ReviewSensors (Basel, Switzerland)2020
An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled 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.
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
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.Journal of medical Internet research · 2021Pooled it
- Evaluation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using a high figure-of-merit plasmonic multimode refractive index optical sensor.Scientific reports · 2024Article
- Label-Free Biochemical Sensing Using Processed Optical Fiber Interferometry: A Review.ACS omega · 2024Review
- A lightweight CORONA-NET for COVID-19 detection in X-ray images.Expert systems with applications · 2023Article
- Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants.The Science of the total environment · 2023Review
- Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique.Applied soft computing · 2023Article
- Review
- SARS-CoV-2 Morphometry Analysis and Prediction of Real Virus Levels Based on Full Recurrent Neural Network Using TEM Images.Viruses · 2022Article
- Review
- SPR Based Biosensing Chip for COVID-19 Diagnosis-A Review.IEEE sensors journal · 2022Article
- Utilizing Electrochemical-Based Sensing Approaches for the Detection of SARS-CoV-2 in Clinical Samples: A Review.Biosensors · 2022Review
- Photonics enabled intelligence system to identify SARS-CoV 2 mutations.Applied microbiology and biotechnology · 2022Review
- A Study of the Detection of SARS-CoV-2 ORF1ab Gene by the Use of Electrochemiluminescent Biosensor Based on Dual-Probe Hybridization.Sensors (Basel, Switzerland) · 2022Article
- A review on corona virus disease 2019 (COVID-19): current progress, clinical features and bioanalytical diagnostic methods.Mikrochimica acta · 2022Review
- SARS-CoV-2 Detection Using Optical Fiber Based Sensor Method.Sensors (Basel, Switzerland) · 2022Article
- Tuning and Sensitivity Improvement of Bi-Metallic Structure-Based Surface Plasmon Resonance Biosensor with 2-DPlasmonics (Norwell, Mass.) · 2022Article
- Specific intracellular signature of SARS-CoV-2 infection using confocal Raman microscopy.Communications chemistry · 2022Article
- Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health.Computational intelligence and neuroscience · 2022Article
- Human Body Performance with COVID-19 Affectation According to Virus Specification Based on Biosensor Techniques.Sensors (Basel, Switzerland) · 2021Review
- Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review.Robotics and autonomous systems · 2021Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Timely detection and diagnosis are essentially needed to guide outbreak measures and infection control. It is vital to improve healthcare quality in public places, markets, schools and airports and provide useful insights into the technological environment and help researchers acknowledge the choices and gaps available in this field. In this narrative review, the detection of coronavirus disease 2019 (COVID-19) technologies is summarized and discussed with a comparison between them from several aspects to arrive at an accurate decision on the feasibility of applying the best of these techniques in the biosensors that operate using laser detection technology. The collection of data in this analysis was done by using six reliable academic databases, namely, Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar and PubMed. This review includes an analysis review of three highlights: evaluating the hazard of pandemic COVID-19 transmission styles and comparing them with Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) to identify the main causes of the virus spreading, a critical analysis to diagnose coronavirus disease 2019 (COVID-19) based on artificial intelligence using CT scans and CXR images and types of biosensors. Finally, we select the best methods that can potentially stop the propagation of the coronavirus pandemic.
Indexed as
Identifiers
What Socratic 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 Socratic graph.