Fighting COVID-19: Emerging Techniques and Aid Systems for Prevention, Forecasting and Diagnosis
This special issue belongs to the section "Computing and Artificial Intelligence".
Special Issue Information
Dear Colleagues,
The current pandemic situation caused by the COVID-19 outbreak has plunged humanity into a continuous state of fear, the outcome of which is not yet known.
Among the reasons that have caused this spread are the lack of foresight, the lack of sanitary measures, and the disinformation.
The scientific community must play a leading role at this time, and it is our obligation to step forward to assist in the eradication of this virus.
For this purpose, it is important to find mechanisms, techniques and/or systems capable of helping during the various stages of this pandemic: evolution, early diagnosis, prevention of spread, isolation measures, etc.
The main objective of this Special Issue is to unify the work done for this purpose by the multiple scientific branches that are currently working to help in this task.
We will overcome this crisis together without any doubt.
Prof. Dr. Anton Civit
Dr. Manuel Dominguez-Morales
Guest Editors
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Keywords
- Statistical studies of evolution and future trends of COVID-19
- Machine learning techniques for diagnosis COVID-19
- Medical images analysis for diagnosis COVID-19
- Experimental studies about COVID-19 characteristics
- Wearable systems to prevent the contagion of COVID-19
- Apps for tracking and prevention of COVID-19
- Systems, mechanisms, and techniques to avoid the spread of COVID-19
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Published Papers
Appl. Sci. - ISSN 2076-3417