Comparison of stochastic and deterministic frameworks in dengue modelling

DOI10.1016/j.mbs.2019.01.010zbMath1425.92180OpenAlexW2913279979WikidataQ91421616 ScholiaQ91421616MaRDI QIDQ2328366

Bernard Cazelles, Clara Champagne

Publication date: 10 October 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2019.01.010

zbMATH Keywords

environmental stochasticityparticle Markov chain Monte Carlodenguedemographic stochasticityinfectious disease model

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (4)

A novel mathematical analysis and threshold reinforcement of a stochastic dengue epidemic model with Lévy jumps ⋮ Global dynamics of a dengue fever model incorporating transmission seasonality ⋮ Unnamed Item ⋮ Spatial-temporal risk index and transmission of a nonlocal dengue model

Uses Software

• GitHub
• ssm

Cites Work

• Unnamed Item
• Stochastic epidemic models: a survey
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• On the identifiability and distinguishability of nonlinear parametric models
• The type-reproduction number \(T\) in models for infectious disease control
• Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity
• Comparing vector-host and SIR models for dengue transmission
• Epidemic modelling: aspects where stochasticity matters
• An Introduction to Stochastic Epidemic Models
• Particle Markov Chain Monte Carlo Methods
• Bayesian Measures of Model Complexity and Fit
• The Relevance of Stochastic Models for Large-Scale Epidemiological Phenomena

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