Promising on-site and rapid Sars-CoV-2 detection via antigens
Bibliographic Data
| ID | 22066452 |
|---|---|
| Authors | Jian Zhang (0000-0001-7681-8747, Wenzhou University), Haochen Qi (0009-0006-0582-7164, Wenzhou University), Jie Wu (0000-0002-1389-6964, University of Tennessee at Knoxville, corresponding author), Jayne Wu (0000-0001-5143-9425, University of Tennessee at Knoxville, corresponding author), Xiaochun Guan (0000-0003-3021-9102, Wenzhou University), Hu Zhi (0000-0002-0382-7770, Zhejiang Gongshang University), Zhiwen Hu (0000-0002-2615-4900), Lei Zheng (0000-0003-4015-0110, Hefei University of Technology, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 978064-978064 |
| Publication date | 2022-10-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.978064 |
| PMID | 36299753 |
| OpenAlex | W4303969205 |
| Language | EN |
| References cited | 18 |
OPINION article Front. Public Health, 10 October 2022Sec. Infectious Diseases – Surveillance, Prevention and Treatment Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.978064
2019-20 coronavirus outbreak · Antigen · Outbreak · Pathology · Public health · Public health surveillance · COVID-19 diagnosis using AI · Medicine · SARS-CoV-2 and COVID-19 Research · SARS-CoV-2 detection and testing · Immunology · Virology
| Highly cited | No |
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