Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic
Published: 23 April 2020| Version 6 | DOI: 10.17632/tggrsbz3bb.6
Contributors:
, , , , , Description
There is a multitude of dimensions that must be taken into consideration to analyze the COVID19 pandemic in the world. With this in mind, this dataset consists of variables related to sociodemographic characteristics compiled from UN Data, mobility metrics that can assist the analysis of social distancing from Google Community Mobility Reports, and daily counts of cases and deaths by COVID19 from the European Centre for Disease Prevention and Control. By merging and preprocessing these datasets, plus some feature engineering, we are able to provide a single dataset with time-series data from February 15, 2020 to April 11, 2020, with a total of 57 days, 131 countries and 193 variables.
Files
Steps to reproduce
https://dagshub.com/mrd/DIB_COVID19_paper
Institutions
Institut Curie, Universidade Federal do Rio Grande do Norte
Categories
Epidemiology, Sociodemographics, Coronavirus Disease 2019