Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
- 1Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden
- 2Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom
A Corrigendum on
Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
by Dórea, F. C. and Revie, C. W. (2021). Front. Vet. Sci. 8:633977. doi: 10.3389/fvets.2021.633977
In the original article, a potential conflict of interest was not declared. The corrected Conflict of Interest statement appears below.
“The reviewers JA and JB declare a past co-authorship with one of the authors FD and state that the process nevertheless met the standards of a fair and objective review.”
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: epidemiology, machine learning, big data, data analyses, linked data
Citation: Dórea FC and Revie CW (2021) Corrigendum: Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making. Front. Vet. Sci. 8:789696. doi: 10.3389/fvets.2021.789696
Received: 05 October 2021; Accepted: 06 October 2021;
Published: 01 November 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Dórea and Revie. 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: Fernanda C. Dórea, fernanda.dorea@sva.se