Real-time pandemic surveillance using hospital admissions and mobility data
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2111870119
Abstract: Significance Forecasting COVID-19 healthcare demand has been hindered by poor data throughout the pandemic. We introduce a robust model for predicting COVID-19 transmission and hospitalizations based on COVID-19 hospital admissions and cell phone mobility data.… read more here.
Keywords: mobility data; time; mobility; hospital admissions ... See more keywords
Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea
Sign Up to like & getrecommendations! Published in 2021 at "Health Policy and Planning"
DOI: 10.1093/heapol/czab096
Abstract: Abstract We used big data analytics for exploring the relationship between government response policies, human mobility trends and numbers of coronavirus disease 2019 (COVID-19) cases comparatively in Poland, Turkey and South Korea. We collected daily… read more here.
Keywords: big data; data analytics; poland turkey; mobility ... See more keywords
Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2019.0809
Abstract: Human mobility plays a major role in the spatial dissemination of infectious diseases. We develop a spatio-temporal stochastic model for influenza-like disease spread based on estimates of human mobility. The model is informed by mobile… read more here.
Keywords: mobility; time averaged; influenza; model ... See more keywords
Risk mapping for COVID-19 outbreaks in Australia using mobility data
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2020.0657
Abstract: COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic, substantial undetected transmission is likely to occur before clinical cases… read more here.
Keywords: risk; transmission; mobility data; outbreaks australia ... See more keywords
Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2018.2884470
Abstract: The widespread use of mobile devices and location-based services has generated a large number of mobility databases. While processing these data is highly valuable, privacy issues can occur if personal information is revealed. The prior… read more here.
Keywords: protection; mobility; privacy utility; mobility data ... See more keywords
Privacy-Preserving Aggregate Mobility Data Release: An Information-Theoretic Deep Reinforcement Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3152361
Abstract: It is crucial to protect users’ location traces against inference attacks on aggregate mobility data collected from multiple users in various real-world applications. Most of the existing works on aggregate mobility data are focusing on… read more here.
Keywords: information; mobility data; privacy; release ... See more keywords
What can urban mobility data reveal about the spatial distribution of infection in a single city?
Sign Up to like & getrecommendations! Published in 2019 at "BMC Public Health"
DOI: 10.1186/s12889-019-6968-x
Abstract: BackgroundInfectious diseases spread through inherently spatial processes. Road and air traffic data have been used to model these processes at national and global scales. At metropolitan scales, however, mobility patterns are fundamentally different and less… read more here.
Keywords: mobility; infection; mobility data; spatial distribution ... See more keywords
Developing a Prediction Model for Identification of Distinct Perioperative Clinical Stages in Spine Surgery With Smartphone-Based Mobility Data
Sign Up to like & getrecommendations! Published in 2022 at "Neurosurgery"
DOI: 10.1227/neu.0000000000001885
Abstract: BACKGROUND: Spine surgery outcomes assessment currently relies on patient-reported outcome measures, which satisfy established reliability and validity criteria, but are limited by the inherently subjective and discrete nature of data collection. Physical activity measured from… read more here.
Keywords: mobility data; spine surgery; mobility; smartphone based ... See more keywords
Public health research using cell phone derived mobility data in sub-Saharan Africa: Ethical issues
Sign Up to like & getrecommendations! Published in 2023 at "South African Journal of Science"
DOI: 10.17159/sajs.2023/14777
Abstract: The movements of humans have a significant impact on population health. While studies of such movements are as old as public health itself, the COVID-19 pandemic has raised the profile of mobility research using digital… read more here.
Keywords: mobility data; health; mobility; public health ... See more keywords