Sample pooling approaches simulated under resource scarcity, lapses in testing capacity, and rapid processing demands for surveillance testing: a data-driven performance comparison

Authors

Alessandro Ceci (ORCID: https://orcid.org/0000-0002-9212-5294)
Carla V. Finkielstein (ORCID: https://orcid.org/0000-0002-8417-4643)
Kevin K. Lahmers (ORCID: https://orcid.org/0000-0002-5290-3426)
C.A. Burgess (ORCID: https://orcid.org/0009-0003-7411-7762)
Alan Curran

Institutions

Virginia–Maryland College of Veterinary Medicine (US)
Biomedical Research Institute (US)
Oldham Council (GB)
Virginia Tech (US)

Publication Details

Journal: BMC Infectious Diseases
Published: 2026-01-30
DOI: https://doi.org/10.1186/s12879-025-12480-3
Primary Topic: SARS-CoV-2 detection and testing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Sample pooling approaches simulated under resource scarcity, lapses in testing capacity, and rapid processing demands for surveillance testing: a data-driven performance comparison

Alessandro Ceci, Carla V. Finkielstein, Kevin K. Lahmers, C.A. Burgess et al.

Jan 30, 2026

BMC Infectious Diseases

SARS-CoV-2 detection and testing

article

Sample pooling approaches simulated under resource scarcity, lapses in testing capacity, and rapid processing demands for surveillance testing: a data-driven performance comparison

Alessandro Ceci, Carla V. Finkielstein, Kevin K. Lahmers, C.A. Burgess, Alan Curran

January 30, 2026article en

Abstract

No abstract available for this paper.

BMC Infectious DiseasesVol. 26(1)

Virginia–Maryland College of Veterinary Medicine (US), Biomedical Research Institute (US), Oldham Council (GB), Virginia Tech (US)

Openalex Percentile: Top 70%

SARS-CoV-2 detection and testing

DOI Open Access PDF OpenAlex

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