Using Wastewater-Based Epidemiology to Detect and Monitor Sexually Transmitted Infections: Chlamydia and Gonorrhea

Wastewater-based epidemiology (WBE) enables population-level health monitoring, offering a high-throughput and cost-effective complement to traditional surveillance methods. Recent modeling has identified STIs as promising targets for wastewater surveillance. However, significant gaps remain in understanding scalability across different population sizes, integrating targeted and nontargeted approaches, and developing data actionability. This study addresses these gaps through comprehensive STI surveillance at two distinct scales: a centralized water reclamation facility (WRF) serving 4.8 million people and residential buildings housing 7500 residents. Wastewater samples were analyzed using droplet digital PCR (ddPCR) for targeted detection of Neisseria gonorrheae and Chlamydia trachomatis and shotgun metagenomic sequencing of WRF samples for comprehensive pathogen characterization. We demonstrate a bacterial activity level system, adapted from CDC viral surveillance protocols, that provide clear, actionable categories for public health response. Metagenomic analysis identified seven different STI-causing pathogens (Hepacivirus hominis, Human alphaherpesvirus 1 and 2, Haemophilus ducreyi, Neisseria meningitidis, Treponema pallidum, and Neisseria gonorrheae). This work contributes to the growing evidence supporting STI wastewater surveillance as a valuable complement to clinical surveillance. The combined targeted and metagenomic approaches demonstrate potential applications for monitoring community-level STI patterns and informing public health response strategies.

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2025-12-18
DOI
https://doi.org/10.1021/acsestwater.5c01071
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Wastewater-Based Epidemiology to Detect and Monitor Sexually Transmitted Infections: Chlamydia and Gonorrhea

ACS ES&T Water
Fecal contamination and water quality
article

Using Wastewater-Based Epidemiology to Detect and Monitor Sexually Transmitted Infections: Chlamydia and Gonorrhea

article en

Abstract

Wastewater-based epidemiology (WBE) enables population-level health monitoring, offering a high-throughput and cost-effective complement to traditional surveillance methods. Recent modeling has identified STIs as promising targets for wastewater surveillance. However, significant gaps remain in understanding scalability across different population sizes, integrating targeted and nontargeted approaches, and developing data actionability. This study addresses these gaps through comprehensive STI surveillance at two distinct scales: a centralized water reclamation facility (WRF) serving 4.8 million people and residential buildings housing 7500 residents. Wastewater samples were analyzed using droplet digital PCR (ddPCR) for targeted detection of Neisseria gonorrheae and Chlamydia trachomatis and shotgun metagenomic sequencing of WRF samples for comprehensive pathogen characterization. We demonstrate a bacterial activity level system, adapted from CDC viral surveillance protocols, that provide clear, actionable categories for public health response. Metagenomic analysis identified seven different STI-causing pathogens (Hepacivirus hominis, Human alphaherpesvirus 1 and 2, Haemophilus ducreyi, Neisseria meningitidis, Treponema pallidum, and Neisseria gonorrheae). This work contributes to the growing evidence supporting STI wastewater surveillance as a valuable complement to clinical surveillance. The combined targeted and metagenomic approaches demonstrate potential applications for monitoring community-level STI patterns and informing public health response strategies.

ACS ES&T WaterVol. 6(1)
University of Southern California (US)
Clean water and sanitation
Openalex Percentile: Top 38%
Fecal contamination and water quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.