maskcovid is a PyPI tool that predicts the number of people infected by day and up to one month from the date Japan began its liberal mask-wearing policy in the current Covid-19 epidemic.
Project description
maskcovid
maskcovid is a PyPI tool that predicts the number of people infected by day and up to one month from the date Japan began its liberal mask-wearing policy in the current Covid-19 epidemic.
The goal of maskcovid is to determine if policies such as the liberalization of mask wearing are correct based on the increase or decrease in the number of infected people.
Japan's policy of liberalizing the wearing of masks began on March 13, 2023.
It is difficult to judge now (as of April 3, 2023) because only a little time has passed since the policy was initiated, but an increase in the number of infected people in the future could show that the policy was wrong.
maskcovid scrapes the latest data from the following site over the Internet : https://covid19.mhlw.go.jp/public/opendata/newly_confirmed_cases_daily.csv
How to install maskcovid
$ pip install maskcovid
How to run maskcovid
$ maskcovid
Written by Izuru Inose
-At the Takefuji Lab-
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