ArticlePLoS computational biology2021
Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Enhanced testing can substantially improve defense against several types of respiratory virus pandemic.Epidemics · 2025Article
- Adaptive vaccination and surveillance testing strategies for infectious diseases with diverse strain dynamics.Health systems (Basingstoke, England) · 2025Article
- A proactive/reactive mass screening approach with uncertain symptomatic cases.PLoS computational biology · 2024Article
- Semi-quantitative group testing for efficient and accurate qPCR screening of pathogens with a wide range of loads.BMC bioinformatics · 2024Article
- High prevalence group testing in epidemiology with geometrically inspired algorithms.Scientific reports · 2023Article
- Optimal COVID-19 testing strategy on limited resources.PloS one · 2023Article
- Progress and Challenges of Point-of-Need Photonic Biosensors for the Diagnosis of COVID-19 Infections and Immunity.Biosensors · 2022Review
- Evaluation of long-term stability of SARS-CoV-2 nucleic acid extracted from human nasopharyngeal samples.Journal of virological methods · 2022Article
- Evaluation of conventional and point-of-care real-time RT-PCR tests for the detection of SARS-CoV-2 through a pooled testing strategy.Journal of clinical laboratory analysis · 2022Article
- Optimal multi-stage group partition for efficient coronavirus screening.Annals of operations research · 2022Article
- Optimizing and evaluating PCR-based pooled screening during COVID-19 pandemics.Scientific reports · 2021Article
- The stochastic dynamics of early epidemics: probability of establishment, initial growth rate, and infection cluster size at first detection.Journal of the Royal Society, Interface · 2021Review
- Efficiency of pooled surveillance testing in academic labs to detect and inhibit COVID-19 outbreaks.Bioanalysis · 2021Article
- Sample-Pooling Strategy for SARS-CoV-2 Detection among Students and Staff of the University of Sannio.Diagnostics (Basel, Switzerland) · 2021Article
- Optimally pooled viral testing.Epidemics · 2020Article
- COVID-19: a review of current knowledge regarding exposure, quarantine, isolation and other preventive measures.Therapeutic advances in infectious diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method.
Indexed as
Identifiers
What OpenQuestion holds
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.