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

• Main Authors: 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.
• 其他作者: Asian School of the Environment
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Environmental engineering; Wastewater Surveillance; Wastewater-Based Epidemiology
• 在線閱讀: 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...