semvec/pypi-packages huggingface dataset:
scorev 0.0.5
A package for scoring policies of covid-19 with vaccine rates
Requires Python: >=3.8

# scorev
[![Open in Code Ocean](https://codeocean.com/codeocean-assets/badge/open-in-code-ocean.svg)](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.