Application of SARS-CoV-2 Serology Testing: A Case Study
Masaki Yamamoto (),
Yasufumi Matsumura and
Miki Nagao
Additional contact information
Masaki Yamamoto: Kyoto University Graduate School of Medicine
Yasufumi Matsumura: Kyoto University Graduate School of Medicine
Miki Nagao: Kyoto University Graduate School of Medicine
Chapter Chapter 6 in Socio-Life Science and the COVID-19 Outbreak, 2022, pp 109-123 from Springer
Abstract:
Abstract Coronavirus disease 2019 (COVID-19) caused by the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in early December 2019, in Wuhan city, the capital city of Hubei Province. This virus spread easily and rapidly worldwide. A lot of serology testing for COVID-19 are now available, and very powerful tools to understand the immune response to SARS-CoV-2, vaccine efficacy, hard immunity among communities, and so on. However, there remains several uncertainties about serology testing, compared to the direct virus detection test, such as reverse transcription polymerase chain reaction (RT-PCR) and antigen test. In this chapter, we introduce the current understanding of serological testing for COVID-19 to clarify how to use and select during the COVID-19 pandemic.
Keywords: Sars-Cov-2; Serology testing; COVID-19 pandemic (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:eclchp:978-981-16-5727-6_6
Ordering information: This item can be ordered from
http://www.springer.com/9789811657276
DOI: 10.1007/978-981-16-5727-6_6
Access Statistics for this chapter
More chapters in Economics, Law, and Institutions in Asia Pacific from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().