ArticleThe Journal of infectious diseases2020
Group Testing for Severe Acute Respiratory Syndrome- Coronavirus 2 to Enable Rapid Scale-up of Testing and Real-Time Surveillance of Incidence.
Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- Regression analysis of group-tested current status data.Biometrika · 2024Article
- A proactive/reactive mass screening approach with uncertain symptomatic cases.PLoS computational biology · 2024Article
- Estimating the prevalence of two or more diseases using outcomes from multiplex group testing.Biometrical journal. Biometrische Zeitschrift · 2023Article
- Leveraging network structure to improve pooled testing efficiency.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022Article
- Boosting SARS-CoV-2 detection combining pooling and multiplex strategies.Scientific reports · 2022Article
- Screening multi-dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID-19.Naval research logistics · 2022Article
- Network-Informed Constrained Divisive Pooled Testing Assignments.Frontiers in big data · 2022Article
- Nested pool testing strategy for the diagnosis of infectious diseases.Scientific reports · 2021Article
- Loop-Mediated Isothermal Amplification Detection of SARS-CoV-2 and Myriad Other Applications.Journal of biomolecular techniques : JBT · 2021Review
- Comparative evaluation of a dual-target real-time RT-PCR assay for COVID-19 diagnosis and assessment of performance in pooled saliva and nasopharyngeal swab samples.Expert review of molecular diagnostics · 2021Article
- Efficient and effective single-step screening of individual samples for SARS-CoV-2 RNA using multi-dimensional pooling and Bayesian inference.Journal of the Royal Society, Interface · 2021Article
- Article
- Modelling the utility of group testing for public health surveillance.Infectious Disease Modelling · 2021Article
- Performance of Nucleic Acid Amplification Tests for Detection of Severe Acute Respiratory Syndrome Coronavirus 2 in Prospectively Pooled Specimens.Emerging infectious diseases · 2021Article
- Considerations for Pooled Testing of Employees for SARS-CoV-2.Journal of occupational and environmental medicine · 2021Article
- Why Temperature Screening for Coronavirus Disease 2019 With Noncontact Infrared Thermometers Does Not Work.Open forum infectious diseases · 2021Article
- Article
- Article
- Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types.PloS one · 2021Article
- Modelling pool testing for SARS-CoV-2: addressing heterogeneity in populations.Epidemiology and infection · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
High-throughput molecular testing for severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) may be enabled by group testing in which pools of specimens are screened, and individual specimens tested only after a pool tests positive. Several laboratories have recently published examples of pooling strategies applied to SARS-CoV-2 specimens, but overall guidance on efficient pooling strategies is lacking. Therefore we developed a model of the efficiency and accuracy of specimen pooling algorithms based on available data on SAR-CoV-2 viral dynamics. For a fixed number of tests, we estimate that programs using group testing could screen 2-20 times as many specimens compared with individual testing, increase the total number of true positive infections identified, and improve the positive predictive value of results. We compare outcomes that may be expected in different testing situations and provide general recommendations for group testing implementation. A free, publicly-available Web calculator is provided to help inform laboratory decisions on SARS-CoV-2 pooling algorithms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.