Optimizing application of wastewater-based epidemiology for SARS-CoV-2 at various scales of operation
Abstract/Contents
- Abstract
- The COVID-19 pandemic has accelerated the development of wastewater-based epidemiology focused on SARS-CoV-2 and has proven to be a valuable supplement to clinical data. Many researchers have successfully detected and quantified SARS-CoV-2 in a variety of wastewater samples, leading now to the establishment of formalized wastewater monitoring programs not only for SARS-CoV-2 but for other pathogens relevant to human health as well. At present, however, there is no clear consensus on the best method for processing of wastewater samples or the many ways that detection and quantification can be optimized. Through a combination of data analysis, simulations, and a pilot study, this dissertation investigates different ways to optimize domestic wastewater surveillance at various scales. Chapter 2 analyzes data from multiple wastewater monitoring programs for comparison of SARS-CoV-2 RNA concentration from solid and liquid samples obtained from publicly owned treatment works (POTWs). Chapter 3 investigates how digital droplet PCR sensitivity to SARS-CoV-2 affects wastewater surveillance detection limits for COVID-19. Finally, Chapter 4 is a pilot study conducted at two K-12 schools in California to verify the usefulness of wastewater surveillance for smaller communities like schools where individuals only spend a portion of their time. Taken together, the contents of this dissertation will help public health officials in their development of wastewater-based surveillance methods to aid with assessment of community health for a comprehensive surveillance system tailored to local needs.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kim, Sooyeol |
|---|---|
| Degree supervisor | Criddle, Craig |
| Thesis advisor | Criddle, Craig |
| Thesis advisor | Boehm, Alexandria |
| Thesis advisor | Luby, Stephen |
| Degree committee member | Boehm, Alexandria |
| Degree committee member | Luby, Stephen |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Sooyeol Kim. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/jj860qx5753 |
Access conditions
- Copyright
- © 2022 by Sooyeol Kim
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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