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Persistent Identifier
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perma:LIST.RW588U |
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Publication Date
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2026-07-06 |
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Title
| Wastewater monitoring can anchor global disease surveillance systems [* Cross-Reference *] |
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Other Identifier
| https://doi.org/10.1016/S2214-109X(23)00170-5
SCOPUS_ID:85159759676 |
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Author
| Keshaviah, Aparna (Mathematica Policy Research Inc.)
Diamond, Megan B. (Rockefeller Foundation)
Wade, Matthew J. (UK Health Security Agency)
Scarpino, Samuel V. (Khoury College of Computer Sciences, Santa Fe Institute, College of Engineering and Mathematical Sciences)
Ahmed, Warish
Amman, Fabian
Aruna, Olusola
Badilla-Aguilar, Andrei
Bar-Or, Itay
Bergthaler, Andreas
Bines, Julie E.
Bivins, Aaron W.
Boehm, Alexandria B.
Brault, Jean Martin
Burnet, Jean Baptiste
Chapman, Joanne R.
Chaudhuri, Angela
de Roda Husman, Ana Maria
Delatolla, Robert
Dennehy, John J.
Donato, Celeste
Duizer, Erwin
Egwuenu, Abiodun
Erster, Oran
Fatta-Kassinos, Despo
Gaggero, Aldo
Gilpin, Deirdre F.
Gilpin, Brent J.
Graber, Tyson E.
Green, Christopher A.
Handley, Amanda
Hewitt, Joanne
Holm, Rochelle H.
Insam, Heribert
Johnson, Marc C.
Johnson, Rabia
Jones, Davey L.
Julian, Timothy R.
Jyothi, Asha
Kohn, Tamar
Kuhn, Katrin G.
La Rosa, Giuseppina
Lesenfants, Marie
Manuel, Douglas G.
D'Aoust, Patrick M.
Markt, Rudolf
McGrath, John W.
Medema, Gertjan
Moe, Christine L.
Murni, Indah Kartika
Naser, Humood
Naughton, Colleen C.
Ogorzaly, Leslie
Oktaria, Vicka
Ort, Christoph
Karaolia, Popi
Patel, Ekta H.
Paterson, Steve
Rahman, Mahbubur
Rivera-Navarro, Pablo
Robinson, Alex
Santa-Maria, Monica C.
Schmitt, Heike
Smith, Theodore
Stadler, Lauren B.
Stassijns, Jorgen
Stenico, Alberta
Street, Renee A.
Suffredini, Elisabetta
Susswein, Zachary
Trujillo, Monica
Wolfe, Marlene K.
Yakubu, Habib
Zanoli Sato, Maria Ines |
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Point of Contact
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Use email button above to contact.
LIST RDS (LIST) |
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Description
| 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. (2023-06-01)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1016/S2214-109X(23)00170-5 for the original and latest version of the dataset and data downloads*** (2026-06-19) |
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Subject
| Earth and Environmental Sciences |
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Keyword
| inform the development
wastewater monitoring systems
monitoring systems
countries
surveyed programmes |
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Funding Information
| Rockefeller Foundation |
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Deposit Date
| 2023-06-01 |
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Data Type
| Review |
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Data Source
| Lancet Global Health; eISSN: 2214109X, vol. 11, n° 6, pp. e976-e981, 2023 |