Integrating measles wastewater and clinical whole-genome sequencing enables high-resolution tracking of virus evolution and transmission

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Authors: Sipho Gwala, Joshua I. Levy, Victor Vusi Mabasa, Kathleen Subramoney, Nkosenhle Lindo Ndlovu, Chris Kent, Maryam Ahmadi Jeshvaghane, Praneeth Gangavarapu, Menzi Sikakane, Natasha Singh, Mantshali Motloung, Lethabo Monametsi
+12 more Lebohang Rabotapi, Emmanuel Phalane, Mokgaetji Macheke, Fiona Els, Chenoa Sankar, Tshepo Motsamai, Sibonginkosi Maposa, Nishi Prabdial‐Sing, Joshua Quick, Kristian G. Andersen, Kerrigan McCarthy, Mukhlid Yousif
Cited by: 1
References: 49

Abstract

ABSTRACT Measles outbreaks have surged globally in recent years, but current surveillance systems have limited capacity to monitor measles virus (MeV) transmission and evolution at population scale. Although MeV can be detected in wastewater, the public health potential of wastewater genomic surveillance for MeV remains largely unexplored. Here, we deploy sensitive, low-cost MeV wastewater genomic surveillance combining virus concentration, whole-genome amplicon sequencing, and bioinformatic analysis alongside routine clinical genomic surveillance during the 2024-25 outbreak in South Africa. Integrated phylogenetic analyses of wastewater and clinical MeV genomes revealed previously undetected interprovincial spread and transmission links not captured by standard N450 sequencing. Our findings demonstrate that wastewater-integrated whole-genome surveillance expands the coverage and resolution of routine MeV monitoring and provides a scalable tool to advance measles control and elimination efforts.

Fields of Study & Subjects

Virology and Viral Diseases SARS-CoV-2 detection and testing Respiratory viral infections research

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
23 February 2026
Document type
Preprint