Resources Repository
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ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Health Systems | Decision Analysis | Mathematical Models | Government/Law | Health/Medicine | Global -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Health Systems | Decision Analysis | Dynamic Transmission | Risk Analysis | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
ArticlePublication 2006Can Discrete Event Simulation be of Use in Modeling Major Depression?
This article, published in Cost Effectiveness and Resource Allocation, reviews the published literature on Markov …
This article, published in Cost Effectiveness and Resource Allocation, reviews the published literature on Markov models in depression and identified potential limitations in using this particular modelling approach in this disease area. Additionally, the authors develop a “Discrete Event Simulation” (DES) model to investigate the benefits and drawbacks of this simulation method compared with Markov modelling techniques. The findings of this study indicate that the most important limitation of using Markov models in depression is…
Mental Health | Decision Analysis | State-Transition | Microsimulation | Health/Medicine