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.

Highlights

  • Introduction and Overview of CoronavirusesThere are, to date, 15,033,861 cases of Coronavirus disease (COVID-19) including 618,061 deaths worldwide

  • COVID-19 virus and propagation mechanism behaviors of the virus based on human exchange eye surface corneal, It Willcox showedetthat infection could lead to mildaffected signs and pneumonia which transmission al. studied the coronavirus disease with conjunctivalsymptoms, eye surface corneal, It showed that infection could lead to mild signs and pneumonia symptoms, which is rarely found [63,64]

  • This review summarizes a comprehension of infection transmission of Severe Acute Respiratory Syndrome (SARS)-CoV-2 Structure and GenomeCoronaviruses (CoVs)-2 and knowledge of the state of art diagnostic methods approach based on biosensor applications, artificial imaging techniques and mentioned challenges with a viewpoint

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Summary

Introduction and Overview of Coronaviruses

There are, to date, 15,033,861 cases of Coronavirus disease (COVID-19) including 618,061 deaths worldwide. The following part describes the structure and genome of SARS-CoV-2

SARS-CoV-2 Structure and Genome
Background
A Localized
COVID-19 Transmission Styles
Environment to Human
Human Exchange
Animals to Human
Human to Others
19 February 2020
Based on Artificial Intelligence Techniques
19 February
Multiple Classifications
Mixed Multiple and Binary Classifications
Hybrid Hierarchical
Electrochemical
Electronic Biosensors
Physical Biosensors
Optical Biosensors
29 Oct 2018
Enhancement Design of Sensor Output Performance
Sensitivity
Signal Noise Ratio
Detection Limitation
Monitoring and Diagnosing the COVID-19 Virus in the Environment
Limitation
Collection and Transport of Samples
AI Image Techniques
Biosensors
Findings
Conclusions and Future Perspectives
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