Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models-Reference-Cited by-同舟云学术

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

Published:2018-04-02 Issue:4 Volume:13 Page:e0195065
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Baquero Oswaldo Santos^ORCID,Santana Lidia Maria Reis,Chiaravalloti-Neto Francisco

Funder

Coordenadoria de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference31 articles.

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2. Dengue: a continuing global threat;MG Guzman;Nat Rev Microbiol,2010

3. The global distribution and burden of dengue;S Bhatt;Nature [Internet]. Nature Research,2013

4. Pan American Health Organization. Number of Reported Cases of Dengue and Severe Dengue (SD) in the Americas, by Country [Internet]. 2016. http://www.paho.org/hq/index.php?option=com_topics&view=rdmore&cid=6290&Itemid=40734

5. Surveillance of dengue fever virus: a review of epidemiological models and early warning systems;V Racloz;PLoS Negl Trop Dis [Internet],2012

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