Serological evaluation and antibody prediction model for inactivated COVID-19 vaccination in school children
10.19428/j.cnki.sjpm.2024.23564
- VernacularTitle:浙江省某县中小学生新冠病毒灭活疫苗免疫效果预估模型建立
- Author:
Li ZHANG
1
;
Yingfeng CHEN
2
;
Chuanwu MAO
1
;
Yuyang XIE
2
;
Pinkai YE
2
;
Xiaolian DONG
2
;
Lufang JIANG
1
;
Qingwu JIANG
1
Author Information
1. School of Public Health, Fudan University, Shanghai 200032, China
2. Deqing County Center for Disease Control and Prevention, Huzhou, Zhejiang 313200, China
- Publication Type:Journal Article
- Keywords:
SARS-CoV-2;
inactivated vaccine;
school children;
vaccination effectiveness;
serological evaluation;
prediction model
- From:
Shanghai Journal of Preventive Medicine
2024;36(4):368-374
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.
