Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil

Abstract Dengue is recognized as a health problem that causes significant socioeconomic impacts throughout the world, affecting millions of people each year. A commonly used method for monitoring the dengue vector is to count the eggs that Aedes aegypti mosquitoes have laid in spatially distributed...

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Hlavní autoři: Ignacio Sanchez-Gendriz, Gustavo Fontoura de Souza, Ion G. M. de Andrade, Adrião Duarte Doria Neto, Alessandre de Medeiros Tavares, Daniele M. S. Barros, Antonio Higor Freire de Morais, Leonardo J. Galvão-Lima, Ricardo Alexsandro de Medeiros Valentim
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2022-04-01
Edice:Scientific Reports
On-line přístup:https://doi.org/10.1038/s41598-022-10512-5
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