Emerg Infect Dis. 2024 Aug;30(8):1580-1588. doi: 10.3201/eid3008.240225.
Wastewater surveillance is an effective way to track the prevalence of infectious agents within a community and, potentially, the spread of pathogens between jurisdictions. We conducted a retrospective wastewater surveillance study of the 2022-23 influenza season in 2 communities, Detroit, Michigan, USA, and Windsor-Essex, Ontario, Canada, that form North America's largest cross-border conurbation. We observed a positive relationship between influenza-related hospitalizations and the influenza A virus (IAV) wastewater signal in Windsor-Essex (ρ = 0.785; p<0.001) and an association between influenza-related hospitalizations in Michigan and the IAV wastewater signal for Detroit (ρ = 0.769; p<0.001). Time-lagged cross correlation and qualitative examination of wastewater signal in the monitored sewersheds showed the peak of the IAV season in Detroit was delayed behind Windsor-Essex by 3 weeks. Wastewater surveillance for IAV reflects regional differences in infection dynamics which may be influenced by many factors, including the timing of vaccine administration between jurisdictions.
污水监测是一种有效的方法，可以追踪社区内传染病原体的流行情况，以及病原体在司法管辖区之间的传播情况。我们对美国密歇根州底特律市和加拿大安大略省温莎-埃塞克斯市这两个社区 2022-23 年流感季节进行了回顾性污水监测研究，这两个社区构成了北美最大的跨境城市群。我们观察到温莎-埃塞克斯的流感相关住院与甲型流感病毒（IAV）污水信号之间存在正相关关系（ρ=0.785；p<0.001），密歇根州的流感相关住院与底特律的 IAV 污水信号之间存在关联（ρ=0.769；p<0.001）。监测下水道流域污水信号的时间滞后交叉相关和定性分析表明，底特律的 IAV 季节高峰比温莎-埃塞克斯滞后 3 周。IAV 的污水监测反映了感染动态的区域差异，这些差异可能受到许多因素的影响，包括司法管辖区之间疫苗接种时间的差异。
