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

Human adenovirus outbreak at a university campus monitored by wastewater and clinical surveillance.
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通过废水和临床监测监测大学校园的人类腺病毒爆发。

DOI:
10.1101/2024.03.27.24304990
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发表时间:
2024
期刊:
medRxiv : the preprint server for health sciences
影响因子:
--
通讯作者:
Lim,EfremS
Lim,EfremS
中科院分区:
--
文献类型:
--
作者:
Holland,StevenC;Smith,MatthewF;Holland,LaRindaA;Maqsood,Rabia;Hu,JamesC;Murugan,Vel;Driver,ErinM;Halden,RolfU;Lim,EfremS

文献摘要

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人口密集的地区容易发生呼吸道病毒爆发。我们在一所大型公立大学校园内监测废水和门诊病人的呼吸道病毒。在2023年的22周内,我们使用下一代测序技术对16个地点的校园下水道系统进行了病毒监测。在此期间,我们在废水中检测到人类腺病毒(HAdV)水平激增。因此,我们在校内诊所对急性呼吸道感染患者进行了临床监测。从收集的123个咽拭子和/或鼻拭子的全基因组测序中,我们确定了HAdV的爆发,特别是HAdV-E4和HAdV-B7基因型在时间上重叠。在临床感染中证实了在废水中发现的HAdV基因型的时间动态和比例。我们跟踪了临床病毒序列中发现的特定单核苷酸多态性(SNP),并表明它们出现在与临床表现时间一致的废水信号中,将HAdV的社区传播与疫情联系起来。这项研究展示了如何将基于废水的流行病学与门诊医疗机构的监测相结合,以监测易发生呼吸道病毒爆发的地区,并提供公共卫生指导。
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.