SISMID 2017 Modules

9th Summer Institute in Statistics and Modeling in Infectious Diseases

Module 10: Statistics and Modeling with Novel Data Streams

Week 2, Session 3, Monday 8:30 AM - Wednesday 12:00 PM: Mon Jul 17 to Wed Jul 19

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.