Rogério da Silva Neto, Sebastião ORCID: 0000-0001-8109-697X, Oliveira, Thomás Tabosa ORCID: 0000-0001-8224-5922, Teixiera, Igor Vitor, Medeiros Neto, Leonides ORCID: 0000-0002-0987-0921, Sampaio, Vanderson Souza ORCID: 0000-0001-7307-8851, Lynn, Theo ORCID: 0000-0001-9284-7580 and Endo, Patricia Takako ORCID: 0000-0002-9163-5583 (2022) Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020. Scientific Data, 9 (198). ISSN 2052-4463
Abstract
One of the main categories of Neglected tropical Diseases (NtDs) are arboviruses, of which Dengue and Chikungunya are the most common. Arboviruses mainly affect tropical countries. Brazil has the largest absolute number of cases in Latin America. This work presents a unified data set with clinical, sociodemographic, and laboratorial data on confirmed patients of Dengue and Chikungunya, as well as patients ruled out of infection from these diseases. The data is based on case notification data submitted to the Brazilian Information System for Notifiable Diseases, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), from 2013 to 2020. The original data set comprised 13,421,230 records and 118 attributes. Following a pre-processing process, a final data set of 7,632,542 records and 56 attributes was generated. The data presented in this work will assist researchers in investigating antecedents of arbovirus emergence and transmission more generally, and Dengue and Chikungunya in particular. Furthermore, it can be used to train and test machine learning models for differential diagnosis and multi-class classification.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Medical Sciences > Diseases Medical Sciences > Infection |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Publisher: | Nature Research |
Official URL: | https://dx.doi.org/10.1038/s41597-022-01312-7 |
Copyright Information: | © 2022 The Authors. |
Funders: | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001, Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco (FACEPE), and Universidade de Pernambuco (UPE) |
ID Code: | 27531 |
Deposited On: | 10 Aug 2022 15:40 by Thomas Murtagh . Last Modified 20 Apr 2023 17:13 |
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