115 citations · 374 across the 61 of their papers we have counts for
11 papers · 1 filter
Quantifying Community Resilience Based on Fluctuations in Visits to Point-of-Interest from Digital Trace Data
Cristian Podesta, Natalie Coleman, Amir Esmalian +2
This study aims to quantify community resilience based on fluctuations in the visits to various Point-of-Interest (POIs) locations. Visit to POIs is an essential indicator of human…
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.…
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…
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…
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…
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…
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…
Macroscopic and Microscopic Characteristics of Networks with Time-variant Functionality for Evaluating Resilience to External Perturbations
Xinyu Gao, Shangjia Dong, Ali Mostafavi +1
Knowledge of time-variant functionality of real-world physical, social, and engineered networks is critical to the understanding of the resilience of networks facing external pertu…
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data
Shangjia Dong, Tianbo Yu, Hamed Farahmand +1
The objective of this study is to create and test a hybrid deep learning model, FastGRNN-FCN (Fast, Accurate, Stable and Tiny Gated Recurrent Neural Network-Fully Convolutional Net…
Effects of Population Co-location Reduction on Cross-county Transmission Risk of COVID-19 in the United States
Chao Fan, Sanghyeon Lee, Yang Yang +3
The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the p…
A Network Percolation-based Contagion Model of Flood Propagation and Recession in Urban Road Networks
Chao Fan, Xiangqi Jiang, Ali Mostafavi
In this study, we propose a contagion model as a simple and powerful mathematical approach for predicting the spatial spread and temporal evolution of the onset and recession of fl…