[HTML][HTML] Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning

R Levin, DL Chao, EA Wenger, JL Proctor - Nature Computational …, 2021 - nature.com
Understanding the complex interplay between human behavior, disease transmission and
non-pharmaceutical interventions during the COVID-19 pandemic could provide valuable …

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle

N Oliver, B Lepri, H Sterly, R Lambiotte, S Deletaille… - Science …, 2020 - science.org
The coronavirus 2019–2020 pandemic (COVID-19) poses unprecedented challenges for
governments and societies around the world (1). Nonpharmaceutical interventions have …

[HTML][HTML] Practical geospatial and sociodemographic predictors of human mobility

CW Ruktanonchai, S Lai, CE Utazi, AD Cunningham… - Scientific reports, 2021 - nature.com
Understanding seasonal human mobility at subnational scales has important implications
across sciences, from urban planning efforts to disease modelling and control. Assessing …

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 …

Understanding the urban pandemic spreading of covid-19 with real world mobility data

Q Hao, L Chen, F Xu, Y Li - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
Facing the worldwide rapid spreading of COVID-19 pandemic, we need to understand its
diffusion in the urban environments with heterogeneous population distribution and mobility …

[HTML][HTML] Public mobility data enables COVID-19 forecasting and management at local and global scales

C Ilin, S Annan-Phan, XH Tai, S Mehra, S Hsiang… - Scientific reports, 2021 - nature.com
Policymakers everywhere are working to determine the set of restrictions that will effectively
contain the spread of COVID-19 without excessively stifling economic activity. We show that …

Supporting covid-19 policy response with large-scale mobility-based modeling

S Chang, ML Wilson, B Lewis, Z Mehrab… - Proceedings of the 27th …, 2021 - dl.acm.org
Mobility restrictions have been a primary intervention for controlling the spread of COVID-19,
but they also place a significant economic burden on individuals and businesses. To …

[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 …

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] 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 …