CEE Ph.D. Defense Announcement: Advancing Wastewater-Based Surveillance through Methods Optimization, Target Refinement and Spatiotemporal Insights
Ashley Green, Ph.D. Candidate
UC Irvine, 2025
Professor Sunny Jiang
Abstract: The COVID-19 pandemic highlighted the urgent need for tools to monitor viral prevalence and incidence. Wastewater-based surveillance (WBS) emerged as a valuable approach after SARS-CoV-2 was found to be stable and detectable in wastewater. This dissertation captures a period of rapid WBS development in Southern California, beginning with sampling optimization at centralized treatment plants in Los Angeles, followed by campuswide monitoring of COVID-19 and influenza at UCI, and concluding with assessments of viral prevalence and removal at wastewater reclamation plants. Overall, this work informs best practices for WBS implementation and contributes to the development of resilient, community-scale public health monitoring systems for pandemic preparedness.
Share
Upcoming Events
-
MSE 298 Seminar: Mechano-Electrochemical Phenomena at Ceramic Electrolyte Interfaces
-
MSE 298 Seminar: Innovation In Materials Science - An Industrial R&D Perspective
-
MSE 298 Seminar: Understanding the Impact of Grain Boundary Inclination on Grain Growth Using Modeling and Simulation and Experiments
-
EECS Seminar: Mixed Conductors for Bioelectronics
-
MSE 298 Seminar: Ionic Correlations in Polymer Nanostructures - From Block Copolymers to End-Charged Blends