Analysis and Evaluation of COVID-19 Web Applications for Health Professionals: Challenges and Opportunities.

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Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
07 Nov 2020
Historique:
received: 29 09 2020
revised: 31 10 2020
accepted: 02 11 2020
entrez: 11 11 2020
pubmed: 12 11 2020
medline: 12 11 2020
Statut: epublish

Résumé

The multidisciplinary nature of the work required for research in the COVID-19 pandemic has created new challenges for health professionals in the battle against the virus. They need to be equipped with novel tools, applications, and resources-that have emerged during the pandemic-to gain access to breakthrough findings; know the latest developments; and to address their specific needs for rapid data acquisition, analysis, evaluation, and reporting. Because of the complex nature of the virus, healthcare systems worldwide are severely impacted as the treatment and the vaccine for COVID-19 disease are not yet discovered. This leads to frequent changes in regulations and policies by governments and international organizations. Our analysis suggests that given the abundance of information sources, finding the most suitable application for analysis, evaluation, or reporting, is one of such challenges. However, health professionals and policy-makers need access to the most relevant, reliable, trusted, and latest information and applications that can be used in their day-to-day tasks of COVID-19 research and analysis. In this article, we present our analysis of various novel and important

Identifiants

pubmed: 33171711
pii: healthcare8040466
doi: 10.3390/healthcare8040466
pmc: PMC7712438
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Taif University
ID : 1-441-75

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Auteurs

Hamid Mukhtar (H)

Department of Computer Science, SEECS, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Department of Computer Science, College of CIT, Taif University, Taif 21944, Saudi Arabia.

Hafiz Farooq Ahmad (HF)

College of Computer Sciences and Information Technology (CCSIT), King Faisal University, Alahssa 31982, Saudi Arabia.

Muhammad Zahid Khan (MZ)

Department of Computer Science & I.T, University of Malakand, Chakdara 18800, Pakistan.

Nasim Ullah (N)

Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Classifications MeSH