vuv
Takefuji, Y. (2023). vuv: vaccine effects on mortality between fully vaccinated and unvaccinated [Source Code]. https://doi.org/10.24433/CO.1329228.v1
Takefuji Y. (2023). Effectiveness of vaccination with symptoms by age groups. International immunopharmacology, 116, 109823. Advance online publication. https://doi.org/10.1016/j.intimp.2023.109823
vuv is a PyPI application to evaluate the vaccine effects on mortality by age group between fully vaccinated and unvaccinated. CDC dataset is automatically downloaded from the following site:
https://data.cdc.gov/api/views/3rge-nu2a/rows.csv
Five age groups include 18-29,30-49,50-64,65-79, and 80+. Choose one of five age groups and enter the age group with vuv command.
To install vuv,
$ pip install vuv
To run vuv, enter one of five age groups.
$ vuv 80+
This command generates 80+.png image file.
Metadata
Release files for vuv 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| vuv-0.0.4.tar.gz | 2.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vuv-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 kB
Release files / vuv-0.0.4.tar.gz
| Download URL | vuv-0.0.4.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.0.0 CPython/3.8.12
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Release files / vuv-0.0.4-py3-none-any.whl
| Download URL | vuv-0.0.4-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.8.12
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Security for vuv 0.0.4
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