ArticleFrontiers in public health2026
Training needs in data, informatics and technical skills in the US governmental public health workforce.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Preparing a technologically savvy public health workforce: an academic-industry partnership.Frontiers in public health · 2026Article
- Development of a master of science in digital health program at Muhimbili University of Health and Allied Sciences, Tanzania: a mixed-methods curriculum development study.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: A workforce with data and technology skills is vital to support digital transformation in public health (PH). Using US-based 2024 Public Health Workforce Interests and Needs Survey (PH WINS) national survey data, this study examined informatics/data skills gaps and training needs of governmental PH workers. Methods: 2024 PH WINS included data from 48 state health agencies-central office (SHA-CO), 34 large local health departments (LHD) from Big Cities Health Coalition (BCHC), and 1,144 other LHDs. Analysis focused on non-supervisory Tier 1 respondents, their education and position. PH workforce classifications ( Results: Of 56,595 respondents, 72% ( Discussion: Results highlight a widespread training need in incumbent PH workforce to address the data-related/technical skills gaps. Multi-pronged training approaches are critical to building a data and informatics-savvy PH workforce.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.