Evidence map›Paper›PMID 39309373›Full record

ArticleF1000Research2022

A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV.

Catalina González-Uribe, Nicolás Yañez, Alf Onshuus Niño, Nubia Velasco, Juan Manuel Cordovez, Mauricio Santos-Vega, Natalia Niño-Machado, Andres Burbano, Angus Forbes, Ciro Alberto Amaya Guio and 3 more

Abstract read
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In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Catalina González-UribeSchool of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.ORCID https://orcid.org/0000-0002-3322-5017
Nicolás YañezSchool of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.ORCID https://orcid.org/0000-0003-3251-050X
Alf Onshuus NiñoDepartment of Mathematics, Universidad de Los Andes, Bogotá, 111711, Colombia.
Nubia VelascoManagement School, Universidad de los Andes, Bogotá, 111711, Colombia.
Juan Manuel CordovezDepartment of Biomedical Engineering, Computational & Mathematical Biology, Universidad de los Andes, Bogotá, 111711, Colombia.
Mauricio Santos-VegaDepartment of Biomedical Engineering, Computational & Mathematical Biology, Universidad de los Andes, Bogotá, 111711, Colombia.
Natalia Niño-MachadoSchool of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.
Andres BurbanoDepartment of Architecture and Design, Universidad de los Andes, Bogotá, 111711, Colombia.
Angus ForbesDepartment of Computational Media, University of California, Santa Cruz, Santa Cruz, California, USA.
Ciro Alberto Amaya GuioIndustrial Engineering Department, Universidad de los Andes, Bogotá, 111711, Colombia.
Simon TurnerManagement School, Universidad de los Andes, Bogotá, 111711, Colombia.
Diana Higuera-MendietaSchool of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.
Sandra Martínez-CabezasSchool of Medicine, Universidad de los Andes, Bogotá, 111711, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceCOVID-19data sciencedecision-making

Identifiers

PMID39309373
PMCPMC11413556

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.