The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Detection of COVID-19: A review of the current literature and future perspectives
Open accessAbstract
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. This unprecedented situation has garnered worldwide attention. An effective strategy for controlling the COVID-19 pandemic is to develop highly accurate methods for the rapid identification and isolation of SARS-CoV-2 infected patients. Many companies and institutes are therefore striving to develop effective methods for the rapid detection of SARS-CoV-2 ribonucleic acid (RNA), antibodies, antigens, and the virus. In this review, we summarize the structure of the SARS-CoV-2 virus, its genome and gene expression characteristics, and the current progression of SARS-CoV-2 RNA, antibodies, antigens, and virus detection. Further, we discuss the reasons for the observed false-negative and false-positive RNA and antibody detection results in practical clinical applications. Finally, we provide a review of the biosensors which hold promising potential for point-of-care detection of COVID-19 patients. This review thereby provides general guidelines for both scientists in the biosensing research community and for those in the biosensor industry to develop a highly sensitive and accurate point-of-care COVID-19 detection system, which would be of enormous benefit for controlling the current COVID-19 pandemic.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970
Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020) · Science · doi:10.1126/science.abb3221 · Cited by 3,633
Self-citationAntibody responses to SARS-CoV-2 in patients with COVID-19
Long, Q.-X., Liu, B.-Z., Deng, H.-J., Wu, G.-C., Deng, K., Chen, Y.-K., Liao, P., Qiu, J.-F., Lin, Y., Cai, X.-F., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0897-1 · Cited by 2,876
Self-citationAntibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
Zhao, J., Yuan, Q., Wang, H., Liu, W., Liao, X., Su, Y., Wang, X., Yuan, J., Li, T., Li, J., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa344 · Cited by 2,607
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30074-7 · Cited by 2,550
Xie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., & Liu, J. (2020) · Radiology · doi:10.1148/radiol.2020200343 · Cited by 1,960
Pan, L., Mu, M., Yang, P., Sun, Y., Wang, R., Yan, J., Li, P., Hu, B., Wang, J., Hu, C., et al. (2020) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000620 · Cited by 1,823
Shen, Z., Xiao, Y., Kang, L., Ma, W., Shi, L., Zhang, L., Zhou, Z., Yang, J., Zhong, J., Yang, D., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa203 · Cited by 513 · cited 1×
“DNA sequencing technology can be used to explore novel mutations and the evolution of SARS-CoV-2 isolates (Shen et al., 2020).”
Background
Cited by
Two-Dimensional Field-Effect Transistor Sensors: The Road toward Commercialization
Dai, C., Liu, Y., & Wei, D. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00924 · Cited by 303
Pang, B., Xu, J., Liu, Y., Peng, H., Feng, W., Cao, Y., Wu, J., Xiao, H., Pabbaraju, K., Tipples, G., et al. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c04047 · Cited by 265
Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management
Lukas, H., Xu, C., Yu, Y., & Gao, W. (2020) · ACS Nano · doi:10.1021/acsnano.0c08494 · Cited by 265
Bayoudh, K., Hamdaoui, F., & Mtibaa, A. (2020) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-020-00957-1 · Cited by 50
Metadata
- Authors
- Ji, T., Liu, Z., Wang, G., Guo, X., Akbar khan, S., Lai, C., Chen, H., Huang, S., Xia, S., Chen, B., Jia, H., Chen, Y., & Zhou, Q.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 166
- Pages
- 112455
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W3044223324
- Cited by
- 383
- References
- 9
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Detection of COVID-19: A review of the current literature and future perspectives. https://app.cochat.ai/papers/10.1016/j.bios.2020.112455
- The paper
- Ji, T., Liu, Z., Wang, G., Guo, X., Akbar khan, S., Lai, C., Chen, H., Huang, S., Xia, S., Chen, B., Jia, H., Chen, Y., & Zhou, Q. (2020). Detection of COVID-19: A review of the current literature and future perspectives. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2020.112455
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.