Evidence map›Paper›PMID 34737533›Full record

ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2021

Multi-population analysis of the Cuban SARS-CoV-2 epidemic transmission before and during the vaccination process.

D Guinovart-Sanjuán, R Guinovart-Díaz, K Vajravelu, W Morales-Lezca, I Abelló-Ugalde

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics of fluids (Woodbury, N.Y. : 1994), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

D Guinovart-SanjuánDepartment of Mathematics, University of Central Florida, 4393 Andromeda Loop N, Orlando, Florida 32816, USA.ORCID https://orcid.org/0000-0003-2941-0487
R Guinovart-DíazDepartamento de Matematicas, Universidad de La Habana, San Lazaro y L 10400, La Habana, Cuba.ORCID https://orcid.org/0000-0001-7702-6063
K VajraveluDepartment of Mathematics, University of Central Florida, 4393 Andromeda Loop N, Orlando, Florida 32816, USA.ORCID https://orcid.org/0000-0003-0213-5630
W Morales-LezcaDepartamento de Matematicas, Universidad de La Habana, San Lazaro y L 10400, La Habana, Cuba.ORCID https://orcid.org/0000-0003-1189-6773
I Abelló-UgaldeUniversidad de La Habana, Centro de Estudios para el Perfeccionamiento de la Educación Superior (CEPES). La Habana, Cuba.ORCID https://orcid.org/0000-0001-6015-4261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, several mathematical models for the spread of viruses and diseases are presented. In particular, the work focuses on the coronavirus disease 2019 (COVID-19) pandemic. A multi-population model is presented for the study of the interaction of various populations and the contagion of the virus between them. A second model on vaccination is presented, which allows analyzing the behavior of the disease taking into account the effectiveness of the vaccine and the speed of COVID-19 after the vaccination process. Finally, both models are applied to analyze the epidemic in Cuba. For this study, the official data reported by the Cuban Ministry of Health from March 2020 to August 2021 is used.

Identifiers

PMID34737533
PMCPMC8561656

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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.