A comprehensive analysis of privacy protection techniques developed for COVID-19 pandemic

A Majeed, SO Hwang - IEEE Access, 2021 - ieeexplore.ieee.org
Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

A Stochastic Mobility-Driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines

TW Alleman, M Rollier, J Vergeynst… - Applied Mathematical …, 2023 - Elsevier
In this work, we extend our previously developed compartmental SEIQRD model for SARS-
CoV-2 in Belgium. We introduce SARS-CoV-2 variants of concern, vaccines, and …

Mobile Big Data in the fight against COVID-19

R Benjamins, J Vos, S Verhulst - Data & Policy, 2022 - cambridge.org
In this editorial, Guest Editors Richard Benjamins (Telefónica), Jeanine Vos (GSMA), and
Stefaan Verhulst (Data & Policy Editor-in-Chief) draw insights from a set of peer-reviewed …

Responding to the coronavirus disease-2019 pandemic with innovative data use: The role of data challenges

J Danemayer, A Young, S Green, L Ezenwa, M Klein - Data & policy, 2023 - cambridge.org
Innovative, responsible data use is a critical need in the global response to the coronavirus
disease-2019 (COVID-19) pandemic. Yet potentially impactful data are often unavailable to …

Business-to-government data sharing for public interests in the European union: results of a public consultation

I Susha, J Schiele, K Frenken - International Conference on Electronic …, 2022 - Springer
Lately governments and companies began experimenting with voluntary data sharing of
business data for addressing public problems (so-called Data Collaboratives). This early …

Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data

M Cebecauer, D Gundlegård… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Public transport plays a vital role in society and the urban environment. However,
knowledge of its spatial and temporal shares is often limited to traditional travel surveys …

[HTML][HTML] Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data

J Taghia, V Kulyk, S Ickin, M Folkesson, C Nyström… - Scientific Reports, 2022 - nature.com
Reliable forecast of COVID-19 hospital admissions in near-term horizons can help enable
effective resource management which is vital in reducing pressure from healthcare services …

The Growth Rate of COVID-19 Cases in Spring 2020 Was Associated With Individual Mobility and County-level Political Leaning

C Parker, J Mejia, F Pestilli - Available at SSRN 4714781, 2023 - papers.ssrn.com
The implementation of social distancing policies is key to reducing the impact of the recent
COVID-19 pandemic and future pandemics. However, their effectiveness ultimately depends …

[PDF][PDF] Challenges of Using Signaling Data From Telecom Network in Non-Urban Areas

HB Toft, A Sirotkin, M Landrø, RV Engeset… - Journal of Trial and …, 2023 - assets.pubpub.org
Outdoor recreation continues to increase in popularity. In Norway, several avalanche
fatalities are recorded every year, but the accurate calculation of a fatal accident rate is …

Development of Forecast Models for COVID-19 Hospital Admissions using Mobile Network Data: A Privacy-Preserving Approach

J Taghia, V Kulyk, S Ickin, M Folkesson, C Nyström… - 2022 - researchsquare.com
Reliable near-time forecast of COVID-19 hospital admissions can help enable effective
resource management which is vital in reducing pressure from healthcare services. The use …