Impact Score 1.16
A special issue of New Generation Computing solicits papers on the theme of Leveraging Artificial Intelligence in Global Epidemics.
Paper Submission Deadline: December 20th, 2020
Notification: February 1st, 2021
Revision Period: February 1st to March 15th, 2021
Publication: May 2021
During the submission stage, please select “Yes” for the question “Does this manuscript belong to a special feature?” in Additional Information tab, then select the special feature “S.I. : AI in Global Epidemics”.
Scope of This Issue
This call is open to all.
In the fight against epidemics, medical staff is on the front line; but behind the lines, the battle is fought by the government officials, researchers, and data scientists. Artificial Intelligence has been helping nations with computer modeling and simulation for predictions about e.g. the overall economic situation, tax incomes, and population development. In the same manner, AI can prepare the government for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting- edge role in the preparedness for and dealing with the outbreak situation of global epidemics. It can help the researchers analyze global data about known viruses to predict the knows-hows of the next pandemic and the impact it will have. Not only prediction, AI plays an increasingly important role in assessing a country’s readiness, early detection, identification of patients, generating recommendations, situation awareness, and more. It is upto the right input and the innovative ways by humans to leverage what AI can do.
As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. This special issue contains papers describing the role AI plays in various stages of a disease outbreak, with COVID-19 as a case study.
The special issue solicits submissions in two parts. Part I focusing on the perspectives and survey of existing scenarios and Part II consisting of research results in specified topics, but not limited to: