Evidence map›Paper›PMID 33301769›Full record

ArticleJournal of theoretical biology2021

How best can finite-time social distancing reduce epidemic final size?

Pierre-Alexandre Bliman, Michel Duprez

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Confinement tonicity on epidemic spreading.Journal of mathematical biology · 2024
    Article
  2. Article
  3. Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2022
    Article
  4. Article
  5. Article
  6. Optimization in the Context of COVID-19 Prediction and Control: A Literature Review.IEEE access : practical innovations, open solutions · 2021
    Article
  7. Article
  8. Article
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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

2 authors.

Pierre-Alexandre BlimanInria, Sorbonne Université, Université Paris-Diderot SPC, CNRS Laboratoire Jacques-Louis Lions, équipe MAMBA, Paris, France. Electronic address: pierre-alexandre.bliman@inria.fr.
Michel DuprezInria, Université de Strasbourg, ICUBE, équipe MIMESIS, Strasbourg, France. Electronic address: michel.duprez@inria.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given maximal social distancing duration and intensity, how can one minimize the epidemic final size, or equivalently the total number of individuals infected during the outbreak? A complete answer to this question is provided and demonstrated here for the SIR epidemic model. In this simplified setting, the optimal solution consists in enforcing the highest confinement level during the longest allowed period, beginning at a time instant that is the unique solution to certain 1D optimization problem. Based on this result, we present numerical essays showing the best possible performance for a large set of basic reproduction numbers and lockdown durations and intensities.

Indexed as

EpidemicsPhysical DistancingBasic Reproduction NumberDisease OutbreaksHumansAttack ratioHerd immunityNon-pharmaceutical interventionsOptimal controlSIR model

Identifiers

PMID33301769
PMCPMC7833531

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.