Data-Driven Computational Intelligence Applied to Forecast Dengue Outbreaks: a case study in the city of Natal, RN- Brazil
Main Authors: | Sanchez-Gendriz, Ignacio, de Souza, Gustavo Fontoura, de Andrade, Ion, Doria Neto, Adrião Duarte, Tavares, Alessandre de Medeiros, Barros, Daniele Montenegro da Silva, de Morais, Antonio Higor Freire, Galvão-Lima, Leonardo J., Valentim, Ricardo Alexsandro de Medeiros |
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Format: | info dataset Journal |
Terbitan: |
, 2022
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Subjects: | |
Online Access: |
https://zenodo.org/record/6035128 |
Daftar Isi:
- 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).