People’s social behavior, reflected in their mobility data, is providing scientists with a way to forecast the spread of COVID-19 nationwide at the county level. Researchers have developed the first data-driven deep learning model with the potential to predict an outbreak in COVID-19 cases two weeks in advance. Feeding the mobility data to epidemiological forecasting models helps to estimate COVID-19 growth as well as evaluating the effects of government policies such as mandating masks on the spread of COVID-19.
The 3D Dog Eye Anatomy Model for Self–learning, an innovation by the Faculty of Veterinary Science, Chulalongkorn University (CU VET) recently received the Gold Award at the International Innovation Week Africa (IWA) 2020 in Rabat, Morocco.
Within the next decade, the novel coronavirus responsible for COVID-19 could become little more than a nuisance, causing no more than common cold-like coughs and sniffles. That possible future is predicted by mathematical models that incorporate lessons learned from the current pandemic on how our body’s immunity changes over time. Scientists at the University of Utah carried out the research, now published in the journal Viruses.
A restaurant outbreak in China was widely reported as strong evidence of airflow-induced transmission of COVID-19, but it lacked a detailed investigation about exactly how transmission occurred. In Physics of Fluids, researchers at the University of Minnesota report using advanced simulation methods to capture the complex flows that occur when the cold airflow from air conditioners interacts with the hot plume from a dining table and the transport of virus-loading particles within such flows.
Scientists have long believed that ocean viruses always quickly kill algae, but Rutgers-led research shows they live in harmony with algae and viruses provide a “coup de grace” only when blooms of algae are already stressed and dying. The study, published in the journal Nature Communications, will likely change how scientists view viral infections of algae, also known as phytoplankton – especially the impact of viruses on ecosystem processes like algal bloom formation (and decline) and the cycling of carbon and other chemicals on Earth.
A Rutgers engineer has created a mathematical model that accurately estimates the death toll linked to the COVID-19 pandemic in the United States and could be used around the world. The model, detailed in a study published in the journal Mathematics, predicted the death toll would eventually reach about 68,120 in the United States as a result of the SARS-CoV-2 coronavirus that causes COVID-19. That’s based on data available on April 28, and there was high confidence (99 percent) the expected death toll would be between 66,055 and 70,304.
Scientists have created a mathematical model that can help explain why so many pregnancies and in vitro fertilization attempts fail. The Rutgers-led study, which may help to improve fertility, is published in the journal Proceedings of the National Academy of Sciences.
When researchers from UCLA and the Laureate Institute for Brain Research in Tulsa, Oklahoma, wanted to test an app they created to measure body image perception, they went to the body image experts — fashion models.