Metadata-Version: 2.1
Name: lostlifevalue
Version: 0.0.1
Summary: A package to find out the true extent of the damage caused by Covid-19 to the country.
Home-page: https://github.com/Kiuchi424/Lostlifevalue
Author: Kiuchi_424
Author-email: s1922059@stu.musashino-u.ac.jp
License: UNKNOWN
Project-URL: Lostlifevalue, https://github.com/Kiuchi424/Lostlifevalue
Description: # Lostlifevalue
        # 1 .Dataset
        Population: https://www.worldometers.info/world-population/population-by-country/ <br>
        VSL,GNI: https://law.vanderbilt.edu/phd/faculty/w-kip-viscusi/355_Income_Elasticities_and_Global_VSL.pdf <br>
        deaths: https://github.com/owid/covid-19-data/blob/master/public/data/jhu/total_deaths.csv <br>
        # 2. Package
        This package is designed to calculate the value of lives lost due to Covid-19 and to determine how much damage the country has suffered in terms of GNI ratio.<br>
        To calculate the value of a life, we use an index called VSL. This index stands for value of statistical life, and represents the value of a human life. Using this VSL data and the number of deaths due to Covid-19, we can calculate the value of lives lost due to Covid-19.<br>
        The following indicators are used in this package.<br>
        VSL ($/million)<br>
        GNI ($/thousand)<br>
        Population(/100000)<br>
        eloss_total(VSL * Population)<br>
        GNI_total(GNI * Population)<br>
        eDamage_per_GNI(eloss_total/GNI_total)<br>
        # 3. How to rum?
        You can use this package easily.<br>
        First, use this command to download the package.<br>
        $ pip install lostlifevalue<br>
        And then, all that remains is to run it.<br>
        $ lostlifevalue<br>
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
