# scorev
[](https://codeocean.com/capsule/1f1cb392-a56c-41da-a18d-ca8853a398e7/tree)
Cite:
takefuji (2022) scorev for scoring COVID-19 policies with vaccine rates [Source Code]. https://doi.org/10.24433/CO.4373206.v1
scorev is a PyPI tool for scoring COVID-19 policies in a filename 'oecd.csv' with vaccine rates
such as at least 1 dose, fully vaccinated, and booster given.
scorev subsumes PyPI scorecovid application.
The score is calculated by dividing the number of deaths due to COVID-19 by the population in millions.
Generated result.csv has the following determinants:
deaths, population, score, 1dose (rate: at least 1 dose), full (rate: fully vaccinated), booster (rate: booster given).
Vaccine rates such as 1dose, full, and booster are unreliable
since some countries do not often update.
The current program checks the last 8 days in the dataset.
Data is scraped from the following site:
https://covid.ourworldindata.org/data/owid-covid-data.csv
# How to install scorev
$ pip install scorev
# How to run scorev
$ scorerev
<img src='https://github.com/y-takefuji/scorev/raw/main/result.png' width=800 height=1300 >
# How to modify country names
Modify oecd.csv file for adding and deleting countries.
Raw data
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