129 citations · 297 across the 5 of their papers we have counts for
5 papers
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
Zhenlong Li, Xiao Huang, Tao Hu +3
In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scala…
Spatiotemporal Differences of COVID-19 Infection among Healthcare Workers and Patients in China from January to March 2020
Peixiao Wang, Xinyan Zhu, Wei Guo +2
Studying the spatiotemporal differences in coronavirus disease (COVID-19) between social groups such as healthcare workers (HCWs) and patients can aid in formulating epidemic conta…
Exploring the impact of under-reported cases on the COVID-19 spatiotemporal distribution using healthcare worker infection data
Peixiao Wang, Tao Hu, Hongqiang Liu +1
A timely understanding of the spatiotemporal pattern and development trend of COVID-19 is critical for timely prevention and control. However, the under-reporting of cases is wides…
Taking the pulse of COVID-19: A spatiotemporal perspective
Chaowei Yang, Dexuan Sha, Qian Liu +32
The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including…
Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in China Using Nighttime Light and Air Quality Data
Qian Liu, Dexuan Sha, Wei Liu +8
In order to analyze the impact of COVID-19 on people's lives, activities and the natural environment, this paper investigates the spatial and temporal characteristics of Night Time…