Exploring and Comparing the Structure of Sexual Networks Affected by Neisseria gonorrhoeae Using Sexual Partner Services Investigation and Genomic Data

Abstract

Background: Sexual networks are difficult to construct because of incomplete sexual partner data. The proximity of people within a network may be inferred from genetically similar infections. We explored genomic data combined with partner services investigation (PSI) data to extend our understanding of sexual networks affected by Neisseria gonorrhoeae (NG). Methods:We used 2017-2019 PSI and whole-genome sequencing (WGS) data from 8 jurisdictions participating in Centers for Disease Control and Prevention's Strengthening the US Response to Resistant Gonorrhea (SURRG) project. Clusters were identified from sexual contacts and through genetically similar NG isolates. Sexual mixing patterns were characterized by describing the clusters by the individual's gender and gender of their sex partners.

New Evidence for Antimicrobial-Resistant Gonorrhea Control Programs: Lessons Learned from the SURRG Project

“…One of the most innovative outcomes of SURRG incorporated both partner services data and whole-genome sequencing (WGS) data to explore sexual networks in each jurisdiction. 11 Using this molecular epidemiologic approach, Dr Town and colleagues were able to show both quantitatively and visually the dense connectivity of these sexual networks. Either approach alone linked approximately 70% of the individuals into approximately 500 to 600 clusters.…”