Credible scientific narratives hinge on accurate disease burden calculations. However, quantifying the burden for underdiagnosed diseases or in emerging markets with inconsistent reporting is a significant challenge – one which may understate the true impact of your molecule.
Hosted by our epidemiology team, this webinar provides valuable insights for professionals who want to learn how to use AI-powered event-based surveillance and modeled intelligence to overcome data gaps for diseases across the globe.
Access our on-demand recording to learn:
- Why underdiagnosis and underreporting continue to be a challenge for calculating burden of disease
- How to use AI-powered event-based surveillance in emerging markets
- How to apply new modeled intelligence methodologies such as environmental suitability forecasts to inform disease burden projections
- How we do it: calculating the burden of chikungunya in Brazil