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污水监测可以为全球疾病监测系统提供依据。

Wastewater monitoring can anchor global disease surveillance systems.

机构信息

Mathematica, Princeton, NJ, USA.

The Rockefeller Foundation, New York, NY, USA.

出版信息

Lancet Glob Health. 2023 Jun;11(6):e976-e981. doi: 10.1016/S2214-109X(23)00170-5.

Abstract

To inform the development of global wastewater monitoring systems, we surveyed programmes in 43 countries. Most programmes monitored predominantly urban populations. In high-income countries (HICs), composite sampling at centralised treatment plants was most common, whereas grab sampling from surface waters, open drains, and pit latrines was more typical in low-income and middle-income countries (LMICs). Almost all programmes analysed samples in-country, with an average processing time of 2·3 days in HICs and 4·5 days in LMICs. Whereas 59% of HICs regularly monitored wastewater for SARS-CoV-2 variants, only 13% of LMICs did so. Most programmes share their wastewater data internally, with partnering organisations, but not publicly. Our findings show the richness of the existing wastewater monitoring ecosystem. With additional leadership, funding, and implementation frameworks, thousands of individual wastewater initiatives can coalesce into an integrated, sustainable network for disease surveillance-one that minimises the risk of overlooking future global health threats.

摘要

为了为全球废水监测系统的发展提供信息,我们调查了 43 个国家的相关项目。大多数项目主要监测城市人口。在高收入国家(HICs),最常见的是在集中处理厂进行综合抽样,而在低收入和中等收入国家(LMICs),更典型的是从地表水、明渠和坑式厕所进行随机抽样。几乎所有项目都在国内分析样本,HICs 的平均处理时间为 2.3 天,而 LMICs 则为 4.5 天。虽然 59%的 HICs 定期监测 SARS-CoV-2 变体在废水中的存在情况,但只有 13%的 LMICs 这样做。大多数项目在内部与合作伙伴组织分享废水数据,但不会公开分享。我们的发现展示了现有废水监测生态系统的丰富性。通过额外的领导力、资金和实施框架,数以千计的单独的废水倡议可以汇聚成一个用于疾病监测的综合、可持续的网络——这可以最大程度地降低忽视未来全球健康威胁的风险。

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