Report for: Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

Title	Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis
Published in	The Lancet Regional Health - Americas, January 2022
DOI	10.1016/j.lana.2021.100119
Pubmed ID	35098203
Authors	Paul Mee, Neal Alexander, Philippe Mayaud, Felipe de Jesus Colón González, Sam Abbott, Andreza Aruska de Souza Santos, André Luís Acosta, Kris V. Parag, Rafael H.M. Pereira, Carlos A. Prete, Ester C. Sabino, Nuno R. Faria, Oliver J Brady

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.

Type	Count	As %
Members of the public	18	67%
Scientists	9	33%

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	42	100%

Readers by professional status	Count	As %
Student > Master	5	12%
Researcher	4	10%
Student > Bachelor	2	5%
Student > Doctoral Student	1	2%
Other	1	2%
Other	5	12%
Unknown	24	57%

Readers by discipline	Count	As %
Medicine and Dentistry	3	7%
Nursing and Health Professions	3	7%
Agricultural and Biological Sciences	2	5%
Engineering	2	5%
Mathematics	1	2%
Other	5	12%
Unknown	26	62%

Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis