The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling
F Barreras, DJ Watts - Nature Computational Science, 2024 - nature.com
Large-scale GPS location datasets hold immense potential for measuring human mobility
and interpersonal contact, both of which are essential for data-driven epidemiology …
and interpersonal contact, both of which are essential for data-driven epidemiology …
[HTML][HTML] Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment
Empiric quantification of human mobility patterns is paramount for better urban planning,
understanding social network structure and responding to infectious disease threats …
understanding social network structure and responding to infectious disease threats …
Extrapolating sparse large-scale gps traces for contact evaluation
Human mobility traces are increasingly used for more realistic evaluation of mobile
(opportunistic) communication systems. Although GPS traces yield the most detailed data …
(opportunistic) communication systems. Although GPS traces yield the most detailed data …
[HTML][HTML] An anonymised longitudinal GPS location dataset to understand changes in activity-travel behaviour between pre-and post-COVID periods
Collecting GPS data using mobile devices is essential to understanding human mobility.
However, getting this type of data is tricky because of some specific features of mobile …
However, getting this type of data is tricky because of some specific features of mobile …
Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19
High resolution mobility datasets have become increasingly available in the past few years
and have enabled detailed models for infectious disease spread including those for COVID …
and have enabled detailed models for infectious disease spread including those for COVID …
Toward accurate spatiotemporal COVID-19 risk scores using high-resolution real-world mobility data
As countries look toward re-opening of economic activities amidst the ongoing COVID-19
pandemic, ensuring public health has been challenging. While contact tracing only aims to …
pandemic, ensuring public health has been challenging. While contact tracing only aims to …
[PDF][PDF] Simulating continuous-time human mobility trajectories
Recent pandemic events have greatly emphasized the need to understand how humans
navigate in modern day cities for effective public health policy implementation. In this paper …
navigate in modern day cities for effective public health policy implementation. In this paper …
Challenges and limitations of geospatial data and analyses in the context of COVID-19
The global COVID-19 pandemic has infected public consciousness with a new appreciation
of geospatial analyses in public health. Not since John Snow's 1854 cholera map of London …
of geospatial analyses in public health. Not since John Snow's 1854 cholera map of London …
Mobilkit: a Python toolkit for urban resilience and disaster risk management analytics using high frequency human mobility data
Increasingly available high-frequency location datasets derived from smartphones provide
unprecedented insight into trajectories of human mobility. These datasets can play a …
unprecedented insight into trajectories of human mobility. These datasets can play a …
Introduction to the special issue on understanding the spread of COVID-19, part 1
Infectious diseases are transmitted between human hosts when in close contact over space
and time. Recently, an unprecedented amount of spatial and spatiotemporal data have been …
and time. Recently, an unprecedented amount of spatial and spatiotemporal data have been …