Masterclass Certificate in Epidemiological Agent-Based Modeling
-- ViewingNowThe Masterclass Certificate in Epidemiological Agent-Based Modeling is a comprehensive course that equips learners with crucial skills in disease modeling and analysis. This program is essential for professionals in public health, healthcare, and research who seek to understand and predict the spread of infectious diseases.
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โข Introduction to Epidemiological Agent-Based Modeling: Defining agent-based modeling, understanding its applications in epidemiology, and comparing it to other modeling techniques. โข Fundamentals of Epidemiology: Reviewing core epidemiological concepts, including disease transmission, prevalence, incidence, and outbreak investigation. โข Agent-Based Modeling Theory: Examining the theoretical foundations of agent-based modeling, including emergence, complexity, and individual-based approaches. โข Model Development in ABM Software: Hands-on training in ABM software tools, such as NetLogo or MASON, to create simple epidemiological models. โข Data Analysis and Visualization: Analyzing and visualizing ABM simulation results, emphasizing statistical methods and software tools like R or Python libraries. โข Model Validation and Sensitivity Analysis: Techniques for validating ABM models, quantifying uncertainty, and performing sensitivity analyses. โข Infectious Disease Case Studies: Applying ABM to real-world infectious disease scenarios, such as influenza, tuberculosis, or COVID-19. โข Policy Modeling and Scenario Analysis: Utilizing ABM to inform public health policy, predict the impact of interventions, and explore alternative scenarios.
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