Dmytro Chumachenko
1*
Plinio P. Morita
2
Saman Ghaffarian
3
Tetyana Chumachenko
4The final, formatted version of the article will be published soon.
EDITORIAL article
Front. Public Health
Sec. Digital Public Health
Volume 12 - 2024 |
doi: 10.3389/fpubh.2024.1439914
This article is part of the Research Topic Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities View all 26 articles
Editorial: Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities
Provisionally accepted- 1 National Aerospace University – Kharkiv Aviation Institute, Kharkiv, Ukraine
- 2 University of Waterloo, Waterloo, Ontario, Canada
- 3 University College London, London, England, United Kingdom
- 4 Kharkiv National Medical University, Kharkiv, Ukraine
Keywords: artificial intelligence, Public Health, global health, Disaster response, Risk Assessment
Received: 28 May 2024; Accepted: 29 Jul 2024.
Copyright: © 2024 Chumachenko, Morita, Ghaffarian and Chumachenko. 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) or licensor 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:
Dmytro Chumachenko, National Aerospace University – Kharkiv Aviation Institute, Kharkiv, Ukraine
Disclaimer: 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.