scorecovid for scoring individual country COVID-19 policies in the world

There are two types of policy analysis tools: snapshot tool and time-series tool. scorecovid is a snapshot tool to score individual COVID-19 policies in the world and sort a list of scores. The population mortality rate is used for evaluating the outcomes of COVID-19 country policies. The lower the score, the less the COVID-19 deaths. The lower the score, the better the policy. The scorecovid tool is intended for poorly scored countries to learn good strategies from countries with excellent scores where scorecovid attracted 15192 users worldwide.


A B S T R A C T
There are two types of policy analysis tools: snapshot tool and time-series tool. scorecovid is a snapshot tool to score individual COVID-19 policies in the world and sort a list of scores. The population mortality rate is used for evaluating the outcomes of COVID-19 country policies. The lower the score, the less the COVID-19 deaths. The lower the score, the better the policy. The scorecovid tool is intended for poorly scored countries to learn good strategies from countries with excellent scores where scorecovid attracted 15192 users worldwide.

Motivation and significance
There is no open-source policy outcome analysis tool against the COVID-19 pandemic. For this purpose, scorecovid was created.
• The population mortality rate is used for evaluating country scores. The latest data is scraped over the Internet. Countries file indicates a list of countries. You are allowed to add or delete countries to be evaluated. • scorecovid is a snapshot tool intended for policymakers to learn good strategies from countries with excellent scores. The list of sorted scores plays a key role in discovering excellent countries. • The scorecovid tool is a PyPI application so that it can be installed by the pip command. PyPI packaging allows scorecovid to run on Windows, MacOS, and Linux operating systems as long as Python is installed on the system. • The score calculation in scorecovid is based on the daily cumulative population mortality of COVID types of policy outcome analysis tools: a snapshot list of sorted scores and time-series scores. The scorecovid is a snapshot policy outcome analysis tool.

Limitations
• The snapshot analysis tools such as scorecovid cannot visualize and observe the progress and transition of scores while time-series policy outcome analysis tools such as hiscovid allow us to visualize and observe the behavior of the transition and to identify when policymakers made mistakes over time. The scorecovid is a The directory and software structure is as follows:

Software functionalities
The latest data on deaths due to COVID-19 is scraped over the Internet from: https://github.com/owid/covid-19-data/raw/master/public/ data/jhu/total_deaths.csv. Using pandas. DataFrame, scraped deaths and population are used for calculating scores. The result is stored in result.csv file. The filename countries can contain target countries which you can modify, delete or add countries.

Illustrative examples
To run scorecovid, install it and type the following command: $ pip install scorecovid $ scorecovid

Impact
Unfortunately, scorecovid does not show vaccination rates such as at least one dose, fully vaccinated, or booster given. However, the scorecovid tool discovered that the mandatory test-isolation policy successfully suppressed the COVID-19 pandemic. It is to test and identify infected individuals at an early stage and to isolate them from uninfected people during the quarantine time. scorecovid attracted 15192 users worldwide.
The proposed method is based on the single metric of the daily cumulative population mortality. The proposed software can be applied to other disease outbreak. As long as the dataset is ready to be used, the proposed scorecovid has the high transferability.

Conclusions
In order to mitigate the COVID-19 pandemic, it is wise to adopt the best policy in the world. scorecovid can reveal what is currently the best policy.