DOI: https://doi.org/10.24433/CO.1663204.v1
The paper was published: Takefuji, Y. Deathdaily: A Python Package Index for predicting the number of daily COVID-19 deaths. Netw Model Anal Health Inform Bioinforma 11, 14 (2022). https://doi.org/10.1007/s13721-022-00359-1
Verification for computational reproducibility & quality is doned by codeocean: https://codeocean.com/capsule/3aa3e186-03f3-43b4-85d1-fe86f43bedd9/tree
deathdaily is a Python program using new_deaths.csv for predicting daily deaths due to COVID-19 in the next seven days. The prediction is based on the Xthe degree polynomial curve-fitting.
According to PyPI Stats at https://pepy.tech/, deathdaily has been downloaded by 30105 times worldwide as of Feb.22, 2023, one of the most popular COVID-19 tools of its kind.
deathdaily takes three parameters: country, days, the xth degree of a polynomial. Days shows the number of days used for calculating the curve-fiting function with xth degree of a polynomial for curve-fitting function.
The maximum days range is available from Jan.22 2020 to the day you have downloaded in new_deaths.csv file.
Y-axis depicts the number of daily deaths in the country.
deathdaily needs a new_deaths.csv file for predicting the daily deaths of the next seven days.
The new_deaths.csv file is automatically downloaded by deathdaily from the following site:
https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/jhu/new_deaths.csv
$ pip install deathdaily
or
$ pip install deathdaily --force-reinstall --no-cache-dir --no-binary :all:
"country" shows which country you would like to predict the daily deaths of the next seven days.
"days" indicates how many days are used for Xth degree polynomial curve-fitting.
"degree" determines the degree of polynomial curve-fitting.
$ deathdaily Japan days degree
$ deathdaily Japan 200 11
country="Japan", days=200, degree=11
$ deathdaily 'United States' 200 11
$ deathdaily Israel 200 9
$ deathdaily 'United Kingdom' 100 11
