The Rochester Virtual Science Cafe will be running this Tuesday, February 23, at 7pm. Needless to say, this month's subject is both timely, and something most of us don't spend a lot of time thinking about. Just to head off any questions, Dr. Tony Wong works on the theory and modeling side, not on the data collection, as far as I know.
Cheers, Josh
Title:
Evaluating the Sensitivity of SARS-CoV-2 Infection Rates on College Campuses to Wastewater Surveillance
Zoom link: https://rit.zoom.us/j/
Passcode: 732879
Abstract:
As college campuses reopen in Spring 2021, we are thrust into yet another large-scale experiment on the efficacy of various strategies to contain the SARS-CoV-2 virus. Traditional individual surveillance testing via nasal swabs and/or saliva are among the measures that colleges are pursuing to reduce the spread of the virus on campus. Additionally, some colleges are testing wastewater on their campuses for signs of infection, which can provide an early warning signal for campuses to locate COVID-positive individuals. We will discuss the implementation of a new model component for wastewater surveillance within an established epidemiological compartment model for the spread of COVID-19 on college campuses. We use a hypothetical residential university to evaluate the efficacy of wastewater surveillance for maintaining low infection rates. We find that wastewater sampling with a 1-day lag to initiate individual screening tests, plus completing the subsequent tests within a 4-day period can keep overall infections within 5% of the infection rates seen with weekly traditional individual surveillance testing. Our results also indicate that wastewater surveillance can be an effective way to dramatically reduce the number of false positive cases by identifying subpopulations for surveillance testing where infectious individuals are more likely to be found. Through a Monte Carlo risk analysis, we find that surveillance testing that relies solely on wastewater sampling can be fragile against scenarios with high viral reproductive numbers and high rates of infection of campus community members by outside sources. These results point to the practical importance of additional surveillance measures to limit the spread of the virus on campus and the necessity of a proactive response to the initial signs of outbreak.
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For more, you can head to his website on Github: https://tonyewong.
