Need for Household based epidemic models
Household epidemic models with varying infection response
... Both models could of course be extended towards higher ...besides household structure, all individuals are assumed similar whereas it would be more realistic to distinguish between adults and children ...
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Stochastic epidemic models for emerging diseases incorporating household structure and contact tracing
... major epidemic can occur if and only if R U ≥ ...and epidemic models, and then analysed numerically to gain insight in to their ...the epidemic becomes extinct are obtained, and while ...
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Pair-based likelihood approximations for stochastic epidemic models
... of all possible infection events that are compatible with the observed data, which is often a highly non-trivial exercise. Within the Bayesian framework, one solution is to use data augmentation, specifically including ...
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Epidemic models and MCMC inference
... Many of these techniques combine simpler techniques in various ways, in particular the techniques described in section 3.4 combine MCMC and importance sampling both of which are described below. All of the methods depend ...
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Cyber Epidemic Models with Dependences
... derive epidemic equilibrium thresholds, namely sufficient conditions under which the epidemic spread- ing enters a non-negative equilibrium (the spreading never dies out when there are pull-based ...
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Bayesian nonparametrics for stochastic epidemic models
... nonparametrics, epidemic model, Gaus- sian ...fitting epidemic models to data are overwhelmingly based on parametric approaches, as described in the other articles in this ...to models ...
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Eight challenges for network epidemic models
... the need to capture those charac- teristics of social behaviour that are deemed to affect infection ...modellers need to improve their analytical and computational toolkit. Agent-based simula- tions ...
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Nine challenges for deterministic epidemic models
... example household models feature local mixing in small groups, and Kurtz’s result can be used to underpin the approach of House and Keeling (2008) for their ...SIR epidemic models on tree-like ...
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Mathematical Modeling and Simulation for Epidemic Models
... we need to take account into the stochastic model when the system involves the intrinsic fluctuations or random- ...stochastic models can capture exactly the dynamics of individuals in a small ...
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On the early epidemic dynamics for pairwise models
... sophisticated models as, for instance, the sort of pairwise models we have considered or structured models based on the so-called next generation matrix [6, ...of models involving this ...
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Stochastic epidemic models for emerging diseases
... the epidemic would be more ...isolation based intervention at the end of the infectious pe- riod of the first individual to be diagnosed, and therefore no delay is included in the ...stochastic ...
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Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic Epidemic Models
... decision, based on a subset of outputs, as to whether an input point is implausible that is independent of the rest of the input space, and hence can quickly discard vast regions of input space without modelling ...
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Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models
... design point for the history matching, these results are shown for ‘average’ simulations and individual replicate simulations. the methods are designed to do different things. The aim of HM is to rule out space safely, ...
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Overcoming America’s Opioid Epidemic Will Need Action Not Words
... science based and public informed practical recommendations that could be immediately put into ...the need for all patients to have access to multiple options for ...
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Household Models: An Historical Perspective
... analysis based on a household model, the derivatives of individual income shares with respect to net of tax wage rates appear prominently in the conditions determining tax ...aggregate household ...
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Accuracy of models for the 2001 foot and mouth epidemic
... the epidemic and the spatial pattern of cases at the farm level despite the fact that parametrization is based on aggregate infor- mation at a larger ...
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Bayesian nonparametric inference for stochastic epidemic models
... stochastic epidemic models given observed ...for epidemic models adopts an approach based on a parametric framework, in which a model is a family of distributions that can be described ...
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On bounding exact models of epidemic spread on networks
... pair- based [ 25 , 26 , 13 ] and (f) N-Intertwined Mean-Field Approximation (NIMFA) [ 32 , 31 ...such models perform well, ...the epidemic threshold and final size, or quasi-equilibrium for SIS ...
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Threshold behaviour and final outcome of an epidemic on a random network with household structure
... ‘small-world’ models (Watts and Strogatz, 1998), which have received considerable attention, particularly in the physics ...graph models is that they incorporate a specified degree dis- tribution, the ...
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Analysis of a stochastic SIR epidemic on a random network incorporating household structure
... of epidemic models with a relatively complicated infectious period distribution to those with an infectious period distribution that admits simpler computation, in order to obtain bounds on quantities of ...
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