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CWSS-IS: A Technical Framework for Digitalized Wastewater Surveillance-Information System Structure, Data Standards,
Shuxin Hao1, Liang Zhang1, Fuchang Deng1
1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
China launched the Chinese Urban Wastewater Surveillance System (CWSS-IS) to track infectious diseases. This national wastewater monitoring system enhances public health response with efficient data collection and analysis.
Area of Science:
- Public Health
- Environmental Science
- Infectious Disease Surveillance
Background:
- Wastewater monitoring is crucial for public health, complementing traditional disease surveillance.
- Integrating wastewater data enhances infectious disease tracking and response capabilities.
- China's unified digital infrastructure facilitated the development of a national system.
Purpose of the Study:
- To develop and implement the Information System for the Chinese Urban Wastewater Surveillance System (CWSS-IS).
- To establish a unified platform for national wastewater-based epidemiology.
- To improve efficiency, security, and scalability of infectious disease monitoring.
Main Methods:
- Development of the CWSS-IS based on China CDC's digital infrastructure.
- Inclusion of modules for monitoring sites, sample collection, physicochemical indicators, lab results, and sequencing data.
- Standardization of data collection, processing, and quality control (QC) rules.
Main Results:
- National launch in February 2024, covering 169 cities with over 3,000 users.
- Collection of 118,729 wastewater samples by January 2026.
- Demonstrated significant improvements in efficiency, convenience, security, and scalability over previous methods.
Conclusions:
- The CWSS-IS provides valuable insights into infectious disease prevalence, informing public health initiatives.
- The system serves as a model for developing regional wastewater monitoring information systems.
- Future work should focus on data fusion, AI, and computational platforms for enhanced early warning.
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