This training course is designed to equip participants with the essential skills to develop and apply mathematical models for vaccine-preventable diseases using R. Participants will learn how to construct, analyze, and interpret models to inform vaccination strategies and public health policies.
The course covers topics such as disease transmission dynamics, model building, parameter estimation, sensitivity analysis, and scenario analysis using R. Participants will gain hands-on experience through practical sessions integrated into each module.
Public health professionals
Epidemiologists
Researchers
Data analysts
Healthcare professionals
Understand the fundamentals of mathematical modeling for vaccine-preventable diseases
Learn how to use R for model development and analysis
Develop skills in parameter estimation and sensitivity analysis
Apply models to inform vaccination strategies
Interpret and communicate model results effectively
Enhance your modeling and data analysis skills
Gain practical experience with R for modeling
Improve your ability to make data-driven decisions
Expand your career opportunities
Network with professionals in the field
Improved modeling capabilities within the organization
Better-informed decision-making for vaccination strategies
Enhanced reporting and communication of model insights
Increased efficiency in managing and interpreting disease data
Strengthened public health response
Interactive lectures
Hands-on practical sessions
Case studies and real-world examples
Group discussions and collaborative learning
Continuous assessment and feedback
5 days
KES 167,960
USD 1,300
Module 1: Introduction to Mathematical Modelling
Module 2: Disease Transmission Dynamics
Module 3: Parameter Estimation and Calibration
Module 4: Scenario Analysis and Simulation
Module 5: Advanced Modeling Techniques
Module 6: Case Studies in Vaccine Preventable Diseases
Module 7: Model Validation and Uncertainty Analysis
Module 8: Data Visualization and Reporting
Module 9: Policy Implications of Modeling
Module 10: Future Directions in Disease Modeling
Our trainers are seasoned professionals with extensive experience in epidemiology, mathematical modeling, and the use of R. They bring a wealth of practical knowledge and real-world insights to the training.
We are committed to providing high-quality training that meets the needs of our participants. Our courses are designed to be interactive, engaging, and relevant to real-world challenges.
We offer tailor-made courses to suit the specific needs of organizations. Please contact us to discuss your requirements and we will design a course that meets your needs.
Payment is required a week before the training starts.
We provide accommodation and airport pick-up services for participants. Please contact us for more details.
Armstrong Global Institute
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