COVID-19 Death Rate Analysis in the United States
COVID 19 Death Rate Analysis in the United States
Introduction
The COVID-19 pandemic has led to a dramatic loss of human life worldwide and presents an unprecedented challenge to public health. Socioeconomic and health disparities may play an important role in the health outcomes of COVID-19.
Objectives
We aim to analyze the associations between COVID-19 death rate and the County-level societal factors in the United States. The societal factors of interest include:
- Educational levels
- Heart disease mortality rates
- Gender
- Population
Methods
This project involves data analysis on the total number of County-level COVID-19 deaths reported in the USA between January 2020 and June 2023. We use the following datasets:
COVID-19 death data from Jan 2020 – Jun 2023.
USA 2022 population census data containing the societal factors.
Tech stacks
- Python
- Pandas
- Matplotlib
Contributing
We welcome contributions to this project! Please fork the repository and create a pull request with your changes. Ensure your code follows the project's coding standards and includes tests for any new functionality.
License
This project is licensed under the MIT License.
References
HealthData.gov. (2023, September 27). "Provisional COVID-19 Deaths by Place of Death and Age." Retrieved from https://healthdata.gov/dataset/Provisional-COVID-19-Deaths-by-Place-of-Death-and-/e8py-xwxc/about_data. Date accessed: 2024, January 14.
United States Census (2022). "Quick Facts United States" Retrieved from https://www.census.gov/quickfacts/. Date accessed: 2024, January 14.
Description
This project aims to analyze the associations between COVID-19 death rate and the County-level societal factors in the United States.