Infectious Disease Epidemiology
- Quantification of transmission dynamics and control
- Theoretical framework construction
- Bayesian Inference
- COVID-19
- Mpox (monkeypox)
My research work revolves around mathematical formulation of infectious disease dynamics drawing upon state-of-the-art mathematical/statistical/computational methodologies to comprehensively grasp the intricacies of transmission dynamics across various scales, thereby contributing to public health concerns.
In the case of directly transmitted diseases, each observed case is intertwined with its infector, creating what we term as dependent happenings. Consequently, there arises a necessity to reconstruct transmission dynamics through mathematical models that account for these non-i.i.d. settings.
My primary interest lies in quantifying natural history, transmission dynamics and control such as non-pharmaceutical interventions, vaccine strategy, etc. Additionally I aim to construct a robust theoretical framework, often through the lens of Bayesian framework.