Evidence map›Paper›PMID 37963148›Full record

ArticlePloS one2023

A deterministic compartmental model for the transition between variants in the spread of Covid-19 in Italy.

Mario Saviano, Annalisa Fierro, Antonella Liccardo

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Mario SavianoPhysics Department, Università degli Studi di Napoli 'Federico II', Napoli, Italy.
Annalisa FierroConsiglio Nazionale delle Ricerche (CNR), Institute Superconductors, Oxides and other Innovative Materials and Devices (SPIN), Napoli, Italy.ORCID 0000-0001-8431-942X
Antonella LiccardoPhysics Department, Università degli Studi di Napoli 'Federico II', Napoli, Italy.ORCID 0000-0002-7534-0574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a deterministic epidemic model to describe the transition between two variants of the same virus, through the combination of a series of realistic mechanisms such as partial cross immunity, waning immunity for vaccinated individuals and a novel data-based algorithm to describe the average immunological status of the population. The model is validated on the evolution of Covid-19 in Italy, during the period in which the transition between Delta and Omicron variant occurred, with very satisfactory agreement with the experimental data. According to our model, if the vaccine efficacy had been equal against Delta and Omicron variant infections, the transition would have been smoothed and the epidemic would have gone extinct. This circumstance confirms the fundamental role of vaccines in combating the epidemic, and the importance of identifying vaccines capable of intercepting new variants.

Indexed as

COVID-19VaccinesEpidemiological ModelsHumansItalySARS-CoV-2Vaccines

Identifiers

PMID37963148
PMCPMC10645303

What OpenQuestion holds

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LicenceCC BY
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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.