When climate variables improve the dengue forecasting: a machine learning approach (2024)
Silva, Sidney T da; Gabrick, Enrique Chipicoski 
; Protachevicz, Paulo Ricardo ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos ; Kurths, Jürgen
Fonte: European Physical Journal Special Topics A. Unidade: IF
Assunto: DENGUE
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ABNT
SILVA, Sidney T da et al. When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-024-01201-7. Acesso em: 26 nov. 2025.APA
Silva, S. T. da, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2024). When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A. doi:10.1140/epjs/s11734-024-01201-7NLM
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 nov. 26 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7Vancouver
Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2025 nov. 26 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
