Ontology highlight
ABSTRACT:
SUBMITTER: Nasrallah GK
PROVIDER: S-EPMC8178338 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Nasrallah Gheyath K GK Dargham Soha R SR Shurrab Farah F Al-Sadeq Duaa W DW Al-Jighefee Hadeel H Chemaitelly Hiam H Al Kanaani Zaina Z Al Khal Abdullatif A Al Kuwari Einas E Coyle Peter P Jeremijenko Andrew A Kaleeckal Anvar Hassan AH Latif Ali Nizar AN Shaik Riyazuddin Mohammad RM Rahim Hanan F Abdul HFA Yassine Hadi M HM Al Kuwari Mohamed G MG Qotba Hamda H Al Romaihi Hamad Eid HE Tang Patrick P Bertollini Roberto R Al-Thani Mohamed H MH Althani Asmaa A AA Abu-Raddad Laith J LJ
Scientific reports 20210604 1
Performance of three automated commercial serological IgG-based assays was investigated for assessing SARS-CoV-2 "ever" (past or current) infection in a population-based sample in a high exposure setting. PCR and serological testing was performed on 394 individuals. SARS-CoV-2-IgG seroprevalence was 42.9% (95% CI 38.1-47.8%), 40.6% (95% CI 35.9-45.5%), and 42.4% (95% CI 37.6-47.3%) using the CL-900i, VidasIII, and Elecsys assays, respectively. Between the three assays, overall, positive, and neg ...[more]