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虫媒病毒病记录数据 - 登革热和基孔肯雅热,巴西,2013-2020 年。

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

机构信息

Universidade de Pernambuco, Programa de Pós-Graduação em Engenharia da Computação, Recife, 50720-001, Brazil.

Fundação de Medicina Tropical Dr. Heitor Vieira Dourado, Manaus, 69040-000, Brazil.

出版信息

Sci Data. 2022 May 10;9(1):198. doi: 10.1038/s41597-022-01312-7.

DOI:10.1038/s41597-022-01312-7
PMID:35538103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9090806/
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.

摘要

被忽视的热带病(NTDs)主要包括虫媒病毒,其中登革热和基孔肯雅热最为常见。虫媒病毒主要影响热带国家。巴西在拉丁美洲的病例数最多。本工作提供了一个统一的数据集,包含了确诊的登革热和基孔肯雅热患者以及排除这些疾病感染的患者的临床、社会人口学和实验室数据。数据基于提交给巴西传染病信息系统(SINAN)的病例报告数据,该系统源自葡萄牙的Agravo de Notificação 信息系统(SINAN),涵盖了 2013 年至 2020 年的数据。原始数据集包含 13,421,230 条记录和 118 个属性。经过预处理过程,生成了一个包含 7,632,542 条记录和 56 个属性的最终数据集。本工作中呈现的数据将有助于研究人员更广泛地研究虫媒病毒的出现和传播的前因,特别是登革热和基孔肯雅热。此外,它可以用于训练和测试机器学习模型,用于鉴别诊断和多类分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/c1d4792e5687/41597_2022_1312_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/9b8a121184aa/41597_2022_1312_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/7809572ff96a/41597_2022_1312_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/c1d4792e5687/41597_2022_1312_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/9b8a121184aa/41597_2022_1312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/383a891ae923/41597_2022_1312_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/08d69195201c/41597_2022_1312_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/ef5a7c6548df/41597_2022_1312_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/4339241d43c9/41597_2022_1312_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3538/9090806/c1d4792e5687/41597_2022_1312_Fig7_HTML.jpg

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本文引用的文献

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PLoS Negl Trop Dis. 2021 Aug 9;15(8):e0009603. doi: 10.1371/journal.pntd.0009603. eCollection 2021 Aug.
2
Dengue emergence in the temperate Argentinian province of Santa Fe, 2009-2020.2009 年至 2020 年阿根廷圣达菲省温带地区登革热的出现。
Sci Data. 2021 May 20;8(1):134. doi: 10.1038/s41597-021-00914-x.
3
Co-circulation and misdiagnosis led to underestimation of the 2015-2017 Zika epidemic in the Americas.
[巴西里约热内卢市寨卡病毒与登革热共同流行情况下基孔肯雅热快速检测的效率]
Cad Saude Publica. 2025 Apr 11;41(3):e00127424. doi: 10.1590/0102-311XPT127424. eCollection 2025.
4
Use of ProMED as a Surveillance System for Emerging and Re-Emerging Infectious Diseases in Brazil from 2015 to 2020.2015年至2020年期间,将ProMED用作巴西新发和再发传染病监测系统的情况。
Viruses. 2025 Jan 13;17(1):93. doi: 10.3390/v17010093.
5
A comprehensive seroepidemiology of dengue and chikungunya arboviruses in Iran, 2020-2023.伊朗 2020-2023 年登革热和基孔肯雅热病毒的全面血清流行病学研究。
Virol J. 2024 Nov 26;21(1):305. doi: 10.1186/s12985-024-02574-w.
6
Climate change impacts on dengue transmission areas in Espírito Santo state, Brazil.气候变化对巴西圣埃斯皮里图州登革热传播地区的影响。
Oxf Open Immunol. 2024 Sep 6;5(1):iqae011. doi: 10.1093/oxfimm/iqae011. eCollection 2024.
7
Cryptic circulation of chikungunya virus in São Jose do Rio Preto, Brazil, 2015-2019.2015-2019 年巴西圣若泽-里波朗德州基孔肯雅热病毒的隐匿性循环。
PLoS Negl Trop Dis. 2024 Mar 14;18(3):e0012013. doi: 10.1371/journal.pntd.0012013. eCollection 2024 Mar.
8
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10
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共同传播和误诊导致 2015-2017 年美洲寨卡疫情被低估。
PLoS Negl Trop Dis. 2021 Mar 1;15(3):e0009208. doi: 10.1371/journal.pntd.0009208. eCollection 2021 Mar.
4
The Endless Challenges of Arboviral Diseases in Brazil.巴西虫媒病毒疾病面临的无尽挑战。
Trop Med Infect Dis. 2020 May 9;5(2):75. doi: 10.3390/tropicalmed5020075.
5
Arbovirus emergence in the temperate city of Córdoba, Argentina, 2009-2018.2009-2018 年阿根廷温带城市科尔多瓦的虫媒病毒出现情况。
Sci Data. 2019 Nov 21;6(1):276. doi: 10.1038/s41597-019-0295-z.
6
Chikungunya in Brazil: Rheumatologists on the Front Line.巴西的基孔肯雅热:奋战在一线的风湿病学家。
J Rheumatol. 2018 Oct;45(10):1491-1492. doi: 10.3899/jrheum.171237.
7
Global risk mapping for major diseases transmitted by Aedes aegypti and Aedes albopictus.全球登革热和白纹伊蚊传播主要疾病风险图
Int J Infect Dis. 2018 Feb;67:25-35. doi: 10.1016/j.ijid.2017.11.026. Epub 2017 Nov 28.
8
Emerging arboviruses and public health challenges in Brazil.巴西新出现的虫媒病毒与公共卫生挑战
Rev Saude Publica. 2016 Jun 27;50. doi: 10.1590/S1518-8787.2016050006791.
9
Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults.成人中基孔肯雅热与登革热感染的简单临床和实验室预测因子。
PLoS Negl Trop Dis. 2012;6(9):e1786. doi: 10.1371/journal.pntd.0001786. Epub 2012 Sep 27.
10
Human arboviral encephalitis.人类虫媒病毒性脑炎。
Semin Pediatr Neurol. 2012 Sep;19(3):130-51. doi: 10.1016/j.spen.2012.03.002.