Evidence map›Paper›PMID 37414034›Full record

ArticleYearbook of medical informatics2023

One Health in a Digital World: Technology, Data, Information and Knowledge.

Philip Scott, Taiwo Adedeji, Haythem Nakkas, Elisavet Andrikopoulou

Open access · hybridAbstract read
In one paragraph

Article in Yearbook of medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  10. Informatics for One Health.Yearbook of medical informatics · 2023
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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

4 authors at 2 institutions in 1 country.

Philip ScottInstitute of Management & Health, University of Wales Trinity Saint David, Swansea, Wales, UK.
Taiwo AdedejiSchool of Computing, University of Portsmouth, Portsmouth, UK.
Haythem NakkasSchool of Computing, University of Portsmouth, Portsmouth, UK.
Elisavet AndrikopoulouSchool of Computing, University of Portsmouth, Portsmouth, UK.
University of Portsmouth · GBUniversity of Wales Trinity Saint David · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the origins and growth of the One Health concept and its recent application in One Digital Health.

methodsBibliometric review and critical discussion of emergent themes derived from co-occurrence of MeSH keywords.

resultsThe fundamental interrelationship between human health, animal health and the wider environment has been recognized since ancient times. One Health as a distinct term originated in 2004 and has been a rapidly growing concept of interest in the biomedical literature since 2017. One Digital Health has quickly established itself as a unifying construct that highlights the critical role of technology, data, information and knowledge to facilitate the interdisciplinary collaboration that One Health requires. The principal application domains of One Digital Health to date are in FAIR data integration and analysis, disease surveillance, antimicrobial stewardship and environmental monitoring.

conclusionsOne Health and One Digital Health offer powerful lenses to examine and address crises in our living world. We propose thinking in terms of Learning One Health Systems that can dynamically capture, integrate, analyse and monitor application of data across the biosphere.

Indexed as

One HealthAnimalsHumansTechnology

Identifiers

PMID37414034
PMCPMC10751116
OpenAlexW4383314708

What OpenQuestion 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 OpenQuestion graph.