Subject to change
| Week | Date | Topic | Objective | Questions? |
|---|---|---|---|---|
| 1 | 2/19 | Intro to the course, data and project descriptions Mobility networks, typology of counties / data |
Understand the extent of geographical and temporal patterns of mobility during the covid-19 pandemic. Learn about useful visualization tools and network science metrics to appropriately represent mobility networks. | What are the different types of mobility data that exist? How are they collected? How do you work with these data sources and apply them to public health? |
| 2 | 2/26 | State Vital Statistics Kirk Bol, Branch Chief, Vital Statistics, Colorado Center for Health and Environmental Data Air Pollution and COVID19 + Causal Inference Methods Xiao Wu |
Learn about state-level health statistics, death record data collection processes and mortality data analysis. Use open access case and death data from the JHU dashboard, using a Python notebook. | What are the major data sources with respect to COVID19? What are the considerations for JHU vs death certificates? What does it look like to move from correlation to causation? How can we tie together disparate datasets such as air pollution and COVID19? |
| 3 | 3/5 | Job Occupation and Vital Statistics CDC National Institute for Occupational Safety and Health (NIOSH) COVID19 and Vulnerability Grace Charles & Sema Sgaier |
Learn about national-level occupational health data. Leverage the NIOSH interface to map raw job occupation and industry text to standardized categories. | How do you parse disparate text listed on death certificates into standardized categories? |
| 4 | 3/12 | Considerations for Using Mobility Data in Public Health Nishant Kishore Survey deployment for public health Outbreaks Near Me Ben Rader and Autumn Gertz |
How do you design a survey for public health? What considerations need to be made when conducting the survey? What does this process look like in practice? |
|
| 5 | 3/19 | Symptom Survey COVID-19 Beliefs, Behaviors & Norms Survey |
What are novel ways to conduct public health with technology? How can we leverage surveys run on facebook? | |
| 6 | 3/26 | Public health applied to under resourced settings Satchit Balsari Hodan Ali, Benadir Regional Administration, Mogadishu, Somalia |
How can under-resourced settings apply public health solutions? What are considerations that make this different from the literature? What does it look like to build a solution from the ground up? | |
| 7 | 4/2 | Neural Relational Autoregression for High-Resolution COVID-19 Forecasting Maximilian Nickel, FAIR Forecast Hub and Introduction to Forecasting Santiago Romero-Brufau, Saketh Sundar & Nicolas Della Penna |
What are general approaches to forecasting in public health? How have forecasting methods evolved particularly with respect to COVID19? | |
| 8 | 4/9 | Mid-Semester Student Presentations |
||
| 9 | 4/16 | Causal Mediation Analysis Sicheng Hao Miguel Ángel Armengol de la Hoz |
What does it mean to move from correlation to causation? How do you think about applying models traditionally developed in machine learning? | |
| 10 | 4/23 | How to Use Text Data Shagun Gupta Maia Majumder Emily Ndulue |
How can you leverage nontraditional data sources such as news and google search queries for public health? | |
| 11 | 4/30 | Algorithmic Bias and COVID19 Testing Emma Pierson, Microsoft Research |
How do you think about bias and fairness with respect to using data for public health? How can you make progress in taking these considerations into account? | |
| 12 | 5/7 | Agent based models to assess transmission in refugee camps UN |
How do you plan for potential scenarios when determining policy actions? | |
| 13 | 5/14 | Final Presentations | How do you communicate analyses to different stakeholders in public health? To Academics? Policymakers? Nonprofits? |