Biography
Sandip Mandal is Senior Advisor for Data Analytics and Mathematical Modelling at John Snow India, and Adjunct Associate Professor at IIT-Bombay. He also works with the Modelling, Planning and Policy Analysis team at Avenir Health. His research focuses on infectious disease epidemiology, with a particular emphasis on policy issues concerning human tuberculosis. He supported India’s COVID-19 response through modelling and works closely with the India’s national TB programme, the Stop-TB Partnership, and WHO, at headquarters and regional levels. With over 50 peer-reviewed publications, he combines academic and policy expertise to inform public health strategies in India and beyond.
Key Impacts
How best to manage TB in households? A modelling analysis of TB preventive therapy and nutritional support in India
Incorporating real-world conditions is essential in planning TB interventions. While TPT remains important, nutritional support may yield greater reductions in TB incidence and mortality among household contacts in India—and do so at lower cost.
Source: Conference 2024
New drugs, diagnostics and vaccines in India: Their potential impact on TB burden, and priorities for their development
The combined use of new drugs, diagnostics and vaccines could achieve substantial reductions in TB burden. Nonetheless, these findings highlight the critical role of new tools that can facilitate accelerated case-finding (e.g. highly portable X-rays with AI reads) and post-exposure prevention of TB (e.g. a prevention-of-disease vaccine, or nutritional support).
Source: Conference 2024
Lecture 2a&b: TB modelling - Interventions and cost effectiveness
Impact details available upon request.
Source: Conference 2024
A deadly equation: The global toll of US TB funding cuts
Impact details available upon request.
Source: Conference 2024