Dataset Information
Sample pooling approaches simulated under resource scarcity, lapses in testing capacity, and rapid processing demands for surveillance testing: a data-driven performance comparison.
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ABSTRACT:
SUBMITTER: Burgess C
PROVIDER: S-EPMC12930655 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature
Publications
Sample pooling approaches simulated under resource scarcity, lapses in testing capacity, and rapid processing demands for surveillance testing: a data-driven performance comparison.
BMC infectious diseases 20260130 1
BACKGROUND: Sample pooling is a critical strategy to meet increased testing demand and conserve resources in surveillance testing. Much of its effectiveness depends on how well optimized the pool size is to the prevalence of infection in the sampled population, which can be difficult to anticipate in many circumstances. Multiple methods exist to better optimize pooling, with unique trade-offs. METHODS: Pooling optimization methods were simulated to examine trade-offs between surveillance priorit ...[more]