A Dynamic Model for Estimating the Retention Duration of Neutralizing Antibody Titers After Vaccination in a COVID-19 Convalescent Population

Fang Chi Hsu, Li Chern Pan, Yen Fang Huang, Chin Hui Yang, Ming Neng Shiu, Hsiu Ju Lin

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We measured neutralizing antibodies (nAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a cohort of 235 convalescent patients (representing 384 analytic samples). They were followed for up to 588 days after the first report of onset in Taiwan. A proposed Bayesian approach was used to estimate nAb dynamics in patients postvaccination. This model revealed that the titer reached its peak (1819.70 IU/mL) by 161 days postvaccination and decreased to 154.18 IU/mL by day 360. Thus, the nAb titers declined in 6 months after vaccination. Protection, against variant B.1.1.529 (ie, Omicron) may only occur during the peak period.

Original languageEnglish
Pages (from-to)398-402
Number of pages5
JournalJournal of Infectious Diseases
Volume229
Issue number2
DOIs
Publication statusPublished - Feb 15 2024

Keywords

  • Bayesian
  • COVID-19
  • Markov chain Monte Carlo
  • neutralizing antibody titer

ASJC Scopus subject areas

  • General Medicine

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