Evidence map›Paper›PMID 35208634›Full record

ReviewMedicina (Kaunas, Lithuania)2022

A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives.

Ishwa Shah, Chelsy Doshi, Mohil Patel, Sudeep Tanwar, Wei-Chiang Hong, Ravi Sharma

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A Systematic Review on the Mental Health Status of Patients Infected With Monkeypox Virus.Journal of the Korean Academy of Child and Adolescent Psychiatry · 2024
    Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ishwa ShahDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India.ORCID 0000-0002-4220-8008
Chelsy DoshiDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India.
Mohil PatelDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India.
Sudeep TanwarDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India.ORCID 0000-0002-1776-4651
Wei-Chiang HongDepartment of Information Management, Asia Eastern University of Science and Technology, New Taipei 22064, Taiwan.ORCID 0000-0002-3001-2921
Ravi SharmaCentre for Inter-Disciplinary Research and Innovation, University of Petroleum and Energy Studies, P.O. Bidholi Via-Prem Nagar, Dehradun 248007, Uttarakhand, India.

Funding

Ministry of Science and Technology MOST 110-2410-H-161-001
6 · The paper itself

Abstract

A coronavirus outbreak caused by a novel virus known as SARS-CoV-2 originated towards the latter half of 2019. COVID-19's abrupt emergence and unchecked global expansion highlight the inability of the current healthcare services to respond to public health emergencies promptly. This paper reviews the different aspects of human life comprehensively affected by COVID-19. It then discusses various tools and technologies from the leading domains and their integration into people's lives to overcome issues resulting from pandemics. This paper further focuses on providing a detailed review of existing and probable Artificial Intelligence (AI), Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), and Blockchain-based solutions. The COVID-19 pandemic brings several challenges from the viewpoint of the nation's healthcare, security, privacy, and economy. AI offers different predictive services and intelligent strategies for detecting coronavirus signs, promoting drug development, remote healthcare, classifying fake news detection, and security attacks. The incorporation of AI in the COVID-19 outbreak brings robust and reliable solutions to enhance the healthcare systems, increases user's life expectancy, and boosts the nation's economy. Furthermore, AR/VR helps in distance learning, factory automation, and setting up an environment of work from home. Blockchain helps in protecting consumer's privacy, and securing the medical supply chain operations. IoT is helpful in remote patient monitoring, distant sanitising via drones, managing social distancing (using IoT cameras), and many more in combating the pandemic. This study covers an up-to-date analysis on the use of blockchain technology, AI, AR/VR, and IoT for combating COVID-19 pandemic considering various applications. These technologies provide new emerging initiatives and use cases to deal with the COVID-19 pandemic. Finally, we discuss challenges and potential research paths that will promote further research into future pandemic outbreaks.

Indexed as

COVID-19PandemicsArtificial IntelligenceHumansSARS-CoV-2TechnologybehaviouralCOVID-19healthcarehuman livessocial

Identifiers

PMID35208634
PMCPMC8879197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.