Robust and Actionable Wastewater-Based Epidemiology for Recurrent Influenza. This project aims to develop robust and actionable wastewater-based epidemiology for recurrent influenza outbreaks. Buildin

Description

Robust and Actionable Wastewater-Based Epidemiology for Recurrent Influenza. This project aims to develop robust and actionable wastewater-based epidemiology for recurrent influenza outbreaks. Building on insights gained from COVID-19 wastewater surveillance, it seeks to enhance the wastewater analysis by systematic quantification of viral transport, decay and partitioning in sewers. These advancements will improve accuracy of detected viral loads. The project will leverage machine learning and compartment epidemiology models to generate actionable transmission dynamics for controlling transmission through medical treatment, vaccination, and nonpharmaceutical interventions. This project would significantly contribute to the global fight against influenza by developing new knowledge and effective epidemiology tools.. Scheme: Discovery Projects. Field: 4202 - Epidemiology. Lead: Prof Guangming Jiang