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Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models.

Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city-São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in turn, timely and efficient interventions to reduce...

詳細記述

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主要な著者: Oswaldo Santos Baquero, Lidia Maria Reis Santana, Francisco Chiaravalloti-Neto
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science (PLoS) 2018-01-01
シリーズ:PLoS ONE
オンライン・アクセス:http://europepmc.org/articles/PMC5880372?pdf=render
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