A Data-Driven Understanding of Covid-19 with NetworkX is a seminar dedicated to the use of Python and NetworkX in order to undrstand the basics of epidemiology and the epidemic model in a practical and intuitive way.
A Data-Driven Understanding of Covid-19 with NetworkX covers topics such as:
- The fundamental concepts and models of epidemic modeling and their use in conjunction with public datasets to better understand the way in which CoVID-19 is spreading
- Concepts such as R0, herd immunity, and vaccine efficacy
- The impact of seasonality
- Visualizing cases and deaths
- The consequences of our assumptions and interventions through simple simulations and models
- Different competing strains
- Herd Immunity
- SIR model structure
- Vaccine efficacy
- Modeling vaccination campaigns
A Data-Driven Understanding of Covid-19 with NetworkX brings together attendees with job titles such as:
- SWE
- Data Scientist
- Data Analyst
- Data Engineer
