The modeling of global epidemics: stochastic dynamics and predictability.
about
International Air Travel to Ohio, USA, and the Impact on Malaria, Influenza, and Hepatitis AMultiscale mobility networks and the spatial spreading of infectious diseasesModeling the worldwide spread of pandemic influenza: baseline case and containment interventionsImpact of human mobility on the periodicities and mechanisms underlying measles dynamicsThe influenza pandemic preparedness planning tool InfluSimControlling pandemic flu: the value of international air travel restrictions.Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models.The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale.Predicting unobserved exposures from seasonal epidemic dataModeling epidemics on adaptively evolving networks: A data-mining perspective.Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study.The structure of borders in a small world.Effective Vaccination Policies.Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational modelPredictive validation of an influenza spread model.The Role of Human Transportation Networks in Mediating the Genetic Structure of Seasonal Influenza in the United StatesModelling disease spread and control in networks: implications for plant sciences.Accurate noise projection for reduced stochastic epidemic models.Spreading to localized targets in complex networks.Network based models for biological applications.Predicting epidemic evolution on contact networks from partial observations.Invasion threshold in structured populations with recurrent mobility patterns.Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).Epidemic spreading in networks with nonrandom long-range interactions.A Computational Framework for a Digital Surveillance and Response Tool: Application to Avian Influenza.EPIDEMIC PREDICTIONS AND PREDICTABILITY IN COMPLEX ENVIRONMENTSComplexity in human transportation networks: a comparative analysis of worldwide air transportation and global cargo-ship movements
P2860
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P2860
The modeling of global epidemics: stochastic dynamics and predictability.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
The modeling of global epidemics: stochastic dynamics and predictability.
@en
The modeling of global epidemics: stochastic dynamics and predictability.
@nl
type
label
The modeling of global epidemics: stochastic dynamics and predictability.
@en
The modeling of global epidemics: stochastic dynamics and predictability.
@nl
prefLabel
The modeling of global epidemics: stochastic dynamics and predictability.
@en
The modeling of global epidemics: stochastic dynamics and predictability.
@nl
P1476
The modeling of global epidemics: stochastic dynamics and predictability.
@en
P2093
Barthélemy M
P2888
P304
P356
10.1007/S11538-006-9077-9
P577
2006-06-20T00:00:00Z