ArticlePLoS computational biology2020
A model-based evaluation of the efficacy of COVID-19 social distancing, testing and hospital triage policies.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Pooled it
- Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning.PLoS computational biology · 2025Article
- Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus.Bulletin of mathematical biology · 2023Article
- Efficacy of COVID-19 Public Health Measures in Philadelphia, New York City, Baltimore, and Chicago.Risk management and healthcare policy · 2023Article
- Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic.PLoS computational biology · 2022Article
- A quantitative assessment of epidemiological parameters required to investigate COVID-19 burden.Epidemics · 2021Article
- Effect of physical distancing on Covid-19 incidence in Brazil: does the strictness of mandatory rules matter?Health policy and planning · 2021Article
- Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing.PLoS computational biology · 2021Article
- Genomic surveillance of SARS-CoV-2 tracks early interstate transmission of P.1 lineage and diversification within P.2 clade in Brazil.PLoS neglected tropical diseases · 2021Article
- On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model.Journal of process control · 2021Article
- SARS-CoV-2 rapid antigen detection tests.The Lancet. Infectious diseases · 2021Article
- Role of efficient testing and contact tracing in mitigating the COVID-19 pandemic: a network modelling study.BMJ open · 2021Article
- Built Environment, Transport, and COVID-19: a Review.Current environmental health reports · 2021Review
- Learning from the Italian experience during COVID-19 pandemic waves: be prepared and mind some crucial aspects.Acta bio-medica : Atenei Parmensis · 2021Review
- COVID-19: Current knowledge in clinical features, immunological responses, and vaccine development.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Review
- Effect of homophily and correlation of beliefs on COVID-19 and general infectious disease outbreaks.PloS one · 2021Article
- Recent Insight into SARS-CoV2 Immunopathology and Rationale for Potential Treatment and Preventive Strategies in COVID-19.Vaccines · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A stochastic compartmental network model of SARS-CoV-2 spread explores the simultaneous effects of policy choices in three domains: social distancing, hospital triaging, and testing. Considering policy domains together provides insight into how different policy decisions interact. The model incorporates important characteristics of COVID-19, the disease caused by SARS-CoV-2, such as heterogeneous risk factors and asymptomatic transmission, and enables a reliable qualitative comparison of policy choices despite the current uncertainty in key virus and disease parameters. Results suggest possible refinements to current policies, including emphasizing the need to reduce random encounters more than personal contacts, and testing low-risk symptomatic individuals before high-risk symptomatic individuals. The strength of social distancing of symptomatic individuals affects the degree to which asymptomatic cases drive the epidemic as well as the level of population-wide contact reduction needed to keep hospitals below capacity. The relative importance of testing and triaging also depends on the overall level of social distancing.
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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.