ArticleComputational intelligence and neuroscience2022
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed, 87 citations in OpenAlex.
- Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness.NPJ digital medicine · 2025Review
- Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.Blockchain in healthcare today · 2025Article
- Evaluating CFIR 2.0 in identifying digital twin implementation challenges in healthcare: bridging the dichotomy between engineering and healthcare communities.Frontiers in digital health · 2025Article
- Simulation-based assessment of digital twin systems for immunisation.Frontiers in digital health · 2025Article
- TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.Frontiers in public health · 2025Article
- Review
- Digital Twins of Biological Systems: A Narrative Review.IEEE open journal of engineering in medicine and biology · 2024Article
- Literature review of digital twin in healthcare.Heliyon · 2023Article
- Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Multi-robot task assignment for serving people quarantined in multiple hotels during COVID-19 pandemic.Quantitative imaging in medicine and surgery · 2023Article
- A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.Computer methods and programs in biomedicine · 2022Article
- Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry.Sensors (Basel, Switzerland) · 2022Article
- Knowledge, perceived risk, and attitudes towards COVID-19 protective measures amongst ethnic minorities in the UK: A cross-sectional study.Frontiers in public health · 2022Article
- COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches.Journal of healthcare engineering · 2022Article
- Limiting medical certainties? Funding challenges for German and comparable public healthcare systems due to AI prediction and how to address them.Frontiers in artificial intelligence · 2022Review
- Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions.Frontiers in digital health · 2022Review
- COVID-19 Pandemic and the Operation of a Tertiary Hospital in Tianjin-The Impact of Internet Healthcare on Hospital Business Indicators.Frontiers in public health · 2022Article
- Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic crisis. Also, acquiring secure real-time data exchange and analysis across multiple participants is essential to support the efforts against COVID-19. Therefore, we have introduced a blockchain-based collaborative digital twins framework for decentralized epidemic alerting to combat COVID-19 and any future pandemics. The framework has been proposed to bring together the existing advanced technologies (i.e., blockchain, digital twins, and AI) and then provide a solution to decentralize epidemic alerting to combat COVID-19 outbreaks. Also, we have described how the conceptual framework can be applied in the decentralized COVID-19 pandemic alerting use case.
Indexed as
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What OpenQuestion holds
Registered trials
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.