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Human adenovirus outbreak at a university campus monitored by wastewater and clinical surveillance. | LitMetric

AI Article Synopsis

  • This study investigated respiratory virus outbreaks on a large university campus by monitoring wastewater and clinic patients over 22 weeks in 2023.* -
  • Researchers identified a surge in human adenovirus (HAdV) in wastewater and subsequently confirmed an outbreak of specific HAdV genotypes (HAdV-E4 and HAdV-B7) through clinical testing.* -
  • The findings highlighted the effectiveness of combining wastewater analysis with clinical surveillance to track virus transmission, helping to inform public health strategies.*

Article Abstract

Areas of dense population congregation are prone to experience respiratory virus outbreaks. We monitored wastewater and clinic patients for the presence of respiratory viruses on a large, public university campus. Campus sewer systems were monitored in 16 locations for the presence of viruses using next generation sequencing over 22 weeks in 2023. During this period, we detected a surge in human adenovirus (HAdV) levels in wastewater. Hence, we initiated clinical surveillance at an on-campus clinic from patients presenting with acute respiratory infection. From whole genome sequencing of 123 throat and/or nasal swabs collected, we identified an outbreak of HAdV, specifically of HAdV-E4 and HAdV-B7 genotypes overlapping in time. The temporal dynamics and proportions of HAdV genotypes found in wastewater were corroborated in clinical infections. We tracked specific single nucleotide polymorphisms (SNPs) found in clinical virus sequences and showed that they arose in wastewater signals concordant with the time of clinical presentation, linking community transmission of HAdV to the outbreak. This study demonstrates how wastewater-based epidemiology can be integrated with surveillance at ambulatory healthcare settings to monitor areas prone to respiratory virus outbreaks and provide public health guidance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10996756PMC
http://dx.doi.org/10.1101/2024.03.27.24304990DOI Listing

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