Learning from COVID-19 Data on Transmission, Health Outcomes, Interventions and Vaccination
Offered By: Joint Mathematics Meetings via YouTube
Course Description
Overview
Explore a comprehensive lecture on COVID-19 data analysis presented at the 2022 Joint Mathematics Meetings. Delve into the ASA Committee of Presidents of Statistical Societies Lecture delivered by Xihong Lin from Harvard University and the Broad Institute of MIT and Harvard. Gain insights into the transmission patterns, health outcomes, intervention strategies, and vaccination efforts related to the COVID-19 pandemic. Examine statistical approaches used to analyze and interpret complex epidemiological data, and understand how these findings have informed public health policies and decision-making processes during the global health crisis.
Syllabus
Xilong Lin-Learning from COVID-19 Data on Transmission, Health Outcomes, Interventions & Vaccination
Taught by
Joint Mathematics Meetings
Related Courses
Health Policy and the Affordable Care ActUniversity of Pennsylvania via Coursera Vaccines
University of Pennsylvania via Coursera Principles of Obesity Economics
Johns Hopkins University via Coursera An Introduction to the U.S. Food System: Perspectives from Public Health
Johns Hopkins University via Coursera Community Change in Public Health
Johns Hopkins University via Coursera