comparing effects on mortality between bivalent booster, fully vaccinated and unvaccinated
Project description
vud4
Takefuji Y. Vaccine effects on COVID-19 infection with bivalent boosting by age group. Drug Resist Updat. 2023 Dec 27;73:101039. doi: 10.1016/j.drup.2023.101039. Epub ahead of print. PMID: 38169273.
vud4.py is to calculate the time-series effect of vaccination on mortality in six age groups (18-29 years, 30-49 years, 50-64 years, 65-79 years, 80+ years, and all ages) for three vaccination types: bivalent booster, fully vaccinated, and unvaccinated. The CDC dataset for the period October 1, 2021 through January 23, 2023 was used for this study: https://data.cdc.gov/api/views/54ys-qyzm/rows.csv
vud4 is a PyPI application. PyPI allows vud4 to run on Windows, MacOS and Linux Operating Systems as long as Python is installed on the system.
How to install vud4
$ pip install vud4
How to run vud4
$ vud4
enter one of age groups: vud4 80+
18-29,30-49,50-64,65-79,80+,all_ages
$ vud4 80+
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