Real-time forecasting of infectious disease dynamics with a stochastic semi-mechanistic model.
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Forecasting influenza in Hong Kong with Google search queries and statistical model fusion.Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models
P2860
Real-time forecasting of infectious disease dynamics with a stochastic semi-mechanistic model.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Real-time forecasting of infec ...... hastic semi-mechanistic model.
@en
type
label
Real-time forecasting of infec ...... hastic semi-mechanistic model.
@en
prefLabel
Real-time forecasting of infec ...... hastic semi-mechanistic model.
@en
P2860
P50
P1476
Real-time forecasting of infec ...... hastic semi-mechanistic model.
@en
P2860
P356
10.1016/J.EPIDEM.2016.11.003
P577
2016-12-16T00:00:00Z