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

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 meas...

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Publicado en:American Journal of Public Health Vol. 115; no. 7; pp. 1115 - 1120
Autores principales: Javornik Cregeen, Sara, Tisza, Michael J., Hanson, Blake, Cook, Marissa, Surathu, Anil, Schneider, Rebecca, Wu, Jingjing, Short, Kirstin, Domakonda, Kaavya, Hopkins, Loren, Ross, Matthew C., Petrosino, Joseph F., Deegan, Jennifer, Stadler, Lauren B., Boerwinkle, Eric, Maresso, Anthony
Formato: Artículo
Publicado: American Public Health Association Jul2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2025
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      pub: American Public Health Association
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        atl: Sequencing-Based Detection of Measles in Wastewater: Texas, January 2025.
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        au:
          Javornik Cregeen, Sara
          Tisza, Michael J.
          Hanson, Blake
          Cook, Marissa
          Surathu, Anil
          Schneider, Rebecca
          Wu, Jingjing
          Short, Kirstin
          Domakonda, Kaavya
          Hopkins, Loren
          Ross, Matthew C.
          Petrosino, Joseph F.
          Deegan, Jennifer
          Stadler, Lauren B.
          Boerwinkle, Eric
          Maresso, Anthony
        affil:
          Alkek Center for Metagenomics and Microbiome Research and the Department of Molecular Virology and Microbiology at Baylor College of Medicine, Houston, TX.
          School of Public Health at University of Texas Health Science Center at Houston.
          Houston Health Department.
          Department of Civil and Environmental Engineering at Rice University, Houston.
          Houston Health Department, Rice University, Houston.
      su:
        Texas
        Public health surveillance
        Cost effectiveness
        Epidemics
        Water pollution
        Sewage analysis
        Environmental monitoring
        Research funding
        Measles
        Polymerase chain reaction
        Aquatic microbiology
        Longitudinal method
        Nucleic acids
        Sequence analysis
        Genotypes
        Genomes
        Vaccination status
        Sensitivity & specificity (Statistics)
      sug:
        subj:
          Public health surveillance
          Cost effectiveness
          Epidemics
          Water pollution
          Texas
          Environmental Consulting Services
          Sewage analysis
          Environmental monitoring
          Research funding
          Measles
          Polymerase chain reaction
          Aquatic microbiology
          Longitudinal method
          Nucleic acids
          Sequence analysis
          Genotypes
          Genomes
          Vaccination status
          Sensitivity & specificity (Statistics)
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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