Mathematical models of Ebola -- consequences of underlying assumptions
From MaRDI portal
Publication:288954
DOI10.1016/j.mbs.2016.04.002zbMath1358.92088OpenAlexW2343247302WikidataQ39808040 ScholiaQ39808040MaRDI QIDQ288954
John W. Glasser, Nancy Hernandez-Ceron, Henry Zhao, Andrew N. Hill, Zhilan Feng, Yiqiang Zheng
Publication date: 27 May 2016
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mbs.2016.04.002
mathematical modelsarbitrarily distributed disease stageEbolaexponential waiting timemodel assumptions
Related Items (13)
A procedure for deriving new ODE models: Using the generalized linear chain trick to incorporate phase-type distributed delay and dwell time assumptions ⋮ Robust optimal control of compartmental models in epidemiology: application to the COVID-19 pandemic ⋮ Mathematical analysis of the Ross-Macdonald model with quarantine ⋮ Evaluations of interventions using mathematical models with exponential and non-exponential distributions for disease stages: the case of Ebola ⋮ A mosquito-borne disease model with non-exponentially distributed infection and treatment stages ⋮ Staggered release policies for COVID-19 control: costs and benefits of relaxing restrictions by age and risk ⋮ Regression model for the reported infected during emerging pandemics under the stochastic SEIR ⋮ Assessing the effects of modeling the spectrum of clinical symptoms on the dynamics and control of Ebola ⋮ On the optimal control of SIR model with Erlang-distributed infectious period: isolation strategies ⋮ A nonlinear model predictive control model aimed at the epidemic spread with quarantine strategy ⋮ Generalizations of the `linear chain trick': incorporating more flexible dwell time distributions into mean field ODE models ⋮ Analysis of age-structured pertussis models with multiple infections during a lifetime ⋮ Building mean field ODE models using the generalized linear chain trick & Markov chain theory
Cites Work
- Unnamed Item
- Discrete epidemic models with arbitrary stage distributions and applications to disease control
- Modeling contact tracing in outbreaks with application to Ebola
- Integral equation models for endemic infectious diseases
- Epidemiological models with non-exponentially distributed disease stages and applications to disease control
- Reproduction numbers for discrete-time epidemic models with arbitrary stage distributions
- Endemic Models with Arbitrarily Distributed Periods of Infection I: Fundamental Properties of the Model
This page was built for publication: Mathematical models of Ebola -- consequences of underlying assumptions
