Epidemiological characteristics and serum antibody detection of a COVID-19 aggregated outbreak in vaccinated population / 中华预防医学杂志
Zhonghua Yu Fang Yi Xue Za Zhi
; (12): 728-731, 2023.
Article
in Zh
| WPRIM
| ID: wpr-985464
Responsible library:
WPRO
ABSTRACT
An epidemiological investigation was conducted on a cluster epidemic of COVID-19 in the vaccinated population in Beijing in 2022, and serum samples were collected from 21 infected cases and 61 close contacts (including 20 cases with positive nucleic acid in the isolation observation period). The results of antibody detection showed that the IgM antibody of two infected persons was positive, and the IgG antibody positive rates of patients who were converted, not converted to positive and infected persons were 36.84% (7/19), 63.41% (26/41) and 71.43% (15/21), respectively. About 98.78% of patients had been vaccinated with the SARS-CoV-2 inactivated vaccine. The positive rate of IgG antibody in patients immunized with three doses of vaccine was 86.00% (43/50), which was higher than that in patients with one or two doses [16.12% (5/31)]. The antibody level of M (Q1, Q3) in patients immunized with three doses was 4.255 (2.303, 7.0375), which was higher than that in patients with one or two doses [0.500 (0.500, 0.500)] (all P values<0.001). The antibody level of patients who were vaccinated less than three months [7.335 (1.909, 7.858)] was higher than that of patients vaccinated more than three months after the last vaccination [2.125 (0.500, 4.418)] (P=0.007). The positive rate and level of IgG antibody in patients who were converted to positive after three doses were 77.78% (7/9) and 4.207 (2.216, 7.099), respectively, which were higher than those in patients who were converted after one or two doses [0 and 0.500 (0.500, 0.500)] (all P values<0.05).
Full text:
1
Database:
WPRIM
Main subject:
Immunoglobulin G
/
Disease Outbreaks
/
COVID-19 Vaccines
/
SARS-CoV-2
/
COVID-19
/
Antibodies, Viral
Limits:
Humans
Language:
Zh
Journal:
Zhonghua Yu Fang Yi Xue Za Zhi
Year:
2023
Document type:
Article