Evidence map›Paper›PMID 33242489›Full record

ArticleJournal of theoretical biology2021

A novel COVID-19 epidemiological model with explicit susceptible and asymptomatic isolation compartments reveals unexpected consequences of timing social distancing.

Jana L Gevertz, James M Greene, Cynthia H Sanchez-Tapia, Eduardo D Sontag

Open access · greenAbstract read
In one paragraph

Article in Journal of theoretical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 67 citations in OpenAlex.

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  5. Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model.IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society · 2022
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  13. Optimizing time-limited non-pharmaceutical interventions for COVID-19 outbreak control.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
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  15. Caprine Arthritis Encephalitis Virus Disease Modelling Review.Animals : an open access journal from MDPI · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Jana L GevertzDepartment of Mathematics and Statistics, The College of New Jersey, Ewing, NJ, United States.
James M GreeneDepartment of Mathematics, Clarkson University, Potsdam, NY, United States.
Cynthia H Sanchez-TapiaDepartment of Mathematics, College of Natural and Behavioral Sciences, California State University Dominguez Hills, Carson, CA, United States.
Eduardo D SontagDepartment of Electrical and Computer Engineering and Department of Bioengineering, Northeastern University, Boston, MA, United States; Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA, United States. Electronic address: sontag@sontaglab.org.
California State University, Dominguez Hills · USClarkson University · USCollege of New Jersey · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivated by the current COVID-19 epidemic, this work introduces an epidemiological model in which separate compartments are used for susceptible and asymptomatic "socially distant" populations. Distancing directives are represented by rates of flow into these compartments, as well as by a reduction in contacts that lessens disease transmission. The dynamical behavior of this system is analyzed, under various different rate control strategies, and the sensitivity of the basic reproduction number to various parameters is studied. One of the striking features of this model is the existence of a critical implementation delay (CID) in issuing distancing mandates: while a delay of about two weeks does not have an appreciable effect on the peak number of infections, issuing mandates even slightly after this critical time results in a far greater incidence of infection. Thus, there is a nontrivial but tight "window of opportunity" for commencing social distancing in order to meet the capacity of healthcare resources. However, if one wants to also delay the timing of peak infections - so as to take advantage of potential new therapies and vaccines - action must be taken much faster than the CID. Different relaxation strategies are also simulated, with surprising results. Periodic relaxation policies suggest a schedule which may significantly inhibit peak infective load, but that this schedule is very sensitive to parameter values and the schedule's frequency. Furthermore, we considered the impact of steadily reducing social distancing measures over time. We find that a too-sudden reopening of society may negate the progress achieved under initial distancing guidelines, but the negative effects can be mitigated if the relaxation strategy is carefully designed.

Indexed as

Models, BiologicalPandemicsPhysical DistancingSARS-CoV-2Asymptomatic InfectionsBasic Reproduction NumberCOVID-19Disease SusceptibilityHumansMathematical ConceptsSystems BiologyTime FactorsCOVID-19Epidemic modelingSocial distancing

Identifiers

PMID33242489
PMCPMC7840295
OpenAlexW3106966389

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.