This project analyzes the impacct of affordable housing availability on COVID spread in Gwinnett County, GA. A transmission model is developed that estimates a Transmission Chancce and Exposure rate for each month in the pandemic. Demographic and LIHTC data are regressed against these parameters to determine relationships. A full analysis can be found in the included Word document.
All scripts are run in Jupyter Notebook using python 3.7.9. The full list of dependencies can be found in the requirements.txt file
All code used is contained in the notebook. Running all cells will collect and process all data.
Case data was obtained from a Kaggle project that provides access to the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. It was accessed on 2021-11-1.
Although the repository was accessed in October 2021, it was posted in October 2017.
A New York Times and Dynata Estimate based on survey data from July 2nd to 14th, 2020. The data is based on 250,000 online survey responses and contains estimates down to the county level of mask usage while in public. Specifically, each participant was asked: How often do you wear a mask in public when you expect to be within six feet of another person? This was accessed on 2021-11-01.
The US Census Bureau Data Table Tool with 2019 census data on household income levels. Accessed on 11-28-2021
The US Census Bureau Data Table Tool with 2019 census data on population. Accessed on 11-28-2021
The Office of Policy Development and Research in the Department of Housing offers this Low-Income Housing Tax Credit (LIHTC) dataset. No license is found, but “HUD hopes to enable researchers to learn more about the effects of the tax credit program.” Accessed on 11-24-2021