Hospital wastewater-based surveillance as an early-warning system for toxigenic <i>Vibrio cholerae</i> : first detection, isolation, characterization, and traceback investigation in Beijing, China
was successfully isolated from the wastewater sample and identified as the O1 Ogawa serotype. Whole-genome sequencing and comparative genomic analysis revealed that the isolate was closely related to locally circulating strains but clearly distinct from the seventh pandemic lineage, suggesting its link to indigenous transmission chains. In addition, we immediately initiated a comprehensive and multi-source traceback investigation upon detection of this positive signal, integrating clinical, environmental, and epidemiological data. This case highlights the early-warning and situational-awareness value of wastewater surveillance in detecting emerging pathogens and emphasizes its indispensable role in infectious disease prevention and control systems, providing a scientific basis for timely public health decision-making.
Authors
- Daitao Zhang
- Bing Lv
- Baiwei Liu
- Mei Qu (ORCID: https://orcid.org/0000-0002-0179-5576)
- Shuxian Li
- Quanyi Wang
- Song Tang
- Ying Huang
- Weijia Zhang
- Dantong Hao
- Haijian Zhou
- Qun Gao
- Bo Pang
- Biao Kan
Institutions
- Capital University (US)
- Capital Medical University (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Taiwan Centers for Disease Control (TW)
- National Institute for Communicable Disease Control and Prevention (CN)
- Guangdong Provincial Center for Disease Control and Prevention (CN)
- Beijing Center for Disease Prevention and Control (CN)
Publication Details
- Journal
- Emerging Microbes & Infections
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1080/22221751.2026.2653278
- Primary Topic
- Vibrio bacteria research studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Center for Disease Control and Prevention
- Centers for Disease Control and Prevention
- Beijing Science and Technology Planning Project