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Learning from COVID-19 Data in Wuhan, USA and the World
【2020.7.27 10:00am, 腾讯会议】

【打印】【关闭】

 2020-7-21 

  Colloquia & Seminars 

  Speaker

Prof.Xihong Lin, Department of Biostatistics and Department of Statistics,
Harvard University 

  Title

Learning from COVID-19 Data in Wuhan, USA and the World

  Time

7月27日上午10:00

  Venue

腾讯会议室 ID:336 345 559

腾讯直播间: https://meeting.tencent.com/l/ZcMKFYdw8w5k

  Abstract

COVID-19 is an emerging respiratory infectious disease that has become a pandemic. In this talk, I will first provide a historical overview of the epidemic in Wuhan. I will then provide the analysis results of 32,000 lab-confirmed COVID-19 cases in Wuhan to estimate the transmission rates, and evaluate the effects of different public health interventions on controlling the COVID-19 outbreak, such as social distancing, isolation and quarantine, as well as summarizing the epidemiological characteristics of the cases. The results show that multi-faceted intervention measures successfully controlled the outbreak in Wuhan. I will next present the estimated transmission rates in USA and other countries and intervention effects using social distancing, test-trace-isolate strategies. I will present the analysis results of >500,000 participants of the HowWeFeel project on symptoms and health conditions in US, and discuss the risk factors of the epidemic. I will discuss estimation of the proportion of undetected caes, including asymptomatic, pre-symptomatic cases and mildly symptomatic cases, and the chances of resurgence in different scenarios. I will provide several takeaways and discuss priorities.  

  Affiliation

Xihong Lin is Professor and Former Chair of Biostatistics, Coordinating Director of the Program in Quantitative Genomics of Harvard TH Chan School of Public Health, and Professor of Statistics at Harvard University, and Associate Member of the Broad Institute of MIT and Harvard. Dr. Lin’s research interests lie in development and application of scalable statistical and computational methods for analysis of massive data from genome, exposome and phenome, such as large scale Whole Genome Sequencing studies, integrative analysis of different types of data, biobanks, and complex epidemiological and observational studies. She is an elected member of the US National Academy of Medicine.  Dr. Lin received the 2002 Mortimer Spiegelman Award from the American Public Health Association, the 2006 Presidents’ Award and the 2017 FN David Award from the Committee of Presidents of Statistical Societies (COPSS). She is the PI of the Outstanding Investigator Award (R35) from the National Cancer Institute, and the contact PI of the Harvard Analysis Center of the Genome Sequencing Program of the National Human Genome Research Institute. She has been active in COVID-19 research.

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