A spatio-temporal absorbing state model for disease and syndromic surveillance.
about
Seasonality of Influenza and Respiratory Syncytial Viruses and the Effect of Climate Factors in Subtropical-Tropical Asia Using Influenza-Like Illness Surveillance Data, 2010 -2012International society for disease surveillance conference 2011: building the future of public health surveillanceProspective analysis of infectious disease surveillance data using syndromic information.A Bayesian spatio-temporal approach for real-time detection of disease outbreaks: a case studyICARES: a real-time automated detection tool for clusters of infectious diseases in the Netherlands.
P2860
A spatio-temporal absorbing state model for disease and syndromic surveillance.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@en
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@nl
type
label
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@en
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@nl
prefLabel
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@en
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@nl
P2093
P2860
P356
P1476
A spatio-temporal absorbing state model for disease and syndromic surveillance.
@en
P2093
Alan F Karr
David L Banks
Francisco Vera
Gauri Datta
James Lynch
Matthew J Heaton
P2860
P304
P356
10.1002/SIM.5350
P407
P577
2012-03-02T00:00:00Z