Evidence map›Paper›PMID 41103558›Full record

ArticleAnnals of GIS2025

Enhancing physician scientists' skills in Geographic Information Systems: insights from an interactive workshop.

Muktar H Aliyu, Ibraheem M Karaye, Chelsea van Wyk, Aishatu L Adamu, Fatimah I Tsiga-Ahmed, Hafsah B El Yakubu, Rukayya S Alkassim, Baba M Musa, Mahmoud U Sani, C William Wester

Abstract read
In one paragraph

Article in Annals of GIS, 2025. 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

10 authors.

Muktar H AliyuVanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, USA.
Ibraheem M KarayeDepartment of Population Health, Hofstra University, Hempstead, USA.
Chelsea van WykVanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, USA.
Aishatu L AdamuDepartment of Community Medicine and Department of Medicine, Bayero University Kano & Aminu Kano Teaching Hospital, Kano, Nigeria.
Fatimah I Tsiga-AhmedDepartment of Community Medicine and Department of Medicine, Bayero University Kano & Aminu Kano Teaching Hospital, Kano, Nigeria.
Hafsah B El YakubuDepartment of Community Medicine and Department of Medicine, Bayero University Kano & Aminu Kano Teaching Hospital, Kano, Nigeria.
Rukayya S AlkassimVanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, USA.
Baba M MusaDepartment of Community Medicine and Department of Medicine, Bayero University Kano & Aminu Kano Teaching Hospital, Kano, Nigeria.
Mahmoud U SaniDepartment of Community Medicine and Department of Medicine, Bayero University Kano & Aminu Kano Teaching Hospital, Kano, Nigeria.
C William WesterVanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, USA.

Funding

Vanderbilt-Nigeria Building Research Capacity in HIV and Non-communicable Diseases (NCDs) (V-BRCH) 2D43TW011544 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Aishatu Adamu, Muktar Hassan Aliyu · 2020 to 2026
$2.1M
Vanderbilt-Nigeria Biostatistics Training Program (VN-BioStat)D43TW012268 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Muktar Hassan Aliyu, Nafiu Hussaini · 2022 to 2026
$1.5M
FIC NIH HHS D43 TW011544FIC NIH HHS D43 TW012268
6 · The paper itself

Abstract

Geographic Information Systems (GIS) have become essential in health sciences for analysing and visualizing health-related spatio-temporal data. This report details the outcomes of a week-long interactive GIS workshop held in Kano, Nigeria, and organized by the Vanderbilt-Nigeria Building Research Capacity in HIV and NCDs (V-BRCH) training programme. The workshop aimed to enhance GIS knowledge and confidence among early-career physician scientists. Thirty-three participants were trained in core GIS competencies, including software selection, data visualization and spatial analysis using Quantum GIS (QGIS). Pre- and post-workshop surveys assessed participants' knowledge and confidence levels across various GIS topics and competency areas. There was a significant improvement in self-reported participant knowledge across all GIS topic areas evaluated, with the highest percentage gains in geocoding health data (149%) and using QGIS software (135%). The percentage increase in post-workshop confidence was greatest for importing spatial data into QGIS (153%), navigating the QGIS interface (150%) and mapping public health data (150%). Participants rated the workshop highly (4.7/5, 1 = 'poor' and 5 = 'excellent'). Recommendations for course improvement included extending the duration of the workshop, using local data in exercises and employing more visual aids. These findings suggest that GIS training opportunities can be beneficial in building GIS knowledge and enhancing the skills of physician scientists in similar low- and middle-income settings.

Indexed as

capacity buildingGeographic Information Systemsglobal healthlow- and middle-income countriesphysician scientists

Identifiers

PMID41103558
PMCPMC12525724

What OpenQuestion holds

Textmetadata
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.