. His collaboration with Princeton University and the CDC involves applying mathematical modeling for surveillance and control of seasonal and pandemic influenza.
Imperial College London • London, United Kingdom
Professor in the Department of Public Health focusing on mathematical epidemiology.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.