||COVID-19 Scientific Interest Group
Dr. Sabeti is a professor at Harvard University and at Harvard T.H. Chan School of Public Health, as well as a Howard Hughes Medical Institute Investigator and member of the Broad Institute of MIT and Harvard. Her lab's research areas include: developing analytical methods to detect and investigate evolution in the genomes of humans and other species; examining host and viral genetic factors driving disease susceptibility to the devastating and deadly diseases; investigating the genomes of microbes; and determining the microbial cause of undiagnosed acute febrile illness.
Just as COVID-19 crisis has emphasized the critical importance of rapidly detecting and containing pathogens, we are on the cusp of a new era in infectious disease surveillance and response: ultra-sensitive genomic technologies have the unprecedented ability to detect virtually any pathogen, including those circulating under the radar, and can be leveraged to create simple, rapid, and highly affordable point-of-care diagnostics to be deployed anywhere. In parallel, powerful, cloud-based information systems allow us to continuously collect, integrate and, most importantly, broadly share viral surveillance data with those who need it most to guide critical public health decisions and actions. Dr. Sabeti will discuss how computational biology, medical genetics and evolutionary genetics can contribute to preventing and managing serious pandemics, including the ongoing COVID-19 pandemic.
For more information go to https://oir.nih.gov/sigs/covid-19-scientific-interest-group