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

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Speaker: Xihong Lin is Professor 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

Abstract: COVID-19 is an emerging respiratory infectious disease that has become a pandemic. It was first detected in early December 2019 in Wuhan, China. COVID-19 has quickly spread to over 210 countries and territories worldwide and infected more than 7.4 million individuals and caused 415,000 deaths globally. In this talk, Professor Lin will provide a historical overview of the epidemic in Wuhan, 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. She will also present the estimated transmission rates in USA and other countries and intervention effects using social distancing, test-trace-isolate strategies. Including the analysis results of more than 500,000 participants of the HowWeFeel project on symptoms and health conditions in US, and discuss the risk factors of the epidemic. Strategies and challenges for different types of tests, such as PCR and antibody tests, contact tracing, and handling asymptomatic and pre-symptomatic cases will be discussed and the main priorities for the community.
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