Development of an Automated, Customized Data Report for Ongoing Aberration Detection in Syphilis Surveillance Data
- 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
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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
- crossref · retrieved 2026-09-26T18:25:18.295Z