Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

Published: 13 May 2020| Version 11 | DOI: 10.17632/tggrsbz3bb.11
Contributors:
Marcel Ribeiro-Dantas,
Gisliany Alves,
Rafael B. Gomes,
Leonardo T Bezerra,
Luciana Lima,
Ivanovitch Silva

Description

Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises (i) sociodemographic characteristics, compiled from 35 datasets obtained at UN Data; (ii) mobility metrics that can assist the analysis of social distancing, from Google Community Mobility Reports and; (iii) daily counts of cases and deaths by COVID-19, from the European Centre for Disease Prevention and Control and the Johns Hopkins University Center for Systems Science and Engineering. This unified dataset ranges from February 15, 2020 to May 7, 2020, a total of 83 days, and is provided as a collection of time series for 131 countries with 192 variables. The pipeline to preprocess and generate the dataset, along with the dataset itself, are versioned with the Data Version Control tool (DVC) and are thus easily reproducible.

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

License