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J Infect Dis . A Dynamic Model for Estimating the Retention Duration of Neutralizing Antibody Titers after Vaccination in a COVID-19 Convalescent P

tetano

Editor, Senior Moderator
J Infect Dis


. 2023 Oct 5:jiad431.
doi: 10.1093/infdis/jiad431. Online ahead of print. A Dynamic Model for Estimating the Retention Duration of Neutralizing Antibody Titers after Vaccination in a COVID-19 Convalescent Population

Fang-Chi Hsu[SUP] 1 2 [/SUP], Li-Chern Pan[SUP] 3 [/SUP], Yen-Fang Huang[SUP] 1 4 [/SUP], Chin-Hui Yang[SUP] 5 6 [/SUP], Ming-Neng Shiu[SUP] 1 7 8 [/SUP], Hsiu-Ju Lin[SUP] 9 10 [/SUP]



Affiliations
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 one-half year after vaccination. Protection, against variant B.1.1.529 (i.e., Omicron) may only occur during the peak period.

Keywords: Bayesian; COVID-19; Markov chain Monte Carlo; neutralizing antibody titer.

 
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