Development of an Automated, Customized Data Report for Ongoing Aberration Detection in Syphilis Surveillance Data

John S. Angles, Elizabeth A. Torrone, Tracy Pondo, Melissa A. Pagaoa, Erika G. Martin

Open source

DOI
10.1097/phh.0000000000002396
Published
2026-06-29
Container
Journal of Public Health Management & Practice
Publisher
Ovid Technologies (Wolters Kluwer Health)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/phh.0000000000002396,
  title = {Development of an Automated, Customized Data Report for Ongoing Aberration Detection in Syphilis Surveillance Data},
  author = {John S. Angles and Elizabeth A. Torrone and Tracy Pondo and Melissa A. Pagaoa and Erika G. Martin},
  year = {2026},
  journal = {Journal of Public Health Management \& Practice},
  doi = {10.1097/phh.0000000000002396},
  url = {https://doi.org/10.1097/phh.0000000000002396}
}

RIS

TY  - JOUR
TI  - Development of an Automated, Customized Data Report for Ongoing Aberration Detection in Syphilis Surveillance Data
AU  - John S. Angles
AU  - Elizabeth A. Torrone
AU  - Tracy Pondo
AU  - Melissa A. Pagaoa
AU  - Erika G. Martin
PY  - 2026
JO  - Journal of Public Health Management & Practice
DO  - 10.1097/phh.0000000000002396
UR  - https://doi.org/10.1097/phh.0000000000002396
ER  - 

APA

Angles, J. S., Torrone, E. A., Pondo, T., Pagaoa, M. A., & Martin, E. G. (2026). Development of an Automated, Customized Data Report for Ongoing Aberration Detection in Syphilis Surveillance Data. Journal of Public Health Management & Practice. https://doi.org/10.1097/phh.0000000000002396

Source records