Generalized Seasonal Autoregressive Integrated Moving Average Models for Count Data with Application to Malaria Time Series with Low Case Numbers

INTRODUCTION: With the renewed drive towards malaria elimination, there is a need for improved surveillance tools. While time series analysis is an important tool for surveillance, prediction and for measuring interventions’ impact, approximations by commonly used Gaussian methods are prone to inacc...

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Detalles Bibliográficos
Autores principales: Briët, Olivier J. T., Amerasinghe, Priyanie H., Vounatsou, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681978/
https://www.ncbi.nlm.nih.gov/pubmed/23785448
http://dx.doi.org/10.1371/journal.pone.0065761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681978/
https://www.ncbi.nlm.nih.gov/pubmed/23785448
http://dx.doi.org/10.1371/journal.pone.0065761

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