It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
The new type of coronaviruses (COVID-19) crisis has had a devastating impact across the world. Public administration discipline addresses emergency crisis management in various ways and dimensions. This article seeks answers to the question “How AI can contribute to crisis management policies to fight against COVID-19 and its impacts?” To this, the techniques and methods of AI in fighting against the COVID-19 virus will be explained in various dimensions. AI can make significant contributions in the preparation, mitigation-prevention, response, and recovery policies in the COVID-19 pandemic crisis. If adopted, AI can be used to find better treatment routes and drug development. Equally, policymakers can benefit from AI as decision support to reach high-quality decisions through fast and accurate data. The paper concludes that governments should create and implement effective AI-based crisis management strategies to fight against the epidemic locally, regionally, nationally, and internationally with a multi-level governance perspective.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Ankara Yildirim Beyazit University, Turkey
2 University of Exeter, UK
© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.