COVID-19: Integrating Artificial Intelligence, Data Science, Mathematics, Medicine and Public Health, Epidemiology, Neuroscience, and Biomedical Science in Pandemic Management

630.7K

views

806

authors

95

articles

COVID-19: Integrating Artificial Intelligence, Data Science, Mathematics, Medicine and Public Health, Epidemiology, Neuroscience, and Biomedical Science in Pandemic Management

630.7K

views

806

authors

95

articles

Editors

6

Reza Lashgari

Shahid Beheshti University

Atefeh Abedini

Shahid Beheshti University of Medical Sciences

Babak A Ardekani

Nathan Kline Institute for Psychiatric Research

Arda Kiani

Shahid Beheshti University of Medical Sciences

Seyed Alireza Nadji

Virology Research Center, Shahid Beheshti University of Medical Sciences

Ali Yousefi

Worcester Polytechnic Institute

Impact

Fetching...

About

The outbreak of Coronavirus Disease 2019 (COVID-19) has seriously impacted mental and physical health worldwide. New and emerging solutions to global health threats posted by COVID-19 are urgently needed. We now understand that there are considerable variations in disease severity, symptoms, outcomes, and mortality rates with respect to variables such as age, geographical location, underlying medical conditions, sex, and other factors. Accordingly, a large number of scientists and researchers with broad backgrounds, including artificial intelligence, have been recently mobilized to help predict disease course and evolution and devise strategies to restrain and manage COVID-19. This special issue brings together scientists and clinicians in artificial intelligence, mathematics and statistics, neural science, robotics, social sciences, computational biology, medical health care, psychiatry, and psychology, in order to promote COVID-19 research and stimulate collaboration between researchers in these diverse fields. This special issue intends to cover recent research directions and activities dedicated to analysis, diagnosis, treatment, and modeling of mechanisms related to COVID-19.

We welcome submissions of original research papers from basic and clinical sciences broadly related to the application of artificial intelligence, neuroscience, robotics, computational biology, and medical impact on COVID-19. Original research COVID-19-related articles in clinical and public health, case reports, methodology, and modeling as well as reviews are welcomed. Research articles related to experimental studies using state-of-the-art imaging and clinical measurements as well as experimentally based computational and biologically inspired neural networks are particularly appropriate for this issue.

Download ebook

PDF

EPUB

Share

Editors

Reza Lashgari

Shahid Beheshti University

Atefeh Abedini

Shahid Beheshti University of Medical Sciences

Babak A Ardekani

Nathan Kline Institute for Psychiatric Research

Arda Kiani

Shahid Beheshti University of Medical Sciences

Seyed Alireza Nadji

Virology Research Center, Shahid Beheshti University of Medical Sciences

Ali Yousefi

Worcester Polytechnic Institute

Impact

630,683 Total views

514,630 Article views

109,186 Article downloads

6,867 Topic views

Published In

Frontiers in Neurorobotics

Frontiers in Medicine

Pulmonary Medicine, Infectious Diseases – Surveillance, Prevention and Treatment

Frontiers in Big Data

Medicine and Public Health

Frontiers in Artificial Intelligence

Medicine and Public Health

Frontiers in Human Neuroscience

Brain Health and Clinical Neuroscience

Frontiers in Public Health

Infectious Diseases – Surveillance, Prevention and Treatment

Frontiers in Computational Neuroscience

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic