利用下一代测序在基于废水的流行病学和全球疾病监测中的力量
Kata Farkas1, Rachel C Williams2,3, Luke S Hillary4
1School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK. fkata211@gmail.com.
Food and environmental virology
|November 30, 2024
概括
使用下一代测序 (NGS) 的基于废水的流行病学 (WBE) 可以增强病原体监测. 将NGS整合到常规的WBE程序中,可以改善对新出现的传染病威胁的早期检测,以更好地应对流行病的准备.
科学领域:
- 环境微生物学环境微生物学
- 公共卫生监督是对公共卫生的监督.
- 基因组流行病学基因组流行病学
背景情况:
- 基于废水的流行病学 (WBE) 是监测社区感染的强大工具,包括无症状病例.
- 下一代测序 (NGS) 为废水中病原体检测和遗传分析提供了先进的功能.
- 目前的WBE程序往往没有充分利用NGS的全部潜力来识别新的和已知的病毒威胁.
研究的目的:
- 批判性地评估常见NGS工具对于常规WBE的适用性.
- 评估NGS在检测具有流行病或流行病潜力的新兴传染病威胁方面的能力.
- 为加强全球监督提供将NGS整合到WBE的建议.
主要方法:
- 审查当前的NGS技术及其在WBE中的应用.
- 评估NGS用于变种和重组基因型识别 (例如,SARS-CoV-2,脊髓灰质炎病毒).
- 在废水样本中检测已知和新型病毒的NGS的评估.
主要成果:
- 在WBE中,NGS使得除了定量病原体评估之外,可以进行详细的分析.
- 许多先进的NGS工具在常规WBE程序中仍未得到充分利用.
- 国家污水系统显示了识别废水中新出现的病毒威胁的巨大潜力.
结论:
- 将NGS集成到WBE可以显著提高新出现的传染病威胁的检测.
- 提供了基于证据的建议,用于在WBE计划中采用NGS.
- 在WBE中使用NGS支持在One Health框架内做出明智决策,以改善疫情防控.
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