Evidence map›Paper›PMID 32978440›Full record

ArticleScientific reports2020

Solvable delay model for epidemic spreading: the case of Covid-19 in Italy.

Luca Dell'Anna

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Non-Markovian SIR epidemic spreading model of COVID-19.Chaos, solitons, and fractals · 2022
    Article
  6. Article
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  14. Logistic equation and COVID-19.Chaos, solitons, and fractals · 2020
    Article
  15. Article
  16. 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.

Luca Dell'AnnaDipartimento di Fisica e Astronomia "G. Galilei", Università degli Studi di Padova, via F. Marzolo 8, 35131, Padova, Italy. luca.dellanna@pd.infn.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study a simple realistic model for describing the diffusion of an infectious disease on a population of individuals. The dynamics is governed by a single functional delay differential equation, which, in the case of a large population, can be solved exactly, even in the presence of a time-dependent infection rate. This delay model has a higher degree of accuracy than that of the so-called SIR model, commonly used in epidemiology, which, instead, is formulated in terms of ordinary differential equations. We apply this model to describe the outbreak of the new infectious disease, Covid-19, in Italy, taking into account the containment measures implemented by the government in order to mitigate the spreading of the virus and the social costs for the population.

Indexed as

Models, TheoreticalAlgorithmsBetacoronavirusCoronavirus InfectionsCOVID-19HumansItalyPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32978440
PMCPMC7519166

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.