Statistical Society of Canada (SSC) Covid-19 Case Competition
This respository contains the work performed for the SSC 2021 Case Studies in Data Analysis Competition. Our team is working on Case Study #2: Modeling COVID-19 disease dynamics in Canada.
Exploring the impact of public health interventions (e.g. vaccines, stay at home orders) during the COVID-19 pandemic in British Columbia, Canada.
The team is comprised of Arjun Baghela, Travis Blimkie, and Hossameldin Mohammed.
- June 1: Abstract and group photo submission
- June 6: Poster submission (by 5pm EST)
- The case study
- R packages
- Modeling COVID-19 (in Python)
- BC CDC COVID-19 data page
- covidseir (github)
- Covid with Bayes
- BC vaccines starting point
- CanCovidData
- OpenCOVID
- BC Covid Reports
- SEIR modeling of the COVID-19 and its dynamics. He et al.
- A Simulation on Potential Secondary Spread of Novel Coronavirus in an Exported Country Using a Stochastic Epidemic SEIR Model. Iwata et al.
- Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models. Ganyani et al.
We need 1-3 research questions to focus our poster on. Some ideas include:
- What is the impact of lockdowns of varying length on the spread of COVID-19 in British Columbia?
- How does the mass administration of COVID-19 vaccines affect case numbers?
- How does the emergence of variants of COVID-19, with higher rates of transmission and infection, impact mortality in British Columbia?
- Submitted poster must be a PDF
- Max size is 3.5 feet wide, 4 feet tall