Carrillo, D., Duc Nguyen, L., Nardelli, P.H.J. et al. (11 more authors) (2021) Containing Future Epidemics With Trustworthy Federated Systems for Ubiquitous Warning and Response. Frontiers in Communications and Networks, 2. 621264. ISSN 2673-530X
Abstract
In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the pervasiveness of wireless connectivity while being trustworthy and secure. The proposed system is conceptualized to be decentralized yet federated, based on ubiquitous public systems and active citizen participation. Its foundations lie on the principle of informational self-determination. We argue that only in this way it can become a trustworthy and legitimate public good infrastructure for citizens by balancing the asymmetry of the different hierarchical levels within the federated organization while providing highly effective detection and guiding mitigation measures toward graceful lockdown of the society. To exemplify the proposed system, we choose a remote patient monitoring as use case. This use case is evaluated considering different numbers of endorsed peers on a solution that is based on the integration of distributed ledger technologies and NB-IoT (narrowband IoT). An experimental setup is used to evaluate the performance of this integration, in which the end-to-end latency is slightly increased when a new endorsed element is added. However, the system reliability, privacy, and interoperability are guaranteed. In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 Carrillo, Duc Nguyen, Nardelli, Pournaras, Morita, Rodríguez, Dzaferagic, Siljak, Jung, Hébert-Dufresne, Macaluso, Ullah, Fraidenraich and Popovski. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: | COVID-19; epidemiological warning system; wireless; privacy-preserving data collection; communication networks |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Sep 2023 09:51 |
Last Modified: | 04 Sep 2023 09:51 |
Published Version: | https://www.frontiersin.org/articles/10.3389/frcmn... |
Status: | Published |
Publisher: | Frontiers Media |
Identification Number: | 10.3389/frcmn.2021.621264 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202980 |