Published February 10, 2022
| Version 1.0
Dataset
Open
Data-Driven Computational Intelligence Applied to Forecast Dengue Outbreaks: a case study in the city of Natal, RN- Brazil
Authors/Creators
- 1. Laboratory for Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal/RN, Brazil
- 2. Advanced Nucleus of Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal/RN, Brazil
- 3. Department of Computer and Automation, UFRN, Natal/RN, Brazil
- 4. Municipal Health Department, Zoonoses Control Center, Natal/RN, Brazil
- 5. Laboratory for Technological Innovation in Health (LAIS), Hospital Universitário Onofre Lopes, Federal University of Rio Grande do Norte (UFRN), Natal/RN, Brazil;
Description
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).
Files
dengue_incidence_data.csv
Files
(18.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:50e09306fc96357204365bcb0db40e84
|
18.6 kB | Preview Download |
Additional details
References
- Brazil (2020). Brazilian Notifiable Diseases Information System (Sinan). Home page Available from: .http://portalsinan.saude.gov.br/o-sinan