Research areas |Outbreak Analytics & Forecasting

Outbreak Analytics & Forecasting

We develop mechanistic and ensemble forecasts, scenario modeling, and decision tools that support public-health preparedness and response across local and national partners.

Faculty

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Recent publications

August 28, 2020

Computational social science: Obstacles and opportunities

Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

Nature Human Behaviour

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak

Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China

A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models