Modelling the effect of public health interventions on COVID-19 case counts in a closed population through wastewater surveillance: implications in infectious disease outbreak response and epidemiology

通过废水监测模拟公共卫生干预措施对封闭人群中 COVID-19 病例数的影响：对传染病爆发应对和流行病学的影响

• 批准号: 486062
• 负责人: Wilson Natalie J
• 金额: $ 1.27万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-12-01 至 2023-12-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=486062&lang=en
• 关键词: Covid-19; Infectious Disease Modelling; Infectious Disease Surveillance; Outbreak Mitigation; Public Health Policy; Wastewater-Based Epidemiology

Wastewater surveillance is a rapidly advancing infectious disease management strategy that allows public health organizations to monitor community spread of a disease. Consistent wastewater monitoring can allow for early outbreak detection and inform rapi

废水监测是一种快速发展的传染病管理战略，使公共卫生组织能够监测疾病的社区传播。一致的废水监测可以实现早期爆发检测，并为快速反应计划提供信息。