Wastewater testing during the South African 2022-2023 measles outbreak demonstrates the potential of environmental surveillance to support measles elimination
Ndlovu, N.; Mabasa, V.; Sankar, C.; Msomi, N.; Phalane, E.; Singh, N.; Gwala, S.; Els, F.; Macheke, M.; Maposa, S.; Yousif, M.; McCarthy, K.
Show abstract
BackgroundSurveillance is a key component of the WHO 2030 measles elimination strategy. Wastewater and environmental surveillance (WES) has successfully supported polio surveillance, however, it has not been applied to measles control. AimWe developed a measles virus (MeV) digital-PCR (dPCR) assay using WHO recommended clinical primer-probes and applied it to retained wastewater samples from national SARS-CoV-2 wastewater sentinel surveillance sites. We compared results with national clinical measles surveillance data. SettingWastewater concentrates were collected from 47 SARS-CoV-2 wastewater surveillance sites across South Africa. MethodsWe determined the limit of detection using the assay on serial dilutions of MeV positive controls. Subsequently we conducted batch testing on wastewater concentrates retained at -20{degrees}C for up to 15 months and compared wastewater results with national laboratory-confirmed measles case data by district and epidemiological week. ResultsOur assay identified 43/2149 (2%) samples containing MeV RNA in concentrations ranging from 1.97 - 165.8 genome copies/mL. Amongst 27 week-district instances where at least one MeV positive wastewater sample was detected, no clinical cases were detected in 13 (48%) of these. ConclusionDespite likely RNA degradation, it was possible to detect MeV in wastewater samples in districts where clinical surveillance failed to identify cases. ContributionWES has evident potential to strengthen surveillance in support of the measles elimination agenda. With immediate processing and improved wastewater RNA concentration methods, WES sensitivity will likely increase. FundingThis work was funded by BMGF (INV-049271)
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Respiratory virus infection dynamics and genomic surveillance to detect seasonal influenza subtypes in wastewater: a longitudinal study in Bengaluru, India 96%
- Academic institution extensive, building-by-building wastewater-based surveillance platform for SARS-CoV-2 monitoring, clinical data correlation, and potential national proxy 94%
- City-wide Built Environment SARS-CoV-2 Detection for COVID-19 Surveillance 93%
Similar papers in this journal
- Wastewater Monitoring of SARS-CoV-2 from Acute Care Hospitals Identifies Nosocomial Transmission and Outbreaks 96%
- High-resolution within-sewer SARS-CoV-2 surveillance facilitates informed intervention 96%
- Benchmarking a massively parallel nucleic acid hybridization platform for monitoring biomarkers of public health significance in wastewater 95%
Similar papers in this journal
- Applicability of Neighborhood and Building Scale Wastewater-Based Genomic Epidemiology to Track the SARS-CoV-2 Pandemic and other Pathogens 96%
- COVID-19 Prediction using Genomic Footprint of SARS-CoV-2 in Air, Surface Swab and Wastewater Samples 96%
- Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: a six-month long study in Charlotte, North Carolina 96%
Similar papers in this journal
- Wastewater surveillance in smaller college communities may aid future public health initiatives 97%
- Monitoring occurrence of SARS-CoV-2 in school populations: a wastewater-based approach 96%
- Precision long-read metagenomics sequencing for food safety by detection and assembly of Shiga toxin-producing Escherichia coli in irrigation water 95%
Similar papers in this journal
- Simultaneous detection and quantification of multiple pathogen targets in wastewater 97%
- Environmental surveillance of soil-transmitted helminths and other enteric pathogens in settings without networked wastewater infrastructure 97%
- Advancing antimicrobial resistance monitoring in surface waters with metagenomic and quasimetagenomic methods 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.