most citedA Network Percolation-based Contagion Model of Flood Propagation and Recession in Urban Road Networks

53 citations · 75 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL20208 cited

Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

Wenlin Yao, Cheng Zhang, Shiva Saravanan +2

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management.…

physics.soc-ph20203 cited

Early Indicators of COVID-19 Spread Risk Using Digital Trace Data of Population Activities

Xinyu Gao, Chao Fan, Yang Yang +4

The spread of pandemics such as COVID-19 is strongly linked to human activities. The objective of this paper is to specify and examine early indicators of disease spread risk in ci…

physics.soc-ph2020

Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises

Chao Fan, Xiangqi Jiang, Ali Mostafavi

The objective of this study is to propose and test an adaptive reinforcement learning model that can learn the patterns of human mobility in a normal context and simulate the mobil…

physics.soc-ph2020

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

Qingchun Li, Zhiyuan Tang, Natalie Coleman +1

The objective of this paper is to examine population response to COVID-19 and associated policy interventions through detecting early-warning signals in time series of visits to po…

cs.CY2020

DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions

Ankit Ramchandani, Chao Fan, Ali Mostafavi

In this paper, we propose a deep learning model to forecast the range of increase in COVID-19 infected cases in future days and we present a novel method to compute equidimensional…

physics.soc-ph20203 cited

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

Qingchun Li, Liam Bessell, Xin Xiao +3

We examined the effect of social distancing on changes in visits to urban hotspot points of interest. Urban hotspots, such as central business districts, are gravity activity cente…