Metrics to relate COVID-19 wastewater data to clinical testing dynamics

• المؤلفون الرئيسيون: Xiao, Amy, Wu, Fuqing, Bushman, Mary, Zhang, Jianbo, Imakaev, Maxim, Chai, Peter R., Duvallet, Claire, Endo, Noriko, Erickson, Timothy B., Armas, Federica, Arnold, Brian, Chen, Hongjie, Chandra, Franciscus, Ghaeli, Newsha, Gu, Xiaoqiong, Hanage, William P., Lee, Wei Lin, Matus, Mariana, McElroy, Kyle A., Moniz, Katya, Rhode, Steven F., Thompson, Janelle, Alm, Eric J.
• مؤلفون آخرون: Asian School of the Environment
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Environmental engineering; Wastewater Surveillance; Wastewater-Based Epidemiology
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162600

Wastewater surveillance has emerged as a useful tool in the public health response to the COVID-19 pandemic. While wastewater surveillance has been applied at various scales to monitor population-level COVID-19 dynamics, there is a need for quantitative metrics to interpret wastewater data in the co...