Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing

K Leung, JT Wu, GM Leung - Nature communications, 2021 - nature.com
Digital proxies of human mobility and physical mixing have been used to monitor viral
transmissibility and effectiveness of social distancing interventions in the ongoing COVID-19 …

Variation in human mobility and its impact on the risk of future COVID-19 outbreaks in Taiwan

MC Chang, R Kahn, YA Li, CS Lee, CO Buckee… - BMC public health, 2021 - Springer
Background As COVID-19 continues to spread around the world, understanding how
patterns of human mobility and connectivity affect outbreak dynamics, especially before …

Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

HS Badr, H Du, M Marshall, E Dong… - The Lancet Infectious …, 2020 - thelancet.com
Background Within 4 months of COVID-19 first being reported in the USA, it spread to every
state and to more than 90% of all counties. During this period, the US COVID-19 response …

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 …

Monitoring the COVID-19 epidemic with nationwide telecommunication data

J Persson, JF Parie… - Proceedings of the …, 2021 - National Acad Sciences
In response to the novel coronavirus disease (COVID-19), governments have introduced
severe policy measures with substantial effects on human behavior. Here, we perform a …

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy

P Cintia, L Pappalardo, S Rinzivillo, D Fadda… - arXiv preprint arXiv …, 2020 - arxiv.org
In 2020, countries affected by the COVID-19 pandemic implemented various non-
pharmaceutical interventions to contrast the spread of the virus and its impact on their …

Mobility traces and spreading of COVID-19

SA Müller, M Balmer, A Neumann, K Nagel - MedRxiv, 2020 - medrxiv.org
1 Executive summary We use human mobility models, for which we are experts, and attach a
virus infection dynamics to it, for which we are not experts but have taken it from the …

Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data

Y Zhou, R Xu, D Hu, Y Yue, Q Li, J Xia - The Lancet Digital Health, 2020 - thelancet.com
Background Restricting human mobility is an effective strategy used to control disease
spread. However, whether mobility restriction is a proportional response to control the …

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 …

Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study

N Kishore, AR Taylor, PE Jacob, N Vembar… - The Lancet Digital …, 2022 - thelancet.com
Background In early 2020, the response to the SARS-CoV-2 pandemic focused on non-
pharmaceutical interventions, some of which aimed to reduce transmission by changing …