The project is based on the statistics of epidemiology related to the COVID-19 pandemic.

We specifically focus on the effects of socioeconomic factors and vaccination rates on the number of COVID-19 cases in Maryland at the county level. To analyze the COVID-19 case numbers, we implement two main models: ordinary least squares and weighted least squares models. Based on those models, we aim to provide some interpretations about the effects of such independent variables on the dependent variable: the number of cases.

The code that we have implemented to perform the analyses are available at the following link: https://colab.research.google.com/drive/1u711tfJPQPYD7jB3YOMB6aLtW46z9lCa#scrollTo=Pj-GGYYzMllx

The slides that we will be presenting are available at the following link: https://docs.google.com/presentation/d/1FeFIHftkqQYdM8EWroxcKURnKOv-sosJ8xoF3a6BLhw/edit?usp=sharing

The paper that includes are analysis are available on the GitHub folder for the project.