/digital-disease-surveillance

Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread

Primary LanguageRMIT LicenseMIT

Overview

The lecture and tutorial are based on our work on using digital disease surveillance data to do real-time outbreak analysis. I will illustrate the challenges of generating actionable insights from disease surveillance data.

Data

Ebola

Our motivating example comes from the 2013–2016 West African Ebola epidemic. We will use two Ebola data sets:

  • curated ProMED and HealthMap records on the human cases of Ebola Virus Disease in West Africa;
  • West African Ebola incidence data collated by the WHO during the epidemic. We will use a ``clean'' version of this data that was made available here, ~1 year after the end of the pandemic.