MIT HST.936: Global health informatics to improve quality of care
First class is Friday February 18 @ 9am on Zoom
Registration link here: https://mit.zoom.us/meeting/register/tJEtde6trTMsEtQ8QySuCmcwnQ9aKvMAwLP8
The most daunting global health issues right now are the result of interconnected crises: the COVID19 pandemic, global warming, the economic fallouts of the pandemic, political extremism and polarization, and systemic racism. However, we also live in a time of powerful advances in information technology and artificial intelligence that can be applied to these formidable health problems. In this course, we highlight the importance of a multidisciplinary approach to knowledge generation and validation.
This year, the focus will be on analysis of county-level excess mortality data that we have been collecting from the various state health departments. The data was aggregated from death certificates in each county from 2015 - 2020. We have been linking this data with mobility data, population census, outbreak dashboards, hospital and ICU census, Media Cloud news articles, etc. to better understand the drivers of excess mortality during the pandemic.
For more information, contact course faculty at: hst936faculty@mit.edu
Please fill out this form if you are interested in enrolling in the course
Information
Requirements & Grading
- Class Attendance, Participation, Professionalism & Teamwork (25%)
- edX Course Completion (Exercises & quizzes) (25%)
- Course Project Deliverables (Midterm Report & Final Presentation and GitHub Repo) (50%)
Timeline & Deliverables
- Project Selections Due (February 27)
- Project Teams Announced (March 3)
- Draft Proposal (March 12)
- Final Proposal (March 26)
- Final Presentation (May 14)
- Final Report (May 21)
- Final Project Repository (May 21)