Samit Bhattacharyya

About

Dr. Samit Bhattacharyya started his Mathematical Biology research career modelling population dynamics of insect pests and their management in Ph.D. In the past few years, his research has spanned over modelling human infectious diseases like measles, whooping cough (pertussis), meningitis, influenza, tuberculosis, antibiotic drug resistance, and malaria. A major focus of this research is modelling human behavioral interactions and their impact on disease transmission and control. He implements both qualitative approaches to modelling such as agent-based models, spatial models, stochastic models, network models to get insights into the basic biological processes; and quantitative approaches such as data analysis and statistical inference, machine learning, and deep-learning that helps to evaluate alternative hypotheses about these processes.

Employment

Employment history is unavailable.

Education

• University of Calcutta Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Cultural traits may replace human mobility data in forecasting COVID-19 mortality: a deep learning approach
  Machine Learning: Health 2026 DOI: 10.1088/3049-477X/ae87a9
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• Impact of multiple consultations and switching in treatment-seeking in tuberculosis: Mathematical modelling and optimal control
  PLOS One 2025 DOI: 10.1371/journal.pone.0324330
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• Optimizing third party funding to alleviate global drug resistance: A game-theoretic modeling approach
  International Journal of Biomathematics 2024 DOI: 10.1142/S1793524524501390
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• Onchocerciasis-associated epilepsy in Maridi, South Sudan: Modelling and exploring the impact of control measures against river blindness
  PLOS Neglected Tropical Diseases 2023 DOI: 10.1371/journal.pntd.0011320
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• Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: Understanding from game-theoretic perspective
  Royal Society Open Science 2022 DOI: 10.1098/rsos.211872
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• The effect of human vaccination behaviour on strain competition in an infectious disease: An imitation dynamic approach
  Theoretical Population Biology 2022 DOI: 10.1016/j.tpb.2021.12.001
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• Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic
  Royal Society Open Science 2021 DOI: 10.1098/rsos.210429
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• A discrete population game model of vaccination exploring the role of individuals' risk perceptions in the invasion of a mutant strain
  Journal of Difference Equations and Applications 2021 DOI: 10.1080/10236198.2021.1929198
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• Human choice to self-isolate in the face of the COVID-19 pandemic: A game dynamic modelling approach
  Journal of Theoretical Biology 2021 DOI: 10.1016/j.jtbi.2021.110692
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• ROLE of MEDIA COVERAGE in MITIGATING AN EPIDEMIC OUTBREAK: AN OPTIMAL CONTROL MODEL
  Journal of Biological Systems 2021 DOI: 10.1142/S0218339021500212
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