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Sequencing-Based Detection of Measles in Wastewater: Texas, January 2025

Sara Javornik Cregeen, Michael J. Tisza, Blake Hanson, Marissa Cook, Anil Surathu, Rebecca Schneider, Jingjing Wu, Kirstin Short, Kaavya Domakonda, Loren Hopkins, Matthew C. Ross, Joseph F. Petrosino, Jennifer Deegan, Lauren B. Stadler, Eric Boerwinkle, Anthony Maresso

Research output: Contribution to journalArticlepeer-review

Abstract

Measles is a potentially deadly viral infection spread via respiratory droplets from infected individuals. Outbreaks occur when vaccine coverage drops below the threshold of herd, or community, immunity. Using a sequencing-based approach, we report the prospective (January 7, 2025) detection of measles in nucleic acid extracts from 2 wastewater treatment plants in Houston, Texas, with a population of more than 218 000 residents. The sequencing data from 2 samples contained 53 unique reads mapping to 11 different regions of the measles virus genome with a 99.4% match to genotype B3. Importantly, no detections were observed from 821 previous samples from the same city spanning nearly 3 years of monitoring. The findings were confirmed using droplet digital polymerase chain reaction. A concomitant investigation identified 2 unvaccinated measles-positive travelers living within the same sewershed as the wastewater detection event. This work suggests that sequencing-based wastewater analysis is valuable as a comprehensive early detection warning system that facilitates more targeted epidemiological investigation.

Original languageEnglish (US)
Pages (from-to)1115-1119
Number of pages5
JournalAmerican Journal of Public Health
Volume115
Issue number7
DOIs
StatePublished - Jul 2025

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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