相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Epidemiology of influenza B in Australia: 2001-2014 influenza seasons
Aye M. Moa et al.
INFLUENZA AND OTHER RESPIRATORY VIRUSES (2017)
Efficient Markov chain Monte Carlo sampling for hierarchical hidden Markov models
Daniel Turek et al.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2016)
Real-time surveillance for abnormal events: the case of influenza outbreaks
Yao Rao et al.
STATISTICS IN MEDICINE (2016)
Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations
A. Spreco et al.
BMJ OPEN (2016)
Ten influenza seasons in France: distribution and timing of influenza A and B circulation, 2003-2013
Anne Mosnier et al.
BMC INFECTIOUS DISEASES (2015)
Bayesian hierarchical Poisson models with a hidden Markov structure for the detection of influenza epidemic outbreaks
D. Conesa et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2015)
Influenza surveillance in Europe: establishing epidemic thresholds by the Moving Epidemic Method
Tomas Vega et al.
INFLUENZA AND OTHER RESPIRATORY VIRUSES (2013)
Epidemic features affecting the performance of outbreak detection algorithms
Jie Kuang et al.
BMC PUBLIC HEALTH (2012)
Seasonality, Timing, and Climate Drivers of Influenza Activity Worldwide
Eduardo Azziz Baumgartner et al.
JOURNAL OF INFECTIOUS DISEASES (2012)
Statistical methods for the prospective detection of infectious disease outbreaks: a review
Steffen Unkel et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY (2012)
Hidden semi-Markov models
Shun-Zheng Yu
ARTIFICIAL INTELLIGENCE (2010)
Bayesian!Markov switching models for the early detection of influenza epidemics
Miguel A. Martinez-Beneito et al.
STATISTICS IN MEDICINE (2008)
Methods for monitoring influenza surveillance data
Benjamin J. Cowling et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2006)
A Bayesian dynamic model for influenza surveillance
Paola Sebastiani et al.
STATISTICS IN MEDICINE (2006)
Hierarchical statistical modelling of influenza epidemic dynamics in space and time
AS Mugglin et al.
STATISTICS IN MEDICINE (2002)