Wastewater monitoring can anchor global disease surveillance systems
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 surfac...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/131074 |
| _version_ | 1855521983938166784 |
|---|---|
| author | Keshaviah, A. Diamond, M. Wade, M.J. Scarpino, S.V. Global Wastewater Action Group |
| author_browse | Diamond, M. Global Wastewater Action Group Keshaviah, A. Scarpino, S.V. Wade, M.J. |
| author_facet | Keshaviah, A. Diamond, M. Wade, M.J. Scarpino, S.V. Global Wastewater Action Group |
| author_sort | Keshaviah, A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Journal Article |
| id | CGSpace131074 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1310742025-12-08T09:54:28Z Wastewater monitoring can anchor global disease surveillance systems Keshaviah, A. Diamond, M. Wade, M.J. Scarpino, S.V. Global Wastewater Action Group health wastewater epidemiology 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 2023-07-11T08:08:13Z 2023-07-11T08:08:13Z Journal Article https://hdl.handle.net/10568/131074 en Open Access Elsevier Keshaviah, A., Diamond, M., Wade, M.J. and Scarpino, S.V. on behalf of the Global Wastewater Action Group. 2023. Wastewater monitoring can anchor global disease surveillance systems. Lancet Global Health 11(6): e976–e981. |
| spellingShingle | health wastewater epidemiology Keshaviah, A. Diamond, M. Wade, M.J. Scarpino, S.V. Global Wastewater Action Group Wastewater monitoring can anchor global disease surveillance systems |
| title | Wastewater monitoring can anchor global disease surveillance systems |
| title_full | Wastewater monitoring can anchor global disease surveillance systems |
| title_fullStr | Wastewater monitoring can anchor global disease surveillance systems |
| title_full_unstemmed | Wastewater monitoring can anchor global disease surveillance systems |
| title_short | Wastewater monitoring can anchor global disease surveillance systems |
| title_sort | wastewater monitoring can anchor global disease surveillance systems |
| topic | health wastewater epidemiology |
| url | https://hdl.handle.net/10568/131074 |
| work_keys_str_mv | AT keshaviaha wastewatermonitoringcananchorglobaldiseasesurveillancesystems AT diamondm wastewatermonitoringcananchorglobaldiseasesurveillancesystems AT wademj wastewatermonitoringcananchorglobaldiseasesurveillancesystems AT scarpinosv wastewatermonitoringcananchorglobaldiseasesurveillancesystems AT globalwastewateractiongroup wastewatermonitoringcananchorglobaldiseasesurveillancesystems |