Evidence map›Paper›PMID 33961583›Full record

ReviewJournal of medical Internet research2021

Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights.

Zhaohui Su, Dean McDonnell, Barry L Bentley, Jiguang He, Feng Shi, Ali Cheshmehzangi, Junaid Ahmad, Peng Jia

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Ethical Considerations of Using ChatGPT in Health Care.Journal of medical Internet research · 2023
    Article
  4. Article
  5. How to avoid future "Covid-19 origins" questions?Ethics, medicine, and public health · 2022
    Article
  6. Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.International journal of environmental research and public health · 2022
    Review
  7. Review
  8. Article
  9. A call to ban the sale of tobacco products.Frontiers in public health · 2022
    Article
  10. Article
  11. Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights.International journal of environmental research and public health · 2021
    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

8 authors.

Zhaohui Su *Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX, United States.ORCID 0000-0003-2005-9504
Dean McDonnell *Department of Humanities, Institute of Technology Carlow, Carlow, Ireland.ORCID 0000-0001-6043-8272
Barry L Bentley *Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, United Kingdom.ORCID 0000-0002-4360-5902
Jiguang HeCentre for Wireless Communications, University of Oulu, Oulu, Finland.ORCID 0000-0002-6227-2138
Feng ShiDepartment of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China.ORCID 0000-0003-1522-9943
Ali CheshmehzangiFaculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China.ORCID 0000-0003-2657-4865
Junaid AhmadPrime Institute of Public Health, Peshawar Medical College, Peshawar, Pakistan.ORCID 0000-0002-8580-7529
Peng JiaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0003-0110-3637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith advances in science and technology, biotechnology is becoming more accessible to people of all demographics. These advances inevitably hold the promise to improve personal and population well-being and welfare substantially. It is paradoxical that while greater access to biotechnology on a population level has many advantages, it may also increase the likelihood and frequency of biodisasters due to accidental or malicious use. Similar to "Disease X" (describing unknown naturally emerging pathogenic diseases with a pandemic potential), we term this unknown risk from biotechnologies "Biodisaster X." To date, no studies have examined the potential role of information technologies in preventing and mitigating Biodisaster X.

objectiveThis study aimed to explore (1) what Biodisaster X might entail and (2) solutions that use artificial intelligence (AI) and emerging 6G technologies to help monitor and manage Biodisaster X threats.

methodsA review of the literature on applying AI and 6G technologies for monitoring and managing biodisasters was conducted on PubMed, using articles published from database inception through to November 16, 2020.

resultsOur findings show that Biodisaster X has the potential to upend lives and livelihoods and destroy economies, essentially posing a looming risk for civilizations worldwide. To shed light on Biodisaster X threats, we detailed effective AI and 6G-enabled strategies, ranging from natural language processing to deep learning-based image analysis to address issues ranging from early Biodisaster X detection (eg, identification of suspicious behaviors), remote design and development of pharmaceuticals (eg, treatment development), and public health interventions (eg, reactive shelter-at-home mandate enforcement), as well as disaster recovery (eg, sentiment analysis of social media posts to shed light on the public's feelings and readiness for recovery building).

conclusionsBiodisaster X is a looming but avoidable catastrophe. Considering the potential human and economic consequences Biodisaster X could cause, actions that can effectively monitor and manage Biodisaster X threats must be taken promptly and proactively. Rather than solely depending on overstretched professional attention of health experts and government officials, it is perhaps more cost-effective and practical to deploy technology-based solutions to prevent and control Biodisaster X threats. This study discusses what Biodisaster X could entail and emphasizes the importance of monitoring and managing Biodisaster X threats by AI techniques and 6G technologies. Future studies could explore how the convergence of AI and 6G systems may further advance the preparedness for high-impact, less likely events beyond Biodisaster X.

Indexed as

Artificial IntelligenceBiotechnologyBioterrorismDeep LearningDisastersForecastingHumansNatural Language ProcessingPandemicsSocial Media6Gartificial intelligencebiodisastersbiodisaster XbiosafetybiosurveillancebiotechnologybioterrorismCOVID-19disease Xsixth-generation technologies

Identifiers

PMID33961583
PMCPMC8153034

What Socratic 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 Socratic graph.