A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic

S Hu, C Xiong, M Yang, H Younes, W Luo… - … Research Part C …, 2021 - Elsevier
During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges

T Hu, S Wang, B She, M Zhang, X Huang… - … Journal of Digital …, 2021 - Taylor & Francis
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …

[HTML][HTML] Human mobility trends during the early stage of the COVID-19 pandemic in the United States

M Lee, J Zhao, Q Sun, Y Pan, W Zhou, C Xiong… - PloS one, 2020 - journals.plos.org
In March of this year, COVID-19 was declared a pandemic, and it continues to threaten
public health. This global health crisis imposes limitations on daily movements, which have …

[HTML][HTML] Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic

Y Kang, S Gao, Y Liang, M Li, J Rao, J Kruse - Scientific data, 2020 - nature.com
Understanding dynamic human mobility changes and spatial interaction patterns at different
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …

Mapping county-level mobility pattern changes in the United States in response to COVID-19

S Gao, J Rao, Y Kang, Y Liang, J Kruse - SIGSpatial Special, 2020 - dl.acm.org
To contain the COVID-19 epidemic, one of the non-pharmacological epidemic control
measures is reducing the transmission rate of SARS-COV-2 in the population through social …

Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA

C Xiong, S Hu, M Yang, H Younes… - Journal of the …, 2020 - royalsocietypublishing.org
One approach to delaying the spread of the novel coronavirus (COVID-19) is to reduce
human travel by imposing travel restriction policies. Understanding the actual human …

Non-linear impacts of COVID-19 pandemic on human mobility: Lessons from its variations across three pandemic waves

S Kim, K Jang, J Yeo - Sustainable Cities and Society, 2023 - Elsevier
This study sought to understand how the COVID-19 pandemic influenced human mobility
patterns in a city, how the influences varied across the pandemic wave phases, and how the …

[HTML][HTML] Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States

Y Pan, A Darzi, A Kabiri, G Zhao, W Luo, C Xiong… - Scientific Reports, 2020 - nature.com
Since the first case of the novel coronavirus disease (COVID-19) was confirmed in Wuhan,
China, social distancing has been promoted worldwide, including in the United States, as a …

Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections

C Xiong, S Hu, M Yang, W Luo… - Proceedings of the …, 2020 - National Acad Sciences
Accurately estimating human mobility and gauging its relationship with virus transmission is
critical for the control of COVID-19 spreading. Using mobile device location data of over 100 …

[HTML][HTML] Big data insight on global mobility during the Covid-19 pandemic lockdown

A Sadowski, Z Galar, R Walasek, G Zimon… - Journal of big Data, 2021 - Springer
The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge
number of deaths worldwide. Countries have introduced spatial restrictions on movement …