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DSTC-00536 Online (e-LMS) Graduate / Intermediate

R for Mathematical Modelling and Analysis of Infectious Disease

by - DSTC

Master R for Mathematical Modelling and Analysis of Infectious Disease in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή5,500 + GST

πŸ“š Syllabus & Course Curriculum

Data Science & Analytics

Module-by-module breakdown of R for Mathematical Modelling and Analysis of Infectious Disease, from foundations to a certified capstone project.

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Outline

Overview of Infectious Disease Modeling and Its Importance β€’ Role of Mathematical Models in Public Health Decision-Making β€’ Understanding Epidemics, Outbreaks, and Disease Spread β€’ Applications of Modeling in Surveillance, Forecasting, and Control Planning

Outline

Core Concepts in Mathematical Epidemiology Training β€’ Host, Pathogen, Transmission, Susceptibility, and Recovery Concepts β€’ Understanding Population-Level Disease Dynamics β€’ Key Assumptions and Limitations in Epidemiological Models

Outline

Principles of Disease Transmission Modeling β€’ Transmission Routes, Contact Patterns, and Infection Risk β€’ Understanding Incidence, Prevalence, and Epidemic Curves β€’ Interpreting Transmission Dynamics in Different Population Settings

Outline

Introduction to Epidemiology Modeling in R β€’ Structuring Infectious Disease Data for Analysis β€’ Building Basic Model Workflows and Interpreting Outputs β€’ Using R-Based Approaches for Visualization and Scenario Analysis

Outline

Introduction to Compartmental Modeling Concepts β€’ Susceptible, Infected, Recovered, and Exposed Population Groups β€’ Modeling Disease Progression Across Population Compartments β€’ Applications of Compartmental Models in Outbreak Analysis

Outline

Understanding Basic and Effective Reproduction Numbers β€’ Estimating Disease Spread Potential and Outbreak Growth β€’ Forecasting Trends Under Different Transmission Conditions β€’ Using Model Outputs to Support Public Health Planning

Outline

Introduction to Infectious Disease Control Strategies β€’ Modeling Vaccination, Isolation, Quarantine, Screening, and Treatment Effects β€’ Evaluating Intervention Timing, Coverage, and Effectiveness β€’ Comparing Control Scenarios for Better Decision-Making

Outline

Online Infectious Disease Workshop for Applied Learning β€’ Case Studies in Respiratory, Vector-Borne, and Emerging Infectious Diseases β€’ Interpreting Model Results for Reports and Policy Communication β€’ Final Applied Exercise on Infectious Disease Modeling and Control Planning

Earn government-registered certification in R for Mathematical Modelling and Analysis of Infectious Disease

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

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