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The Effect of Policies and Human Mobility on the COVID-19 Epidemic




11: Urban Studies and Planning

Faculty Supervisor:

Carlo Ratti

Faculty email:


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Xiao Zhou: xiaozh@mit.edu

Project Description

The outbreak of COVID-19 across nearly 200 countries/regions worldwide has raised great concerns on an international scale. However, there is currently no effective vaccine available for the prevention of the spread of the virus. There are also no licensed medicines to treat the disease. In this case, the main action possible is to implement control measures to reduce contact between individuals, to prevent further spreading of the virus. Thus, to study the effectiveness of policies and human behaviors in response to the COVID-19 are crucial in the fight against coronavirus. Intending to overcome the limitations of traditional epidemic models, this project aims to develop a more delicate model that can predict the epidemic of COVID-19 based on a deeper understanding of the relationships between control measures, human mobility patterns, and the spread of the coronavirus. We believe that to understand this would make great contributions to giving suggestions for further policy-making with regard to the COVID-19, so as to control the current virus spreading and prevent additional outbreaks not only in the US but also in many other countries around the world.


Python or R-Statistical Programming; Experience in Machine Learning or Human Mobility Analysis is a Plus.