Familiarity with a programming language is expected (Python, R, Matlab or other).
This module focuses on digital data sources and novel data streams such as geo-localized population and mobility data, wearable devices, web participatory platforms and web search data or social media updates. We will:
- Provide an introduction to different digital data sources and technical challenges in their collection, storage, and analysis.
- Review the integration of digital data sources with statistical and mechanistic modeling of infectious diseases.
- Provide an introduction to the use of novel data streams time series for epidemic forecasting will be provided.
- Describe the construction of synthetic populations and the calibration of highly detailed individual based models.
The class assumes familiarity with material in Module 1: Probability and Statistical Inference and Module 2: Mathematical Models of Infectious Diseases.