COVID-19 Content

Kadee Russ on Supply Chain Bottlenecks and Inflation

Soterios J Johnson — October 19, 2021 - 1:10am

UC Davis Economics Professor Kadee Russ discusses how supply chains got backed-up, and how these critical systems that produce and deliver products to consumers can be made more resilient.

Total-Body PET Imaging Takes a Look at Long COVID

Andy Fell — August 28, 2025 - 9:59am

Using total-body PET imaging to get a better understanding of long COVID disease is the goal of a new project at the University of California, Davis, in collaboration with UC San Francisco. The project is funded by a grant of $3.2 million over four years from the National Institute of Allergy and Infectious Diseases, part of the National Institutes of Health.

How Wildlife Navigated National Parks Before and During the COVID ‘Anthropause’

Katherine E Kerlin — July 30, 2025 - 5:10am

The presence of humans and human infrastructure in U.S. national parks has lasting effects on the behaviors of the large animals that call them home, according to a new study.

The Milestones of COVID-19: A Timeline

Jocelyn C Anderson — March 18, 2025 - 9:10am

Five years after the COVID-19 pandemic swept across the globe, its effects still pervade our lives. Millions of Americans still wear masks at times, carry hand sanitizer and work from home. We also have a heightened understanding of the role that health care providers, government and public institutions must play during a public health crisis.

Novel Dynamic Imaging Technology Captures the Body’s Immune Response to COVID-19

Andy Fell — October 19, 2023 - 1:18pm

A team of UC Davis scientists used dynamic total-body positron emission tomography (PET) to provide the first imaging of the human body’s immune response to COVID-19 infection in recovering patients. Their work, published in Science Advances, could lead to a better understanding of how the body’s immune system responds to viral infections and develops long-term protection against re-infection.

Using Machine Learning to Detect Coronavirus Threats

Andy Fell — July 25, 2023 - 3:17pm

An artificial intelligence model has successfully identified coronaviruses capable of infecting humans, out of the thousands of viruses that circulate in wild animals. The model, developed by a team of biologists, mathematicians and physicists at the University of California, Davis, could be used in surveillance for new pandemic threats. The work was published June 8 in Scientific Reports.

Bringing COVID-19 Data into Focus

Andy Fell — July 14, 2023 - 1:53pm

Using an approach based on computer vision technology, researchers can work back from COVID-19 mortality data to see how infection rates changed on the day a lockdown or similar measure was introduced. The approach could be generally useful in future epidemics and pandemics. The work is published July 14 in Science Advances.

Fewer Than 10% of Patients Screened for Food Insecurity During Pandemic

Amy M Quinton — March 30, 2023 - 9:00am

Only seven percent of primary care providers screened patients for food insecurity during the pandemic. A new UC Davis study finds that screening rates were even lower if the appointment was virtual.

What Does the End of California’s COVID-19 State of Emergency Mean for You?

Cody Kitaura — February 28, 2023 - 12:06pm

Today marks the end of California’s COVID-19 State of Emergency. The declaration gave Gov. Gavin Newsom broader powers to fight the spread of the coronavirus. Its end suggests the pandemic is entering a less serious phase.

DAVIS CAMPUS

Ending today (Feb. 28):

Babies Remember Faces Despite Face Masks, UC Davis Study Suggests

Karen Michele Nikos-Rose — February 01, 2023 - 10:30am

Babies learn from looking at human faces, leading many parents and childhood experts to worry about possible developmental harm from widespread face-masking during the pandemic.

A new study by researchers at the University of California, Davis, allays those concerns, finding that 6- to 9-month-old babies can form memories of masked faces and recognize those faces when unmasked.