The sample size matters: evaluating minimum and reasonable values in prevalence studies

Volodimir Sarabeev

doi:10.1016/j.ijpara.2025.05.003

The sample size matters: evaluating minimum and reasonable values in prevalence studies

2025-05-30

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DOI：10.1016/j.ijpara.2025.05.003

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• Small samples (n < 15) often yield unacceptable prevalence precision. • A sample size of 15–45 allows rough estimates but with high uncertainty. • At least 450 elements are required to estimate prevalences of 1% or 99%. • For prevalences of 5–95%, the optimal sample size ranges from 110 to 135 elements. • Sample until at least 5 infected and 5 uninfected hosts are detected.

The sample size matters: evaluating minimum and reasonable values in prevalence studies

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