Evidence map›Paper›PMID 39730359›Full record

ArticleScientific reports2024

Identifying the main drivers of transmission in the early phase of the COVID-19 pandemic in Portugal.

Constantino Caetano, Leonardo Angeli, Irma Varela-Lasheras, Pietro Coletti, Luisa Morgado, Pedro Lima, Lander Willem, Baltazar Nunes, Niel Hens

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

9 authors.

Constantino CaetanoDepartamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, 1600-609, Lisbon, Portugal. constantino.caetano@insa.min-saude.pt.
Leonardo AngeliInteruniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium.
Irma Varela-LasherasDepartamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, 1600-609, Lisbon, Portugal.
Pietro ColettiInteruniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium.
Luisa MorgadoCenter for Computational and Stochastic Mathematics, Instituto Superior Técnico, 1049-001, Lisbon, Portugal.
Pedro LimaCenter for Computational and Stochastic Mathematics, Instituto Superior Técnico, 1049-001, Lisbon, Portugal.
Lander WillemCentre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Baltazar NunesDepartamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, 1600-609, Lisbon, Portugal.
Niel HensInteruniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we employed a modeling approach to describe how changes in age-specific epidemiological characteristics, such as behaviour, i.e. contact patterns, susceptibility and infectivity, influence the basic reproduction number

Indexed as

Basic Reproduction NumberCOVID-19SARS-CoV-2AdolescentAdultAgedAge FactorsChildChild, PreschoolDisease SusceptibilityFemaleHumansIncidenceInfantMaleMiddle Aged

Identifiers

PMID39730359
PMCPMC11680834

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.