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World's first open access dashboard reveals neighborhood-level trends of COVID-19 from wastewater

December 8, 2022

Study shows health hazard detection in sewers can provide early warning for pandemics, other public health issues

Due to public health issues like the opioid crisis and the global SARS-CoV-2 pandemic, innovative cities have turned to new technologies to better understand the risks to their communities.

One of these technologies is wastewater-based epidemiology, an emerging field that can track the types of chemicals and viruses in sewers as a public data tool for municipality-wide public health and safety policies and interventions.

A unique partnership between the city of Tempe, Arizona, and Arizona State University first employed this technology to track opioid use in May 2018, and display results on the world’s first open access dashboard to provide the public, fire departments and first responders with actionable data to inform implementation of interventions.

With the logistics and infrastructure for population health monitoring in wastewater already in place, the city of Tempe and ASU were able to rapidly pivot to detecting SARS-CoV-2 in wastewater in April 2020 during the onset of the pandemic.

In Tempe, wastewater data is used in conjunction with other data such as county and state data on vaccines and test results, accessibility to health services and more.

“Wastewater science is a valuable tool for our city. The data helps us in determining where to set up clinics, intensify community outreach and adjust first responder operations,” said Wydale Holmes, interim director of the Tempe Strategic Management and Innovation Office. “Our partnering with ASU and the trust from our community made this innovation possible."

Now, the complete data results are in for the first largest waves of the pandemic (from April 2020 through March of 2021). These data showcase the power of wastewater diagnostics as an early warning signal of health threats such as SARS-CoV-2 to a community. 

Wastewater-based epidemiology was shown to reliably predict the occurrence of SARS-CoV-2 levels in city ZIP codes and sub-ZIP-code communities from six to 11 days ahead of clinical testing results in some regions, while also providing an advanced warning to area hospitals and health care centers of upcoming surges up to 16 days in advance.

“Data demonstrate that the monitoring of wastewater provides an early-warning capacity of over two weeks, thereby aiding in the confident prediction of future clinical caseloads, morbidity and mortality in our city and campus communities,” ASU Professor Rolf Halden said. “The early-warning capacity of wastewater monitoring decreases once random clinical testing of individuals has been put in place, but the screening of individuals with conventional medical tools comes at a 60-fold higher price point than wastewater-based epidemiology, as our team demonstrated earlier this year.

"Thus, this latest study looking at all data collected over the course of the pandemic again highlights the power of wastewater monitoring as a nimble, practical and very economic health monitoring tool whose benefits extend to vulnerable populations of lesser economic means.”

Samples were collected three days a week. A total of 1,556 wastewater samples were collected across the 11 sample sites in the greater Tempe area. Most locations showed two waves in viral levels peaking in June 2020 and December 2020 to January 2021. 

Wastewater-based epidemiology revealed a maximum concentration of 37.6 million gene copies of SARS-CoV-2 per liter of wastewater. This measurement obtained during peak pandemic conditions occurred at a Tempe hospital location, which had an active COVID-19 ward at the time of collection on Jan 11, 2021.

In addition, the amounts of SARS-CoV-2 detected in sewers also correlated with the number of positive cases determined by clinical testing. Wastewater-based epidemiology has the potential to supplement and enrich clinical data and demographic information not only from a city, but down to the ZIP code and neighborhood level.

Lastly, during the initial lockdown from May to early June 2020, the wastewater-informed data dashboard revealed remarkably elevated virus concentrations in the town of Guadalupe beginning the week of May 11, 2020, to the week of June 8, 2020. This later decreased after prompt interventions such as face-covering mandates and community education in town halls beginning in June 2020.

Having successfully deployed wastewater-based epidemiology for the opioid crisis and the pandemic, the city of Tempe and ASU are uniquely poised for continued use of wastewater-based epidemiology to spot and identify the next public health threat early on before it has a chance to overwhelm health care capacity.

“In collaboration with the city of Tempe, our team was able to showcase WBEwastewater-based epidemiology as a platform technology that can rapidly be adapted from monitoring chemical indicators of public health concern, such as opioid overuse, and to tracking infectious disease threats, such as SARS-CoV-2,” said Erin Driver, who along with Devin Bowes, lead the data collection and analysis efforts for the municipal-academic collaborating team.

“Among the greatest benefits of WBE is the early detection of disease outbreaks in situations where a substantial health care response has not yet been mounted and in situations when clinical testing sites and equipment are scarce, vaccination campaigns are delayed, testing fatigue has set in or widespread use of at-home rapid tests obscures the true level of high infection in affected communities,” Halden summarized, adding that, “WBE also holds promise for tackling other public health challenges such as obesity, diabetes and cancer linked to environmental toxic exposures.”

The SARS-CoV-2 Wastewater Monitoring Dashboard and COVID-19 Community Health Site for the city of Tempe is available at

“There is so much more we can do with wastewater science. Tempe is known to be an innovative community and ASU is the most innovative university in the nation. Together, we are creating the blueprint for how communities around the world can benefit from this science,” Holmes said.

The study was published in the prestigious academic journal The Lancet Microbe.

Top photo: City of Tempe personnel perform a field sampling. Photo courtesy Devin Bowes

Joe Caspermeyer

Manager (natural sciences) , Media Relations & Strategic Communications


Pursuing an education in economics aligned with grad's passion for mathematics

Thomas Pozsonyi named Fall 2022 Economics Dean’s Medalist

December 8, 2022

Editor’s note: This story is part of a series of profiles of notable fall 2022 graduates.

Thomas Pozsonyi is the recipient of the Department of Economics Dean Medal for Fall 2022, which recognizes the top graduating student in the economics program at The College of Liberal Arts and Sciences. Portrait of Thomas Pozsonyi. Thomas Pozsonyi, the Department of Economics Dean's Medalist. Photo courtesy Meghan Finnerty/ASU Download Full Image

Pozsonyi grew up in Tempe, and attending Arizona State University was always on his mind. Even in high school, he thought like an economist. He understood that he could get a high-quality education at an affordable cost. Furthermore, pursuing an education in economics aligned with his passion for mathematics.

The most important idea Pozsonyi learned as an economics student is how to examine any situation or decision as a series of options that have benefits and costs — especially opportunity costs. “Regularly, actively thinking about this idea has helped me become more aware and consistent in how I approach diverse situations,” he said.

In his studies, Pozsonyi has found that economics principles apply to real-world problems. “There are other majors that can accomplish this to some degree, but one can do this with economics to a great extent,” he said. “It’s been great for considering and answering the ‘why’ question in any given situation.”

Pozsonyi offered the following advice to current and future economics students: “Learn algebra and calculus well! As a tutor, I’ve seen that a lot of students start to do much better in their economics classes as their math skills improve. If you can sharpen those before you get into intermediate microeconomics and macroeconomics, you will be well prepared.”

When asked about impactful individuals that helped him get to the point, Pozsonyi first thanked his family and close friends for their support. There are also many faculty at ASU that he’s grateful for.

“I've had a lot of great professors at ASU who have helped push me farther in my studies or challenged me. Of all the professors I've had, I would like to specifically thank Dr. Edward Schlee, Dr. Fernando Leiva Bertran, Dr. Rajnish Mehra and Dr. Saule Moldabekova Robb.”

Pozsonyi is graduating with three degrees from ASU: economics, mathematics (with an emphasis in statistics) and Russian. After graduation, he plans to join a consulting company and eventually attend graduate school, with a focus on economics, finance or statistics.