Wastewater monitoring can anchor global disease surveillance systems.

Autor:	Keshaviah A; Mathematica, Princeton, NJ, USA., Diamond MB; The Rockefeller Foundation, New York, NY, USA., Wade MJ; Analytics & Data Science Directorate, UK Health Security Agency, London, UK., Scarpino SV; Institute for Experiential AI, Network Science Institute, Department of Health Sciences, and Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA; Santa Fe Institute, Santa Fe, NM, USA; Vermont Complex Systems Center, University of Vermont, Burlington, VT, USA. Electronic address: s.scarpino@northeastern.edu.
Jazyk:	angličtina
Zdroj:	The Lancet. Global health [Lancet Glob Health] 2023 Jun; Vol. 11 (6), pp. e976-e981.
DOI:	10.1016/S2214-109X(23)00170-5
Abstrakt:	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. Competing Interests: Declaration of interests AK received funding from The Rockefeller Foundation to support this work; MBD and SVS were employees of The Rockefeller Foundation at the time of this study. All other authors declare no competing interests. (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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