Incorporating Non-Expert Evidence into Surveillance and Early Detection of Public Health Emergencies

‘Big data’ has promised significant improvements for the global surveillance of infectious disease. This SSHAP Case Study highlights how, over the past two decades, new disease surveillance practices built on amassing and processing large data sets – analysed computationally to reveal patterns, trends, and associations, relating to human behaviour and interactions – have been successful […]