Tracking diarrhea viruses and mpox virus using the wastewater surveillance network in Hong Kong

诺如病毒 废水 轮状病毒 病毒学 腹泻 爆发 病毒 污水处理 生物 环境卫生 环境科学 医学 环境工程 内科学
作者
Xiawan Zheng,Keyue Zhao,Bingjie Xue,Yu Deng,Xiaoqing Xu,Weifu Yan,Chao Rong,Kathy Leung,Joseph T. Wu,GM Leung,Malik Peiris,Leo L. M. Poon,Tong Zhang
出处
期刊:Water Research [Elsevier BV]
卷期号:255: 121513-121513 被引量:9
标识
DOI:10.1016/j.watres.2024.121513
摘要

The wastewater surveillance network successfully established for COVID-19 showed great potential to monitor other infectious viruses, such as norovirus, rotavirus and mpox virus. In this study, we established and validated detection methods for these viruses in wastewater. We developed a supernatant-based method to detect RNA viruses from wastewater samples and applied it to the monthly diarrhea viruses (norovirus genogroup I & II, and rotavirus) surveillance in wastewater treatment plants (WWTPs) at a city-wide level for 16 months. Significant correlations were observed between the diarrhea viruses concentrations in wastewater and detection rates in faecal specimens by clinical surveillance. The highest norovirus concentration in wastewater was obtained in winter, consistent with the seasonal pattern of norovirus outbreak in Hong Kong. Additionally, we established a pellet-based method to monitor DNA viruses in wastewater and detected weak signals for mpox virus in wastewater from a WWTP serving approximately 16,700 people, when the first mpox patient in Hong Kong was admitted to the hospital within the catchment area. Genomic sequencing provided confirmatory evidence for the validity of the results. Our findings emphasized the efficacy of the wastewater surveillance network in WWTPs as a cost-effective tool to track the transmission trend of diarrhea viruses and to provide sensitive detection of novel emerging viruses such as mpox virus in low-prevalence areas. The developed methods and surveillance results provide confidence for establishing robust wastewater surveillance programs to control infectious diseases in the post-pandemic era.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
MozzieMiao应助wqq采纳,获得10
刚刚
Ava应助1111采纳,获得10
2秒前
2秒前
5秒前
王倩颖发布了新的文献求助10
6秒前
8秒前
南风完成签到,获得积分10
8秒前
小乔应助qizhixu采纳,获得10
9秒前
bobo完成签到,获得积分10
9秒前
阿鑫关注了科研通微信公众号
10秒前
10秒前
11秒前
11秒前
11秒前
11秒前
南风发布了新的文献求助40
11秒前
11秒前
愉快的真应助27小天使采纳,获得30
12秒前
乐乐应助草莓雪酪采纳,获得10
12秒前
会飞的猪完成签到,获得积分10
12秒前
风之新酱关注了科研通微信公众号
12秒前
12秒前
英姑应助pc采纳,获得10
13秒前
科研通AI6.4应助yolo采纳,获得30
13秒前
13秒前
周围完成签到,获得积分10
14秒前
1111发布了新的文献求助10
14秒前
刻苦不弱完成签到,获得积分10
14秒前
wixoss发布了新的文献求助10
15秒前
15秒前
15秒前
16秒前
16秒前
李健应助Keitaro采纳,获得10
17秒前
图林完成签到,获得积分10
18秒前
18秒前
小亮发布了新的文献求助10
18秒前
CCL发布了新的文献求助10
20秒前
图林发布了新的文献求助10
22秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7366827
求助须知:如何正确求助?哪些是违规求助? 8974897
关于积分的说明 19080215
捐赠科研通 7010727
什么是DOI,文献DOI怎么找? 3224199
关于科研通互助平台的介绍 2387871
邀请新用户注册赠送积分活动 2204940