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2020 Hopkins Salon II: Big data AI technology responds to the crisis of new coronavirus
March 7, 2020 @ 12:00 am
Dong Ensheng / Developer of the Epidemic Map of the United States Center for Systems Science and Engineering (CSSE) of Johns Hopkins University.
Date And Time Sat, March 7, 2020 7:45 PM – 9:30 PM EST
Online activities, non-members can also participate
Since the outbreak of endemic “unexplained pneumonia” discovered in Wuhan, Hubei Province, China in late December 2019, it has spread to every province and more than 40 countries in China. As of February 28, more than 100 cases have been diagnosed 85,000. Outside China (such as South Korea, Italy and Iran) has become more serious. Even CDC officials have warned of a coronavirus outbreak in the United States. In response to this ongoing public health emergency, the Johns Hopkins University System Science and Engineering Center (CSSE) has developed an online interactive dashboard to visualize and track reported conditions. This tool is the first epidemiological monitoring tool for COVID-19 epidemiology and has become the most popular visualization tool in the world. It can be used to track global and local COVID-19. The results of this project were published in the recent Lancet on.
As of the end of February, users from almost every country in the world have used more than 5 million times. It has also been reported in the “New York Times”, CNN, “Washington Post”, “Fox News” and other mainstream media in the United States and the world. In this issue of the Hopkins salon, focusing on the application of big data and artificial intelligence technology and public health, the development team of the epidemic map is specially invited to share the key technologies needed to build this tool and some interesting background stories. For example, how it was first created, how to maintain data, how to develop, who are our users, and their usage. We are also fortunate to invite the head of the “New Coronavirus Pneumonia Outbreak Distribution” project leader of the China National Center for Disease Control and the first-line clinicians in the United States and AI medical experts to participate in the discussion to discuss the application of new technologies in the most advanced disease prevention and clinical control.
-Speakers- Dong Ensheng / Developer of the Epidemic Map of the United States Center for Systems Science and Engineering (CSSE) of Johns Hopkins University. PhD student of Johns Hopkins University, Department of Civil and Systems Engineering / Systems Science and Engineering Center (CSSE) / JHU Bloomberg Infectious Disease Dynamics (IDD) group of the School of Public Health. Research areas involve network science, mobility modeling, machine learning, spatial analysis, data visualization, and infectious diseases. His recent work includes predicting measles risk in the United States and Pacific Island Countries and Regions (PICT), visualizing and modeling new coronavirus (COVID-19), and predicting dengue outbreaks in Sri Lanka.
-group discussion- Dr. Limin Yu / Clinician of Pathology, Director of Pathology Informatics, former Chairman of the Information Committee of the American Academy of Dermatology and Pathology, an expert in medical big data and artificial intelligence. American certified pathologist and dermatologist. Currently, William Bauman Medical
System, Michigan, USA is a skin pathologist and director of pathology informatics. He was the chairman of the Information Committee of the American Academy of Dermatology and Pathology. He serves as the director and member committee of the North American Chinese Dermatology Association, the chairman of the North American Chinese Pathologist Association’s Dermatology, Education Committee, and the pathology branch. In addition to clinical medicine, he also has a master’s degree in computer and more than ten years of software development experience. Engaged in a number of molecular biology and bioinformatics research and development, and won a number of scientific research and innovation funds, including the National Best Bioinformatics Award. The current research direction is medical big data and artificial intelligence. It is one of the few American clinicians with deep computer background. Dong Xiaofei, Manager of Platform Implementation Department, Beijing Branch of Yizhirui (China) Information Technology Co., Ltd. Responsible for the consultation and implementation of geographic information platform projects in Beijing Branch. After the outbreak of the new coronavirus pneumonia, it is responsible for the consultation and implementation of the application project of the “New Coronavirus Pneumonia Epidemic Distribution” application by the Chinese Center for Disease Control and Prevention (CDC).