Evidence map›Paper›PMID 32834628›Full record

ArticleChaos, solitons, and fractals2020

Social distancing versus early detection and contacts tracing in epidemic management.

Giuseppe Gaeta

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Evaluating Effects of Dynamic Interventions to Control COVID-19 Pandemic: A Case Study of Guangdong, China.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Reflections throughout the COVID-19 Lockdown: What Do I Need for Successful Learning of Engineering?International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Article
  8. Size and timescale of epidemics in the SIR framework.Physica D. Nonlinear phenomena · 2020
    Article
  9. Article
  10. Article
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

1 author.

Giuseppe GaetaDipartimento di Matematica, Università degli Studi di Milano via Saldini 50, Milano 20133, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different countries - and sometimes different regions within the same countries - have adopted different strategies in trying to contain the ongoing COVID-19 epidemic; these mix in variable parts social confinement, early detection and contact tracing. In this paper we discuss the different effects of these ingredients on the epidemic dynamics; the discussion is conducted with the help of two simple models, i.e. the classical SIR model and the recently introduced variant A-SIR (arXiv:2003.08720) which takes into account the presence of a large set of asymptomatic infectives.

Indexed as

COVIDEpidemiological modelsNonlinear dynamics

Identifiers

PMID32834628
PMCPMC7365132

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.