Data-Driven Computational Intelligence Applied to Dengue Outbreak Forecasting: a case study at the scale of the city of Natal, RN-Brazil

The dataset comprises survey data from the following sources:dengue_incidence_data.csv: public data provided by Municipal Health Department of Natal, State of Rio Grande do Norte, Brazil; and data of Brazilian Notifiable Diseases Information System (Sinan). The objective of this paper was to analyze incidence data of dengue cases registered in each neighborhood of Natal city, weekly sampled (52 epidemiological weeks a year) between 2016 – 2019).

本数据集包含来自以下两类来源的调查数据：其一为巴西北里奥格兰德州纳塔尔市市政卫生部公开提供的登革热发病数据文件（dengue_incidence_data.csv）；其二为巴西法定传染病信息系统（Brazilian Notifiable Diseases Information System, Sinan）所提供的数据。本研究旨在分析2016年至2019年间，以周为采样周期（每年涵盖52个流行病学周）、登记于纳塔尔市各街区的登革热病例发病数据。