Description
Undernutrition is the biggest risk factor for tuberculosis, which is in turn the world’s biggest infectious disease killer. A recent trial demonstrated the effect of nutritional support for tuberculosis-affected households in reducing incidence of tuberculosis disease and tuberculosis-associated mortality. This webinar will explain how mathematical modelling was used to estimate the effect and cost-effectiveness of scaling up this intervention from the study region to the entirety of India.
The webinar will outline why modelling was used and what data were required in order to achieve this, including data describing the relationship between nutrition and tuberculosis. It will also outline relevant modelling studies in the field, and diving into the detailed results of one specific study. This webinar will describe how infectious disease modelling can be a useful tool to extrapolate the effect of a nutritional intervention beyond simply the direct effects, and is suitable for those with limited experience of modelling and health economics.
What will I gain from this webinar?
- You will be able to describe the benefits of using a tuberculosis modelling approach to compare the effect and cost-effectiveness of a nutritional intervention.
- You will be able to critically discuss the data requirements that need to be met in order to model a nutritional intervention for tuberculosis.
- You will understand how tuberculosis modelling evidence supports global policy for nutritional interventions.