Mathematical Modelling and Analysis of Infectious Disease using R

Predicting and Preventing Disease Outbreaks with R: A Hands-on Workshop

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days (1.5 hours per day)

Start Date
24 -March -2025

Time
10:00 AM IST

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.

Aim

The aim is to explore mathematical modelling and assessment of infectious diseases utilizing R.

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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.

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

Participant’s Eligibility

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.

Important Dates

Registration Ends

2025-03-24
Indian Standard Timing 9:00 AM

Workshop Dates

2025-03-24 to 2025-03-26
Indian Standard Timing 10:00 AM

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

Mentor Profile

Name: Dr. Md Afroz Alam
Designation: Professor and Head
Affiliation: Shalom New Life College, Bengaluru, Karnataka

Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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