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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Pubblicato in:PLoS One
Autori principali: Wang, Xiaoli, Wu, Shuangsheng, MacIntyre, C. Raina, Zhang, Hongbin, Shi, Weixian, Peng, Xiaomin, Duan, Wei, Yang, Peng, Zhang, Yi, Wang, Quanyi
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2015
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4354906/
https://ncbi.nlm.nih.gov/pubmed/25756205
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0119923
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