IoT-Based COVID-19 Diagnosing and Monitoring Systems: A Survey

Author:

Anjum Nasreen1,Alibakhshikenari Mohammad2ORCID,Rashid Junaid3ORCID,Jabeen Fouzia4,Asif Amna4,Mohamed Ehab Mahmoud5ORCID,Falcone Francisco6ORCID

Affiliation:

1. Department of Cyber and Technical Computing, School of Computing and Engineering, University of Gloucestershire, Park Campus, Cheltenham, Gloucestershire, U.K.

2. Department of Signal Theory and Communications, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain

3. Department of Computer and Engineering, Kongju National University, Cheonan, South Korea

4. Department of Computer Science, Shaheed Benazir Bhutto Women University Peshawar, Peshawar, Pakistan

5. Department of Electrical Engineering, College of Engineering in Wadi Addawasir, Prince Sattam Bin Abdulaziz University, Wadi Addawasir, Saudi Arabia

6. Department of Electric, Electronic and Communication Engineering and the Institute of Smart Cities, Public University of Navarre, Pamplona, Spain

Funder

CONEX-Plus programme

Universidad Carlos III de Madrid and the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie

Ministerio de Ciencia, Innovación y Universidades, Gobierno de España

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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