Evidence map›Paper›PMID 40199313›Full record

ReviewYearbook of medical informatics2024

Exploring the Latest Advances in Public Health and Epidemiology Informatics.

Gayo Diallo, Georgeta Bordea, Cécilia Samieri

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 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. Digital Health for Precision Prevention.Yearbook of medical informatics · 2024
    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.

Gayo DialloTeam AHeaD - Inserm Bordeaux Population Health Research Center, Univ. Bordeaux, 146 rue Léo Saignat, F-33000 Bordeaux, France.
Georgeta BordeaUniv. La Rochelle, L3i, EA 2118, F-17000, La Rochelle, France.
Cécilia SamieriTeam AHeaD - Inserm Bordeaux Population Health Research Center, Univ. Bordeaux, 146 rue Léo Saignat, F-33000 Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this review was to identify and analyze the most recent research and prevailing trends in the field of Public Health and Epidemiology Informatics (PHEI).

methodsWe adopted a methodical search approach that was similar to the one used in the previous edition of the PHEI section's synopsis. We conducted a thorough search on PubMed using an extensive range of keywords that cover topics related to public health, epidemiological surveillance, and medical informatics. As a result, there were 840 publications found on PHEI. The three section editors carefully examined the references. Afterwards, nine articles were selected as potential contenders for the "best paper" awards. The candidates underwent a thorough peer-review process that included six external reviewers, as well as the section editors and the two chief editors of the IMIA Yearbook of Medical Informatics. Every paper was subjected to a total of five reviews.

resultsThe search yielded 840 references, and after review of the nine "best paper" candidates, only two papers emerged as strong contenders for the "best paper" award. The first candidate paper, which received a broader consensus, explored the integration of clinical language models in medicine. This model envisioned working alongside physicians, providing real-time guidance at the point of care. The second candidate fo-cused on developing personalized digital interventions to effectively increase short-term physical activity.

conclusionThe recent PHEI section review has identified a significant rise in the quantity of pertinent stud-ies in comparison to the previous edition. The search strategy for this year incorporated precision medicine-related keywords for the first time, which may have led to an increased number of retrieved publications specifically related to PHEI.

Indexed as

EpidemiologyMedical InformaticsPublic HealthPublic Health InformaticsHumans

Identifiers

PMID40199313
PMCPMC12020530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.