IIT-Patna Director Highlights Role of Mathematical Modelling in Disease Control

Mathematical modelling is becoming an increasingly important tool in public health, helping scientists and policymakers predict disease outbreaks, evaluate intervention strategies, and allocate healthcare resources more effectively. Speaking at a faculty development programme at Indian Institute of Technology Patna, Director T. N. Singh stressed that data-driven mathematical models are essential for understanding and controlling infectious diseases.

Predicting outbreaks and planning responses

Addressing participants at a six-day faculty development programme on "Mathematical Modelling of Diseases" under the Malaviya Mission Teacher Training Centre, Singh said mathematical models enable public health authorities to:

• Forecast the trajectory of epidemics.
• Estimate future healthcare demand.
• Optimise limited resources such as vaccine stockpiles and hospital capacity.
• Test intervention strategies virtually before implementing them in real-world settings.

Such simulations allow policymakers to assess the likely impact of measures like vaccination campaigns, lockdowns, or vector-control programmes without exposing populations to unnecessary risks.

Understanding how diseases spread

Singh explained that mathematical disease models combine multiple sources of information—including demographic, environmental and biological data—to better understand disease transmission.

He cited dengue as an example, noting that models can help researchers examine how factors such as climate change, rainfall patterns and temperature influence mosquito populations and disease spread. This enables health agencies to design more targeted prevention and surveillance strategies.

Linking modern science with India's mathematical heritage

Highlighting India's long tradition of mathematical thinking, Singh referred to ancient texts such as the Shulba Sutras and the Surya Siddhanta.

He noted that the precise calculation of the value of pi described in the Shulba Sutras and Aryabhata's geometric estimation of the distance between the Earth and the Sun illustrate the longstanding use of mathematical modelling in India.

Building interdisciplinary expertise

Programme coordinator Prashant K. Srivastava said the faculty development programme is designed to strengthen participants' analytical skills, research capabilities and understanding of mathematical disease modelling—an interdisciplinary field that brings together mathematics, epidemiology, biology, statistics and computer science.

Why mathematical modelling matters

The growing importance of mathematical modelling has been evident during recent global health emergencies, where predictive models have informed decisions on vaccination strategies, hospital preparedness and outbreak containment.

As emerging infectious diseases become increasingly influenced by factors such as climate change, urbanisation and global travel, expertise in mathematical modelling is expected to play an even larger role in supporting evidence-based public health planning and strengthening epidemic preparedness.