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Wastewater monitoring can anchor global disease surveillance systems

Diamond, Megan B.
Ahmed, Warish
Amman, Fabian
Olusola, Aruna
Badilla-Aguilar, Andrei
Bar-Or, Itay
Bergthaler, Andreas
Bines, Julie E.
Bivins, Aaron W.
Boehm, Alexandra B.
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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.

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2023-06-15
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Peer reviewed scientific article
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Wastewater-based epidemiological surveillance #22654#
Related project
Wastewater #1000706#
WWSURV #1000522#
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