Using an Adjusted Serfling Regression Model to Improve the Early Warning at the Arrival of Peak Timing of Influenza in Beijing

Serfling-type periodic regression models have been widely used to identify and analyse epidemic of influenza. In these approaches, the baseline is traditionally determined using cleaned historical non-epidemic data. However, we found that the previous exclusion of epidemic seasons was empirical, sin...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoli, Wu, Shuangsheng, MacIntyre, C. Raina, Zhang, Hongbin, Shi, Weixian, Peng, Xiaomin, Duan, Wei, Yang, Peng, Zhang, Yi, Wang, Quanyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354906/
https://www.ncbi.nlm.nih.gov/pubmed/25756205
http://dx.doi.org/10.1371/journal.pone.0119923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354906/
https://www.ncbi.nlm.nih.gov/pubmed/25756205
http://dx.doi.org/10.1371/journal.pone.0119923

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