Analysis of 2019 Ohio Disease Intervention Specialist Records for Syphilis Cases Using Clustering Algorithms
Our analysis resulted in clusters that were well formed mathematically, but did not reveal novel epidemiological information about syphilis risk factors or transmission that were not already known.
Authors
- Payal Chakraborty (ORCID: https://orcid.org/0000-0003-4939-3637)
- Ning Xia (ORCID: https://orcid.org/0000-0003-0366-7524)
- William C. Miller (ORCID: https://orcid.org/0000-0002-1934-7827)
- David Kline (ORCID: https://orcid.org/0000-0001-6183-3303)
- Abigail Norris Turner (ORCID: https://orcid.org/0000-0003-2463-6399)
- Abigail B. Shoben (ORCID: https://orcid.org/0000-0001-9347-4755)
- Margot McNeill
Institutions
- University of North Carolina at Chapel Hill (US)
- Harvard University (US)
- Ohio Department of Health (US)
- Protein Express (United States) (US)
- Harvard Pilgrim Health Care (US)
- Wake Forest University (US)
- The Ohio State University (US)
Publication Details
- Journal
- Sexually Transmitted Diseases
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1097/olq.0000000000002091
- Primary Topic
- Syphilis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00