A statistical model for forecasting probabilistic epidemic bands for dengue cases in Brazil.

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Bibliographic Details
Title: A statistical model for forecasting probabilistic epidemic bands for dengue cases in Brazil.
Authors: Picinini Freitas L; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., da Cruz Ferreira DA; Federal University of Minas Gerais, Belo Horizonte, MG, Brazil., Lana RM; Barcelona Supercomputing Center (BSC), Barcelona, Spain., Câmara DCP; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Portella TP; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Carvalho MS; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Gouveia AS; Graduate Program in Epidemiology in Public Health, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., de Almeida IF; Graduate Program in Epidemiology in Public Health, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Araujo EC; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil., Vacaro LB; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil., Ganem F; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil., Cruz OG; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Coelho FC; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil., Codeço CT; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Carvalho LM; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil., Bastos LS; Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.; Institute of Pure and Applied Mathematics and Technology (IMPA Tech), Rio de Janeiro, RJ, Brazil.
Source: Infectious Disease Modelling [Infect Dis Model] 2025 Aug 05; Vol. 10 (4), pp. 1479-1487. Date of Electronic Publication: 2025 Aug 05 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: KeAi Communications Co., Ltd Country of Publication: China NLM ID: 101692406 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0427 (Electronic) Linking ISSN: 24680427 NLM ISO Abbreviation: Infect Dis Model Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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