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+
1 maintainer
Metadata
1 maintainer
Release files for vud4 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| vud4-0.0.4.tar.gz | 2.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vud4-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.7 kB
Release files / vud4-0.0.4.tar.gz
| Download URL | vud4-0.0.4.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.12
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Release files / vud4-0.0.4-py3-none-any.whl
| Download URL | vud4-0.0.4-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.12
|
Security for vud4 0.0.4
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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