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Course Information

Social Networks in the Age of COVID-19: from Personal Networks to Big Data

Course ID: MPBH 495-009 / HSM 355-006
School:Parkinson School of Health Sciences and Public Health
Program: Public Health, Health Care Administration
Credit Hours: 1

Course Description

Social network analysis for epidemiology (sometimes called “Network Epidemiology”) is the study of how peoples’ connections to one another determine their health. Students will be introduced to concepts and case studies from social network analysis, including theoretical foundations in social science, to understand social epidemics like opioid abuse and gun violence and the unfolding COVID-19 pandemic. Discussion will focus on application of social network analysis for understanding the spread and prevention of the COVID-19 pandemic, with particular focus on evaluating the effectiveness of social distancing policies. Relative strengths and limitations of data sources will be compared, including personal data networks, geospatial data from mobile phones, Twitter data, public health surveillance data, and mashups of individual clinical data with Census and other large datasets.

Objectives
  • Formulate a hypothesis based on social and network theory for understanding the role of social networks and social distancing policies for disease spread and control
  • Compare and contrast sources of data for understanding the role of social networks in preventing and controlling threats to public health ranging from addiction and gun violence to COVID-19
  • Critically evaluate emerging data on social distancing policies and implications for managing the COVID-19 pandemic

*This course is part of a series of special topic courses on Strengthening Population Health Resilience in the Time of COVID-19Learn more



Course Offering

Session Day Time Instructor
C Wed 5:30 - 7:30 PM Shoham

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