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

C **ong, S Hu, M Yang, W Luo, L Zhang - Proceedings of the National …, 2020 - pnas.org
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 …

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

S Hu, C **ong, 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 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 **ong… - 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 …

Interactive COVID-19 mobility impact and social distancing analysis platform

L Zhang, A Darzi, S Ghader, ML Pack… - Transportation …, 2023 - journals.sagepub.com
The research team has utilized privacy-protected mobile device location data, integrated
with COVID-19 case data and census population data, to produce a COVID-19 impact …

Are stay-at-home orders more difficult to follow for low-income groups?

J Lou, X Shen, D Niemeier - Journal of transport geography, 2020 - Elsevier
In response to the COVID-19 pandemic, a growing number of states, counties and cities in
the United States issued mandatory stay-at-home orders as part of their efforts to slow down …

Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: A pedestrian dynamics-based microscopic simulation approach

Y **ao, M Yang, Z Zhu, H Yang, L Zhang, S Ghader - Transport policy, 2021 - Elsevier
Mathematical modeling of epidemic spreading has been widely adopted to estimate the
threats of epidemic diseases (ie, the COVID-19 pandemic) as well as to evaluate epidemic …

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

C **ong, 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 …

Big-data driven framework to estimate vehicle volume based on mobile device location data

M Yang, W Luo, M Ashoori… - Transportation …, 2024 - journals.sagepub.com
Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control,
transportation project prioritization, road maintenance planning, and more. Traditional …

Observed mobility behavior data reveal social distancing inertia

S Ghader, J Zhao, M Lee, W Zhou, G Zhao… - arxiv preprint arxiv …, 2020 - arxiv.org
The research team has utilized an integrated dataset, consisting of anonymized location
data, COVID-19 case data, and census population information, to study the impact of COVID …

[PDF][PDF] COVID-19 and income profile: How people in different income groups responded to disease outbreak, case study of the United States

Q Sun, W Zhou, A Kabiri, A Darzi, S Hu… - arxiv preprint arxiv …, 2020 - researchgate.net
Due to immature treatment and rapid transmission of COVID-19, mobility interventions play a
crucial role in containing the outbreak. Among various non-pharmacological interventions …