Large-scale GPS location datasets hold immense potential for measuring human mobility
and interpersonal contact, both of which are essential for data-driven epidemiology …

During the COVID-19 pandemic, the behavioral response to reported case numbers
changed drastically over time. While a few dozen cases were enough to trigger government …

Deep neural networks are increasingly utilized in mobility prediction tasks, yet their intricate
internal workings pose challenges for interpretability, especially in comprehending how …

Abstract The coronavirus disease 2019 (COVID-19) pandemic, along with the
implementation of public health and social measures (PHSMs), have markedly reshaped …

We delve into the temporal dynamics of public transportation (PT) ridership in Seoul, South
Korea, navigating the periods before, during, and after the COVID-19 pandemic through a …

The COVID-19 pandemic has posed global public health threats. The mass COVID-19
vaccination has continuously played a central role in containing this pandemic. To maximise …

Despite the historically documented regularity in human mobility patterns, the relaxation of
spatial and temporal constraints, brought by the widespread adoption of telecommuting and …

Urban vibrancy is the dynamic activity of humans in urban locations. It can vary with urban
features and the opportunities for human interactions, but it might also differ according to the …

COVID-19 caused widespread disruption to normal lives and human activities. In China, the
mobility behaviour response to the COVID-19 pandemic at the intra-city and population …

A variety of factors are associated with greater COVID-19 morbidity or mortality, due to how
these factors influence exposure to (in the case of morbidity) or severity of (in the case of …