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Related Experiment Video

Updated: Mar 5, 2026

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model

Published on: November 28, 2017

Using simulation to aid trial design: Ring-vaccination trials.

Matt David Thomas Hitchings¹, Rebecca Freeman Grais², Marc Lipsitch¹

¹Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.

Plos Neglected Tropical Diseases

|March 23, 2017

Summary

This summary is machine-generated.

This study developed a simulation model for Ebola ring vaccination trials, increasing sample size estimates by 25% to account for dynamic effects. Robust trial design requires considering vaccine properties and epidemiologic factors.

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Related Experiment Videos

Last Updated: Mar 5, 2026

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Published on: November 1, 2011

Area of Science:

Epidemiology
Biostatistics
Infectious Disease Modeling

Background:

The 2014-2016 West African Ebola epidemic underscored the need for rapid, rigorous vaccine clinical trial methodologies.
Designing vaccine trials is challenging due to uncertainties in incidence, vaccine effect, and intracluster correlation, especially with indirect vaccination effects.

Purpose of the Study:

To present a stochastic, compartmental model for a ring vaccination trial to improve sample size calculations.
To assess the impact of dynamic effects and individual-level parameters on trial power and estimated vaccine effect.

Main Methods:

A stochastic, compartmental model was developed for a ring vaccination trial design.
The model simulates a ring of contacts around an index case, with immediate or delayed vaccination arms.
Simulation results were used to calculate sample size and estimate vaccine effect, incorporating dynamic considerations.

Main Results:

A standard sample-size calculation neglecting dynamic effects estimated 7,100 participants needed for 80% power.
Incorporating dynamic considerations increased the estimated sample size to 8,900 participants.
Trial power and estimated vaccine effect were found to be sensitive to vaccine properties, setting-specific parameters, and study design parameters.

Conclusions:

Simulation enhances the robustness of sample size calculations in clinical trial design.
Vaccine effectiveness in this ring vaccination design is contingent upon the design's properties, the measurement window, and the epidemiologic context.