Leveraging Data Science To Combat COVID-19: A Comprehensive Review

Aug 28, 2020·
Siddique Latif
,
Muhammad Usman
,
Sanaullah Manzoor
Dr. Waleed Iqbal
Dr. Waleed Iqbal
,
Junaid Qadir
,
Gareth Tyson
,
Ignacio Castro
,
Adnan Noor Mian
,
Khaled Letaief
· 0 min read
Abstract
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation in March 2020. We systematise ongoing data science activities in this area: we review rapidly growing recent research, survey public datasets and repositories that can be used for further work to track COVID-19 spread and mitigation, present a bibliometric analysis of papers produced in this short span of time, and highlight common challenges and pitfalls observed across the surveyed works.
Type
Publication
IEEE Transactions on Artificial Intelligence
publications
COVID-19 Data Science Review
Dr. Waleed Iqbal
Authors
Dr. Waleed Iqbal

I am Waleed Iqbal, an Assistant Professor in Data Science at Northeastern University, based at their London Campus.

I also hold positions of Teaching Fellow in Computer Science at the School of Electronic Engineering and Computer Science, Queen Mary University of London and Associate Lecturer at Arden University London.

I received my PhD in Computer Science under the supervision of Dr. Ignacio Castro and Prof. Gareth Tyson in the Social Data Science (SDS) Lab, Networks Research Group at Queen Mary University of London.

My research interests are broadly in manifestation of socio-economic inequality in online user activity.

Previously, I worked at IHSAN Lab in Information Technology University Lahore, Pakistan, supervised by Prof. Dr. Junaid Qadir as a postgraduate thesis student, affiliated researcher, and teaching assistant.

Since September 2023, I am endorsed and recognised as UK Global Talent (Exceptional Promise) in the Research and Academic Category by the Royal Academy of Engineering UK and granted Global Talent Visa by the Government of the United Kingdom.