Prison Vaccination in a Pandemic: Geographic Disparities and Policy Insights

This repository contains materials for the study: "Prison Vaccination in a Pandemic: Geographic Disparities and Policy Insights" by Alexes Merritt and Shweta Bansal (2024). The work explores the geographic disparities in COVID-19 vaccination coverage within incarcerated populations in the United States, highlighting the impact of policy decisions and data gaps.

Contents

Notebooks

• covariate_data_cleaning.ipynb
  Prepares and cleans covariate data used for the analysis, including incarceration population metrics and policy variables.

• vaccination_data_cleaning.ipynb
  Processes raw vaccination data, calculates metrics (e.g., vaccination coverage and rates), and organizes data for further analysis.

• Regression_final.ipynb
  Conducts regression modeling to assess the impact of policies such as prioritization, decarceration, and incentivization on vaccination outcomes.

Data

• Raw Data:

• Processed Data:

  • Cleaned datasets generated by the covariate_data_cleaning.ipynb and vaccination_data_cleaning.ipynb notebooks

Outputs

• Cleaned datasets in CSV format
• Regression analysis results
• Visualizations of geographic disparities and policy impacts on vaccination rates

Citation

If you use the data or scripts from this repository, please cite as follows:

Merritt, A., & Bansal, S. (2024). Prison Vaccination in a Pandemic: Geographic Disparities and Policy Insights. Data repository. [Repository Link or DOI]

Contact

For questions or collaborations, please reach out to:

Shweta Bansal, Ph.D.
Georgetown University [email protected]