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Dick Carrillo1,2*
Lam Duc Nguyen3
Pedro H. J. Nardelli1
Evangelos Pournaras4
Plinio Morita5
Demóstenes Z. Rodríguez6
Merim Dzaferagic7
Harun Siljak7Alexander Jung8
Laurent Hébert-Dufresne9
Irene Macaluso6
Mehar Ullah1
Gustavo Fraidenraich2
Petar Popovski3- 1School of Energy Systems, Lappeenranta-Lahti University of Technology, Lappeenranta, Finland
- 2Department of Communications, University of Campinas, Campinas, Brazil
- 3Department of Electronic Systems, Aalborg University, Aalborg, Denmark
- 4School of Computing, University of Leeds, Leeds, United Kingdom
- 5School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada
- 6Department of Computer Science, Federal University of Lavras, Lavras, Brazil
- 7Department of Electronic and Electrical Engineering, Trinity College Dublin, Dublin, Ireland
- 8Department of Computer Science, Aalto University, Espoo, Finland
- 9College of Engineering and Mathematical Sciences, University of Vermont, Burlington, VT, United States
A Corrigendum on
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
by Carrillo D., Duc Nguyen L., Nardelli P. H. J., Pournaras E., Morita P., Rodríguez D. Z., Dzaferagic M., Siljak H., Jung A., Hébert-Dufresne L., Macaluso I., Ullah M., Fraidenraich G., and Popovski P. (2021). Front. Comms. Net. 2:621264. doi: 10.3389/frcmn.2021.621264
In the original article, there was a mistake in Figures 1, 3 as published. The mistake is related to the order presentation of these figures, they were swapped. The corrected Figures 1, 3 appears below.
FIGURE 1
FIGURE 1. A federated ubiquitous systems for epidemiological warning and response. An organic and bottom-up scaling at global level is envisioned based on active citizens’ participation. Decentralized privacy-preserving computations are performed from the edge to the cloud based on crowd-sourced obfuscated and anonymized data managed with distributed ledgers to empower trust. Incentive mechanisms for responsible data sharing align the public health mandate with citizens’ privacy and autonomy.
FIGURE 3
FIGURE 3. End-to-end latency performance of the proposed integration between DLT and NB-IoT with a different number of endorsed peers.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: COVID-19, epidemiological warning system, wireless, privacy-preserving data collection, communication networks
Citation: Carrillo D, Nguyen LD, Nardelli PHJ, Pournaras E, Morita P, Rodríguez DZ, Dzaferagic M, Siljak H, Jung A, Hébert-Dufresne L, Macaluso I, Ullah M, Fraidenraich G and Popovski P (2021) Corrigendum: Containing Future Epidemics With Trustworthy Federated Systems for Ubiquitous Warning and Response. Front. Comms. Net 2:721971. doi: 10.3389/frcmn.2021.721971
Received: 07 June 2021; Accepted: 16 July 2021;
Published: 06 September 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Carrillo, 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.
*Correspondence: Dick Carrillo, ZGljay5jYXJyaWxsby5tZWxnYXJlam9AbHV0LmZp