Mathematical Modelling and Analysis of Infectious Disease using R
Live Registration
BATCH #24
03Seats Left
92% Booked
Registration Closed
Course Overview
Workshop Registration End Date :2025-05-15
Program Syllabus
Module 1
About
A model serves as a simplified depiction of a more intricate system or process. Infectious disease models can aid in outbreak responses by offering insights into the spread of diseases within populations, estimating the magnitude of outbreaks, and assessing the potential effects of interventions. Mathematical models can forecast the progression of infectious diseases to illustrate the probable outcomes of an epidemic and assist in shaping public health measures and interventions. In recent years, mathematical modelling has emerged as a crucial Instrument in analysing the dynamics of infectious diseases and supporting the creation of control strategies.
R is a robust tool for modelling infectious diseases mathematically due to its flexible and opensource programming environment. It offers a broad array of statistical and numerical analysis functionalities, enabling researchers to construct intricate models, simulate disease behaviours, and evaluate the effects of various interventions, all within an intuitive interface.
Limited SeatsClosing Soon
Mathematical Modelling and Analysis of Infectious Disease using R
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 2
Aim
The aim is to explore mathematical modelling and assessment of infectious diseases utilizing R.
Module 3
Workshop Objectives
- To forecast the transmission of illness, determine interventions, and guide public health.
- To aid in making choices regarding the limitation of disease transmission and the implementation of vaccination strategies.
Module 4
Workshop Structure
Day 1: Infectious disease model and terminology
- Basics of Infectious disease model, Deterministic infectious disease model
- Susceptible, Infected, Recovered, Force of infection, Basic Reproductive Ratio, Frequency dependent transmission, Density dependent transmission
Day 2: R studio and packages, Framework for mathematical model
- R and packages installation, Loading Library
- Basic Compartment Model, Understanding the model, Model complexities, Addition of interventions, Visualization of the model
Day 3: SusceptibleInfected-Recovered (SIR) Model
- SIR Model, Plotting and SIR Model
- SIR model with population Demographics, Variations on the SIR model
Module 5
Intended For
- Undergraduate/Postgraduate students in Epidemiology, Biostatistics, Public Health, or related fields.
- Researchers and faculty in disease modelling and public health.
- Data analysts and professionals in healthcare and epidemiology.
- Individuals with a background in R programming and an interest in infectious disease modelling.
Module 6
Important Dates
Module 7
Registration Ends
2025-05-15
Indian Standard Timing 3:00 PM
Module 8
Workshop Dates
2025-05-15 to 2025-05-17
Indian Standard Timing 04:00 PM
Module 9
Workshop Outcomes
- Understanding of infectious disease modelling concepts
- Ability to implement and analyze epidemiological models in R
- Hands-on experience with deterministic models and simulations
- Knowledge of disease intervention strategies and public health impact
- Proficiency in data visualization and interpretation for decision-making
Module 10
![]()
Mentor Profile
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 15
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 16
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 17
![]()
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 18
Future Career Prospects
- Epidemiologist specializing in infectious disease modelling
- Data analyst in healthcare and public health sectors
- Research scientist in biostatistics and epidemiology
- Policy advisor in public health organizations
- Consultant for disease outbreak forecasting
- Academic and research roles in computational epidemiology
Module 19
Job Opportunities
- Public Health Organizations (e.g., WHO, CDC)
- Government Health Departments
- Research Institutes and Universities
- Pharmaceutical Companies
- Healthcare Data Analytics Firms
- NGOs and Global Health Organizations
Module 22
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
×
Module 23
![]()
![]()
![]()
![]()
Mathematical Modelling and Analysis of Infectious Disease using R
Related Courses
Digital Twins: Predictive …
AI in Sound Modification
AI, Biopolymers, and Smart …
AI-Powered Drug Discovery with …
Thank dea Mentor for your time and dedication to transmit a piece of your expertise.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Instant Access
Need Guidance?
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.