Open-Source Software for Public Health: Opportunities and Approaches.

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

4 citing papers in PubMed.

1. What do Providers and Community Members Think About Disease Intervention Specialists?: Provider and Community Member Assessments in New York City.Sexually transmitted diseases · 2026
   Article
2. Advocating the potential of artificial intelligence for syndrome discovery in syndromic surveillance systems: A scoping review.iScience · 2026
   Review
3. Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.BMC veterinary research · 2025
   Article
4. Creating a Sexually Transmitted Infection Disease Intervention Workforce for the 21st Century.Sexually transmitted diseases · 2023
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as