Fluid mechanics-based transport modeling in the human respiratory tract and research data were used to determine which droplet sizes are most like to reach the dominant infection site and the number of virus particles needed to trigger infection.
To address PPE shortages during the pandemic, scientists at Berkeley Lab and UC Berkeley are developing a rechargeable, reusable, anti-COVID N95 mask and a 3D-printable silicon-cast mask mold.
Scientists have completed an important and timely study of cloth masks. The study examined the filtration efficiency of fabrics and focused on aerosol particles in a range of sizes relevant to viral transmission through respiratory exposures. The best-performing masks used hybrid designs that include high thread-count cotton and electrostatic layers such as silk or polyester chiffon.
The Society for Risk Analysis (SRA), the world’s leading authority on risk sciences and its applications, is hosting a webinar on Thursday, June 11 at 11 a.m. ET to discuss the latest research on aerosol transmission of COVID-19.