Urban Resilience to COVID-19 and Pandemics

Harnessing big data and AI to support the COVID-19 response

Compound Pandemic and Hurricane Hazard Index

Indicator of county-level compounded vulnerability and risk to COVID-19 exposure and spread, hurricane impact, and flooding

Interactive map produced using kepler.gl

Click here to download variable descriptions

DeepCOVIDNET: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19

Deep learning model considering heterogeneous features, such as census data, intra-county mobility, inter-county mobility, social distancing data, and past growth of infection

Detecting Early-warning signals to Examine Population Response to COVID-19

Detecting Early-warning signals in Time Series of Visits to Points of Interests to Examine Population Response to COVID-19 Pandemic

Disparate Patterns of Movements and Visits

Disparate Patterns of Movements and Visits to Points of Interests Located in Urban Hotspots across U.S. Metropolitan Cities during COVID-19

Cross-County Transmission Risks

Effects of Population Co-location Reduction on Cross-county Transmission Risk of COVID-19 in the United States

Our COVID-19 Research Team

Dr. Ali Mostafavi

Principal Investigator

Chao Fan

Ph.D Student, Civil Engineering

Qingchun Li

Ph.D Student, Civil Engineering


Xinyu Gao

Ph.D Student, Civil Engineering

Natalie Coleman

Ph.D Student, Civil Engineering

Akhil Rajput

Ph.D Student, Civil Engineering


Jennifer Dargin

Ph.D Student, Civil Engineering

Fangsheng Wu

MS Student, Computer Engineering

Yang Yang

MS Student, Computer Science


Wanqiu (Fiona) Wang

MS Student, Computer Engineering

Sanghyeon Lee

MS Student, Computer Engineering

Ankit Ramchandani

Undergraduate Researcher,
Computer Science


Bora Oztekin

Undergraduate Researcher,
Computer Science

Ronald Lee

Undergraduate Researcher,
Computer Science

Evelyn Tang

Undergraduate Researcher,
Computer Science


Xin Xiao

Undergraduate Researcher,
Computer Engineering

Liam Bessel

Undergraduate Researcher,
Computer Science

Sara Garcia

Undergraduate Researcher,
Civil Engineering


Jared DeLeon

Undergraduate Researcher,
Computer Engineering

We acknowledge funding support from the National Science Foundation (Award #: 2026814). Any opinions, findings, and conclusion or recommendations expressed in this research are those of the authors and do not necessarily reflect the view of the funding agency.