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Related Experiment Video

Updated: Jun 9, 2026

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
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CoVimmune COVID-19 Immunity Calculator: Web Application Development and Validation Study.

Rebecca Slotkin1, Tassos C Kyriakides2,3, Vinni Yu4

  • 1Department of Medicine, Yale School of Medicine, 950 Campbell Ave, Bldg 1, Floor 5, West Haven, CT, 06516, United States, 1 2038005320.

JMIR Formative Research
|April 22, 2025
PubMed
Summary
This summary is machine-generated.

A new web tool estimates SARS-CoV-2 neutralizing antibody (nAb) titers from serum immunoglobulin G (IgG) levels in vaccinated adults. This calculator helps assess vaccine-induced protection against COVID-19.

Keywords:
COVID-19SARS-CoV-2immunityimmunoglobulin Gneutralizing antibodypatient-centered carevaccinationvaccine hesitancyvaccine timingweb application

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Area of Science:

  • Immunology
  • Infectious Diseases
  • Public Health

Background:

  • Investigating the correlation between serum anti-SARS-CoV-2 S1/receptor-binding domain immunoglobulin G (IgG) and neutralizing antibody (nAb) titers.
  • Analyzing nAb titers at various time points post-vaccination in a US adult population.

Purpose of the Study:

  • To develop an accessible web-based calculator for approximating SARS-CoV-2 neutralization ability using commercial anti-SARS-CoV-2 serum IgG results.
  • To provide a patient-centered tool for predicting nAb titers.

Main Methods:

  • Leveraged two published datasets: one showing IgG-nAb correlation, another tracking nAb titers post-vaccination.
  • Incorporated statistically significant clinical factors from linear regression models predicting nAb from IgG.
  • Developed a publicly available web application for user input of serum IgG values.

Main Results:

  • The application provides an estimated nAb titer based on user-provided serum IgG values.
  • Estimated nAb titers are contextualized with theoretical vaccine-mediated antibody protection levels.
  • Clinical variables significantly impacting IgG's prediction of nAb are utilized for patient-centered predictions.

Conclusions:

  • The developed application bridges scientific research on protective antibodies with clinical practice.
  • Offers a practical tool for assessing vaccine-induced immunity against SARS-CoV-2.
  • Demonstrates the potential of web-based applications in translating immunological research findings for clinical use.