| Literature DB >> 35475117 |
Mohammed W Alenazi1,2, Abdullah Algaisi3, Hosam M Zowawi1,2, Omar Aldibasi1,2, Anwar M Hashem4,5, Naif Khalaf Alharbi1,2.
Abstract
Severe acute respiratory syndrome coronavirus (SARS-CoV-2) emerged in December 2019 and caused a global pandemic of the Coronavirus Disease 2019 (COVID-19). More than 170 million cases have been reported worldwide with mortality rate of 1-3%. The detection of SARS-CoV-2 by molecular testing is limited to acute infections, therefore serological studies provide a better estimation of the virus spread in a population. This study aims to evaluate the seroprevalence of SARS-CoV-2 in the major city of Riyadh, Saudi Arabia during the sharp increase of the pandemic, in June 2020. Serum samples from non-COVID patients (n = 432), patients visiting hospitals for other complications and confirmed negative for COVID-19, and healthy blood donors (n = 350) were collected and evaluated using an in-house enzyme-linked immunosorbent assay (ELISA). The overall percentage of positive samples was 7.80% in the combined two populations (n = 782). The seroprevalence was lower in the blood donors (6%) than non-COVID-19 patients (9.25%), p = 0.0004. This seroprevalence rate is higher than the documented cases, indicating asymptomatic or mild unreported COVID-19 infections in these two populations. This warrants further national sero-surveys and highlights the importance of real-time serological surveillance during pandemics.Entities:
Keywords: Blood donors; COVID-19; ELISA; SARS-CoV-2; Seroprevalence
Year: 2022 PMID: 35475117 PMCID: PMC9027288 DOI: 10.1016/j.sjbs.2022.103282
Source DB: PubMed Journal: Saudi J Biol Sci ISSN: 2213-7106 Impact factor: 4.052
Fig. 1Seropositivity of sera from blood donors and non-COVID-19 patients from Riyadh, Saudi Arabia, June 2020. In-house ELISA for anti-SARS-CoV-2 spike IgG antibodies for serum samples from non-COVID-19 patients (A) and blood donors (B) were evaluated along with positive and negative control samples. The in-house ELISA's cut-off value was calculated as the average of negative controls plus three times the standard deviation.