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Title: Covid-19 Death Rate Dataset

Type Dataset Chang Wei Tan, Christoph Bergmeir, Francois Petitjean, Geoffrey I Webb (2020): Covid-19 Death Rate Dataset. Zenodo. Dataset. https://zenodo.org/record/3902690

Authors: Chang Wei Tan (Monash University) ; Christoph Bergmeir (Monash University) ; Francois Petitjean (Monash University) ; Geoffrey I Webb (Monash Un) ;

Links

Summary

This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/

The goal of this dataset is to predict COVID-19's death rate on 1st April 2020 for each country using daily confirmed cases for the last three months. This dataset contains 201 time series, where each time series is the daily confirmed cases for a country. The data was obtained from WHO's COVID-19 database.

  Please refer to https://covid19.who.int/ for more details

More information

  • DOI: 10.5281/zenodo.3902690

Subjects

  • time series, regression

Dates

  • Publication date: 2020
  • Issued: June 21, 2020

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.3902689
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/ts_regression
IsPartOfhttps://zenodo.org/communities/zenodo