Biobot Analytics, Inc., Cambridge, MA, USA.
Biobot Analytics, Inc., Cambridge, MA, USA.
Water Res. 2021 Sep 1;202:117433. doi: 10.1016/j.watres.2021.117433. Epub 2021 Jul 15.
Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a "leading indicator" of COVID-19 prevalence. Multiple studies have corroborated the leading indicator concept by showing that the correlation between wastewater measurements and COVID-19 case counts is maximized when case counts are lagged. However, the meaning of "leading indicator" will depend on the specific application of wastewater-based epidemiology, and the correlation analysis is not relevant for all applications. In fact, the quantification of a leading indicator will depend on epidemiological, biological, and health systems factors. Thus, there is no single "lead time" for wastewater-based COVID-19 monitoring. To illustrate this complexity, we enumerate three different applications of wastewater-based epidemiology for COVID-19: a qualitative "early warning" system; an independent, quantitative estimate of disease prevalence; and a quantitative alert of bursts of disease incidence. The leading indicator concept has different definitions and utility in each application.
个体感染 SARS-CoV-2 后,可能会在出现症状之前通过粪便排出病毒,这表明对废水中 SARS-CoV-2 浓度的测量可能是 COVID-19 流行的“领先指标”。多项研究通过表明滞后 COVID-19 病例数时,废水测量值与 COVID-19 病例数之间的相关性最大,证实了领先指标的概念。然而,“领先指标”的含义将取决于基于废水的流行病学的具体应用,相关分析并不适用于所有应用。事实上,领先指标的定量取决于流行病学、生物学和卫生系统因素。因此,基于废水的 COVID-19 监测没有单一的“提前期”。为了说明这种复杂性,我们列举了基于废水的流行病学在 COVID-19 中的三种不同应用:定性的“早期预警”系统;对疾病流行率的独立、定量估计;以及疾病发病率的爆发的定量警报。领先指标的概念在每种应用中的定义和效用都不同。