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Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020

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,...

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Autores principales: da Silva Neto, Sebastião Rogério, Tabosa de Oliveira, Thomás, Teixiera, Igor Vitor, Medeiros Neto, Leonides, Souza Sampaio, Vanderson, Lynn, Theo, Endo, Patricia Takako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090806/
https://www.ncbi.nlm.nih.gov/pubmed/35538103
http://dx.doi.org/10.1038/s41597-022-01312-7
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author da Silva Neto, Sebastião Rogério
Tabosa de Oliveira, Thomás
Teixiera, Igor Vitor
Medeiros Neto, Leonides
Souza Sampaio, Vanderson
Lynn, Theo
Endo, Patricia Takako
author_facet da Silva Neto, Sebastião Rogério
Tabosa de Oliveira, Thomás
Teixiera, Igor Vitor
Medeiros Neto, Leonides
Souza Sampaio, Vanderson
Lynn, Theo
Endo, Patricia Takako
author_sort da Silva Neto, Sebastião Rogério
collection PubMed
description 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.
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spelling pubmed-90908062022-05-12 Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020 da Silva Neto, Sebastião Rogério Tabosa de Oliveira, Thomás Teixiera, Igor Vitor Medeiros Neto, Leonides Souza Sampaio, Vanderson Lynn, Theo Endo, Patricia Takako Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-05-10 /pmc/articles/PMC9090806/ /pubmed/35538103 http://dx.doi.org/10.1038/s41597-022-01312-7 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
da Silva Neto, Sebastião Rogério
Tabosa de Oliveira, Thomás
Teixiera, Igor Vitor
Medeiros Neto, Leonides
Souza Sampaio, Vanderson
Lynn, Theo
Endo, Patricia Takako
Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title_full Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title_fullStr Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title_full_unstemmed Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title_short Arboviral disease record data - Dengue and Chikungunya, Brazil, 2013–2020
title_sort arboviral disease record data - dengue and chikungunya, brazil, 2013–2020
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090806/
https://www.ncbi.nlm.nih.gov/pubmed/35538103
http://dx.doi.org/10.1038/s41597-022-01312-7
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