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COVID-19 Biosensing Technologies
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COVID-19 Biosensing Technologies

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (10 January 2023) | Viewed by 3737

Special Issue Editor

Dr. Junping Yu

E-Mail Website
Guest Editor
Wuhan Institute of Virology Chinese Academy of Sciences, University of Chinese Academy of Sciences, Wuhan, China
Interests: developing biosensor or PCR to detect pathogens rapidly and sensitively

Special Issue Information

Dear Colleagues,

COVID-19 has become a worldwide pandemic, challenging the public health systems around the world since December 2019. The rapid and accurate diagnosis of coronavirus infection plays a pivotal role in the prevention and treatment of COVID-19. The requisites of COVID-19 diagnostic devices are established by the World Health Organization as ASSURED: affordable, sensitive, specific, user-friendly, rapid and robust, equipment free, and deliverable to end-users. Biosensors are ideal candidates to meet these requirements. On account of the strong demand for rapid COVID-19 testing, scientists and engineers are working hard to develop novel sensors to identify COVID-19-related biomarkers in clinical and/or environmental samples.

This Special Issue is addressed to all types of biosensors designed to be suitable for not only for rapid coronavirus infection diagnosis in humans but also as a global screening tool for surveillance, prevention, and preparedness in the event of future outbreaks.

Dr. Junping Yu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biosensors
  • point-of-care testing (POCT)
  • microfluid device
  • nano-system
  • optical techniques
  • CRISPR–cas system

Published Papers (1 paper)

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Review

26 pages, 2130 KiB  
Review
COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers
by Yandre M. G. Costa, Sergio A. Silva, Jr., Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini, Alceu S. Britto, Jr., Luiz S. Oliveira and George D. C. Cavalcanti
Sensors 2022, 22(19), 7303; https://doi.org/10.3390/s22197303 - 26 Sep 2022
Cited by 6 | Viewed by 3355
Abstract
Since the beginning of the COVID-19 pandemic, many works have been published proposing solutions to the problems that arose in this scenario. In this vein, one of the topics that attracted the most attention is the development of computer-based strategies to detect COVID-19 [...] Read more.
Since the beginning of the COVID-19 pandemic, many works have been published proposing solutions to the problems that arose in this scenario. In this vein, one of the topics that attracted the most attention is the development of computer-based strategies to detect COVID-19 from thoracic medical imaging, such as chest X-ray (CXR) and computerized tomography scan (CT scan). By searching for works already published on this theme, we can easily find thousands of them. This is partly explained by the fact that the most severe worldwide pandemic emerged amid the technological advances recently achieved, and also considering the technical facilities to deal with the large amount of data produced in this context. Even though several of these works describe important advances, we cannot overlook the fact that others only use well-known methods and techniques without a more relevant and critical contribution. Hence, differentiating the works with the most relevant contributions is not a trivial task. The number of citations obtained by a paper is probably the most straightforward and intuitive way to verify its impact on the research community. Aiming to help researchers in this scenario, we present a review of the top-100 most cited papers in this field of investigation according to the Google Scholar search engine. We evaluate the distribution of the top-100 papers taking into account some important aspects, such as the type of medical imaging explored, learning settings, segmentation strategy, explainable artificial intelligence (XAI), and finally, the dataset and code availability. Full article
(This article belongs to the Special Issue COVID-19 Biosensing Technologies)
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