tetano
Editor, Senior Moderator
Front Public Health
. 2024 Dec 3:12:1420993.
doi: 10.3389/fpubh.2024.1420993. eCollection 2024. SARS-CoV-2 seroprevalence and antibody trajectories after easing of COVID-19 restrictions: a longitudinal study in China
Feng Ling[SUP] #[/SUP][SUP] 1 2 [/SUP], Zenghao Xu[SUP] #[/SUP][SUP] 2 [/SUP], Jimin Sun[SUP] 2 [/SUP], Xiaoxiao Wang[SUP] 2 [/SUP], Yan Feng[SUP] 2 [/SUP], Ying Liu[SUP] 2 [/SUP], Yijuan Chen[SUP] 2 [/SUP], Jinna Wang[SUP] 2 [/SUP], Zhiping Chen[SUP] 2 [/SUP], Kun Chen[SUP] 1 [/SUP]
Affiliations
Background: We aimed to evaluate the seroprevalence of SARS-CoV-2 and investigate the trajectories of protective immunity and associated risk factors in eastern China between March and November 2023 after the easing of COVID-19 restrictions.
Materials and methods: We conducted repeated population-based seroepidemiologic studies using a multistage, population-stratified, cluster random sampling method. We measured neutralizing antibodies (nAbs) using a fluorescence immunoassay. We calculated both overall and stratified seroprevalence. The latent class growth mixed model (LCGMM) was used to analyze the dynamic trajectories of antibodies, and a multinomial logistic regression model was used to identify factors associated with different antibody trajectory patterns.
Results: A total of 6,147 participants were included at baseline, with a median age of 53.61 years. Both observed and adjusted seroprevalence remained high and stable throughout the study period. The LCGMM identified four distinct antibody trajectories: 75.22% of participants had a high and stable antibody trajectory, while nearly 8% of them exhibited an increase, decline, or low-stable antibody trajectory. Younger participants, women, those fully vaccinated, and individuals with a history of previous infection were more likely to have high and stable antibody trajectories.
Conclusion: The majority of the population maintained sustained protective immunity after the outbreak, following the easing of COVID-19 restrictions across the country.
Keywords: COVID-19; China; SARS-CoV-2; risk factor; seroprevalence; trajectory.
. 2024 Dec 3:12:1420993.
doi: 10.3389/fpubh.2024.1420993. eCollection 2024. SARS-CoV-2 seroprevalence and antibody trajectories after easing of COVID-19 restrictions: a longitudinal study in China
Feng Ling[SUP] #[/SUP][SUP] 1 2 [/SUP], Zenghao Xu[SUP] #[/SUP][SUP] 2 [/SUP], Jimin Sun[SUP] 2 [/SUP], Xiaoxiao Wang[SUP] 2 [/SUP], Yan Feng[SUP] 2 [/SUP], Ying Liu[SUP] 2 [/SUP], Yijuan Chen[SUP] 2 [/SUP], Jinna Wang[SUP] 2 [/SUP], Zhiping Chen[SUP] 2 [/SUP], Kun Chen[SUP] 1 [/SUP]
Affiliations
- PMID: 39691651
- PMCID: PMC11650369
- DOI: 10.3389/fpubh.2024.1420993
Background: We aimed to evaluate the seroprevalence of SARS-CoV-2 and investigate the trajectories of protective immunity and associated risk factors in eastern China between March and November 2023 after the easing of COVID-19 restrictions.
Materials and methods: We conducted repeated population-based seroepidemiologic studies using a multistage, population-stratified, cluster random sampling method. We measured neutralizing antibodies (nAbs) using a fluorescence immunoassay. We calculated both overall and stratified seroprevalence. The latent class growth mixed model (LCGMM) was used to analyze the dynamic trajectories of antibodies, and a multinomial logistic regression model was used to identify factors associated with different antibody trajectory patterns.
Results: A total of 6,147 participants were included at baseline, with a median age of 53.61 years. Both observed and adjusted seroprevalence remained high and stable throughout the study period. The LCGMM identified four distinct antibody trajectories: 75.22% of participants had a high and stable antibody trajectory, while nearly 8% of them exhibited an increase, decline, or low-stable antibody trajectory. Younger participants, women, those fully vaccinated, and individuals with a history of previous infection were more likely to have high and stable antibody trajectories.
Conclusion: The majority of the population maintained sustained protective immunity after the outbreak, following the easing of COVID-19 restrictions across the country.
Keywords: COVID-19; China; SARS-CoV-2; risk factor; seroprevalence; trajectory.