Cargando…
Time Series Analysis of Incidence Data of Influenza in Japan
BACKGROUND: Much effort has been expended on interpreting the mechanism of influenza epidemics, so as to better predict them. In addition to the obvious annual cycle of influenza epidemics, longer-term incidence patterns are present. These so-called interepidemic periods have long been a focus of ep...
Autores principales: | Sumi, Ayako, Kamo, Ken-ichi, Ohtomo, Norio, Mise, Keiji, Kobayashi, Nobumichi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japan Epidemiological Association
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899513/ https://www.ncbi.nlm.nih.gov/pubmed/21088372 http://dx.doi.org/10.2188/jea.JE20090162 |
Ejemplares similares
-
Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China
por: Chen, Banghua, et al.
Publicado: (2015) -
Time-series analysis of geographically specific monthly number of newly registered cases of active tuberculosis in Japan
por: Sumi, Ayako, et al.
Publicado: (2019) -
Associations between Meteorological Factors and Reported Mumps Cases from 1999 to 2020 in Japan
por: Mise, Keiji, et al.
Publicado: (2021) -
Time series analysis of daily reported number of new positive cases of COVID-19 in Japan from January 2020 to February 2023
por: Sumi, Ayako
Publicado: (2023) -
A k-means method for trends of time series: An application to time series of COVID-19 cases in Japan
por: Watanabe, Norio
Publicado: (2022)