Identification and genome sequencing of an influenza H3N2 variant in wastewater from elementary schools during a surge of influenza A cases in Las Vegas, Nevada

内华达州拉斯维加斯甲型流感病例激增期间,对小学废水中的 H3N2 流感变体进行鉴定和基因组测序

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作者:Van Vo, Anthony Harrington, Ching-Lan Chang, Hayley Baker, Michael A Moshi, Nabih Ghani, Jose Yani Itorralba, Richard L Tillett, Elizabeth Dahlmann, Natnael Basazinew, Richard Gu, Tiffany D Familara, Sage Boss, Fritz Vanderford, Moonis Ghani, Austin J Tang, Alice Matthews, Katerina Papp, Eakalak Kha

Abstract

Real-time surveillance of infectious diseases at schools or in communities is often hampered by delays in reporting due to resource limitations and infrastructure issues. By incorporating quantitative PCR and genome sequencing, wastewater surveillance has been an effective complement to public health surveillance at the community and building-scale for pathogens such as poliovirus, SARS-CoV-2, and even the monkeypox virus. In this study, we asked whether wastewater surveillance programs at elementary schools could be leveraged to detect RNA from influenza viruses shed in wastewater. We monitored for influenza A and B viral RNA in wastewater from six elementary schools from January to May 2022. Quantitative PCR led to the identification of influenza A viral RNA at three schools, which coincided with the lifting of COVID-19 restrictions and a surge in influenza A infections in Las Vegas, Nevada, USA. We performed genome sequencing of wastewater RNA, leading to the identification of a 2021-2022 vaccine-resistant influenza A (H3N2) 3C.2a1b.2a.2 subclade. We next tested wastewater samples from a treatment plant that serviced the elementary schools, but we were unable to detect the presence of influenza A/B RNA. Together, our results demonstrate the utility of near-source wastewater surveillance for the detection of local influenza transmission in schools, which has the potential to be investigated further with paired school-level influenza incidence data.

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