Evidence map›Paper›PMID 33293326›Full record

ArticleBMJ open2020

Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study.

Aníbal A Teherán, Gabriel Camero Ramos, Ronald Prado de la Guardia, Carolina Hernández, Giovanny Herrera, Luis M Pombo, Albert Alejandro Avila, Carolina Flórez, Esther C Barros, Luis Perez-Garcia and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 31% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Aníbal A TeheránGrupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia.ORCID http://orcid.org/0000-0002-7666-8766
Gabriel Camero RamosCruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
Ronald Prado de la GuardiaCruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
Carolina HernándezGrupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Giovanny HerreraGrupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Luis M PomboGrupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia.
Albert Alejandro AvilaCruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
Carolina FlórezInstituto Nacional de Salud, Bogotá, Colombia.
Esther C BarrosInstituto Nacional de Salud, Bogotá, Colombia.
Luis Perez-GarciaGrupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
Alberto Paniz-MondolfiIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Juan David RamírezGrupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia juand.ramirez@urosario.edu.co.ORCID http://orcid.org/0000-0002-1344-9312
Universidad del Rosario · COFundación Universitaria Juan N. Corpas · COInstituto Nacional de Salud · COIcahn School of Medicine at Mount Sinai · USUniversidad Simón Bolívar · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAsymptomatic carriers (AC) of the new SARS-CoV-2 represent an important source of spread for COVID-19. Early diagnosis of these cases is a powerful tool to control the pandemic. Our objective was to characterise patients with AC status and identify associated sociodemographic factors.

methodsUsing a cross-sectional design and the national database of daily occurrence of COVID-19, we characterised both socially and demographically all ACs. Additional correspondence analysis and logistic regression model were performed to identify characteristics associated with AC state (OR, 95% CI).

results76.162 ACs (12.1%; 95% CI 12.0% to 12.2%) were identified, mainly before epidemiological week 35. Age≤26 years (1.18; 1.09 to 1.28), male sex (1.51; 1.40 to 1.62), cases imported from Venezuela, Argentina, Brazil, Germany, Puerto Rico, Spain, USA or Mexico (12.6; 3.03 to 52.5) and autochthonous cases (22.6; 5.62 to 91.4) increased the risk of identifying ACs. We also identified groups of departments with moderate (1.23; 1.13 to 1.34) and strong (19.8; 18.6 to 21.0) association with ACs.

conclusionSociodemographic characteristics strongly associated with AC were identified, which may explain its epidemiological relevance and usefulness to optimise mass screening strategies and prevent person-to-person transmission.

Indexed as

AdultCarrier StateColombiaCOVID-19Cross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2epidemiologyinfectious diseasesvirology

Identifiers

PMID33293326
PMCPMC7722836
OpenAlexW3111820229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.