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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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On Measuring Vaccine Effectiveness with Observational Study Designs.

Farrokh Habibzadeh1, Parham Habibzadeh2, Mahboobeh Yadollahie3

  • 1Global Virus Network, Middle East Region, Shiraz, Iran. Farrokh.Habibzadeh@gmail.com.

Acta Medica Academica
|November 1, 2022
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Summary

This study reviews common observational designs for measuring vaccine effectiveness. High diagnostic test specificity is crucial for accurate vaccine effectiveness estimates, regardless of the study design used.

Keywords:
Case-Control StudiesCohort StudiesResearch DesignSARS-CoV-2Vaccines

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Area of Science:

  • Epidemiology
  • Vaccinology

Background:

  • Vaccine effectiveness measurement is critical, especially for new vaccines.
  • Observational study designs are commonly employed for this purpose.

Purpose of the Study:

  • To provide an overview of common observational study designs for vaccine effectiveness measurement.
  • To illustrate these designs using Monte Carlo simulations.

Main Methods:

  • Description of cohort studies, traditional case-control studies, and test-negative case-control studies.
  • Utilized Monte Carlo simulations to model real-world conditions for each design.

Main Results:

  • Cohort studies are prospective and suitable for attack rate determination.
  • Case-control studies are retrospective and provide odds ratios, useful when attack rates are low.
  • Test-negative case-control studies are cost-effective and faster alternatives.

Conclusions:

  • Diagnostic test specificity is paramount for valid vaccine effectiveness estimates.
  • The choice of study design impacts feasibility but not the fundamental requirement for specificity.