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Community-led standards for global wastewater-based infectious disease surveillance
Emily A Smith1, Maryam Ahmadi Jeshvaghane2, Dylan A Pilz2
1Center for Infectious Disease Research and Policy, University of Minnesota, Minneapolis, Minnesota, United States of America.
The COVID-19 pandemic highlighted the importance of wastewater and environmental surveillance (WES) for public health. This study provides open, community-driven guidance to standardize WES methods, ensuring reproducible and accessible implementation globally.
Area of Science:
- Public Health
- Environmental Science
- Genomic Epidemiology
Background:
- The COVID-19 pandemic accelerated the use of wastewater and environmental surveillance (WES) for public health.
- Existing practical, scientific, ethical, and legal standards for WES implementation are limited.
- There is a need for standardized, accessible guidance for effective WES.
Purpose of the Study:
- To address the lack of standardized WES guidelines.
- To develop community-driven, open guidance on WES methods and best practices.
- To promote transparent, reproducible, and accessible WES implementation worldwide.
Main Methods:
- Established a multidisciplinary international working group under the Public Health Alliance for Genomic Epidemiology (PHA4GE).
- Integrated expertise from public health researchers, practitioners, bioethicists, and legal scholars.
- Incorporated feedback from the broader public health community to develop guidance.
Main Results:
- Developed a continuously updated framework for WES.
- The framework covers surveillance strategies, data analysis, data sharing, and ethical-legal considerations.
- Guidance aligns with global public health authorities and is adaptable to diverse contexts.
Conclusions:
- The developed WES guidance framework aims to standardize and improve global public health surveillance.
- The open-access guidance promotes transparency, reproducibility, and accessibility in WES.
- This initiative supports the effective use of WES as a complement to traditional disease monitoring.
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