Wastewater-based Epidemiology for Infectious Diseases: The Foundations and Future Perspectives

Wakana Oishi, Yifan Zhu, C. Maruo, M. Saito, M. Kitajima, D. Sano
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Abstract

Wastewater-base epidemiology may be a promising approach to capturing the dynamics of the spread of diseases as well as emerging mutants in a catchment. Herein, we describe the key components of the wastewater-based epidemiology of viral infectious diseases, including the optimization of the methodology of the detection and quantification of viral genomes and the development of a back-calculation model to estimate the number of infected individuals. Early warning based on the influent viral concentration in a wastewater treatment plant may be feasible when it takes longer than one week to tally the number of patients of the target infectious disease by the currently used sentinel surveillance under the infectious diseases control law. The variables of a back-calculation model are categorized into two types: common variables irrespective of the type of infectious disease and variables specific to the infectious disease including shedding profiles of viruses. Greater effort is required to develop a robust back-calculation model against variability and uncertainty due to environmental, geological, and personal differences.
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基于废水的传染病流行病学:基础和未来展望
基于废水的流行病学可能是一种很有前途的方法,可以捕捉集水区疾病传播的动态以及新出现的突变体。在此,我们描述了基于废水的病毒性传染病流行病学的关键组成部分,包括病毒基因组检测和量化方法的优化以及用于估计感染个体数量的反向计算模型的开发。当现行传染病防治法规定的哨点监测方法需要一周以上的时间才能统计出目标传染病患者人数时,基于污水处理厂进水病毒浓度的早期预警是可行的。反算模型的变量分为两类:与传染病类型无关的通用变量和包括病毒脱落谱在内的传染病特有变量。需要更大的努力来开发一个强大的反向计算模型,以应对环境、地质和个人差异造成的变异性和不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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