Publications by authors named "Chathika Krishan Weerasuriya"
Article Synopsis
- Mathematical modeling of tuberculosis vaccine impact has historically assumed that individuals with Mtb infection face lifelong risk, but new research indicates that many may self-clear infections.
- This study calibrates tuberculosis models for China and India to explore how incorporating self-clearance influences vaccine effectiveness estimates, comparing different scenarios and types of vaccines.
- Findings show that including self-clearance can significantly increase the estimated disease incidence reduction for vaccines that target uninfected individuals and has mixed effects for those aimed at infected individuals, while having little effect on vaccines effective regardless of infection status.
We investigated the effects of updating age-specific social contact matrices to match evolving demography on vaccine impact estimates. We used a dynamic transmission model of tuberculosis in India as a case study. We modelled four incremental methods to update contact matrices over time, where each method incorporated its predecessor: fixed contact matrix (M0), preserved contact reciprocity (M1), preserved contact assortativity (M2), and preserved average contacts per individual (M3).
View Article and Find Full Text PDFNew tuberculosis vaccines have made substantial progress in the development pipeline. Previous modelling suggests that adolescent/adult mass vaccination may cost-effectively contribute towards achieving global tuberculosis control goals. These analyses have not considered the budgetary feasibility of vaccine programmes.
View Article and Find Full Text PDF