Dataset for country profile and mobility analysis in the assessment of COVID-19 pandemic

Marcel da Câmara Ribeiro-Dantas; Gisliany Alves; Rafael B Gomes; Leonardo C T Bezerra; Luciana Lima; Ivanovitch Silva

doi:10.1016/j.dib.2020.105698

Dataset for country profile and mobility analysis in the assessment of COVID-19 pandemic

Data Brief. 2020 May 13:31:105698. doi: 10.1016/j.dib.2020.105698. eCollection 2020 Aug.

Authors

Marcel da Câmara Ribeiro-Dantas^{1

2}, Gisliany Alves³, Rafael B Gomes³, Leonardo C T Bezerra³, Luciana Lima³, Ivanovitch Silva³

Affiliations

¹ Institut Curie, Paris, France.
² Ecole Doctorale Informatique, Télécomunications et Electronique, Paris, France.
³ Federal University of Rio Grande do Norte, Natal, Brazil.

Abstract

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.

Keywords: COVID-19; Health Informatics; Mobility; Pandemic; Social Distancing; Sociodemographic data.