×H2. Data science and simulation modelling methods in health

Papers are invited presenting new and innovative modelling, data science and decision support methods to address the challenges of modelling in the health sector, including but not limited to: model testing; validation and calibration methods; data collection, availability, and suitability for modelling; uncertainty; data visualisation methods, knowledge development and capacity building for modellers and decision makers. Examples of both methodological papers and health system applications are invited.

Key topics: Health modelling, Health data science, Health system, Health data visualisation