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Grand Award

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Arizona Hydrological Society
HS-BH18

Wastewater-Based Epidemiological Tracking of SARS-CoV-2: Determining Unreported Cases and Clinical Data Lag Time

Biomedical and Health Sciences
Quinn Nemeth

Grade:
12
Teacher:
Patricia Garcia

Evaluates the efficacy of wastewater-based epidemiology as a tracking and early warning system for infectious disease; attempts to find unreported SARS-CoV-2 cases in a local municipality and determine lag time between WWBE data and clinical data.


Project presentation

View Project Presentation file

Research paper

View Research Paper file

One thought on “Wastewater-Based Epidemiological Tracking of SARS-CoV-2: Determining Unreported Cases and Clinical Data Lag Time

  1. This is a really relevant and important topic and congrats on your hard work on this project. I enjoyed reading through your research paper and looking over your slides. Good luck on the continuation of your research!

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