Online Course – Google Certified Professional Internship in Infectious Disease Modeling, Imperial College London

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קורס אונליין - התמחות מקצועית מוסמכת במידול מחלות זיהומיות של Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding of mathematical models in public health
  • Ability to use the R programming language
  • Knowledge of ordinary differential equations
  • Practical application of infectious disease models
  • Interpretation of ordinary differential equations

What you will learn in the course

Courses for which the course is suitable

  • Public Health Data Analyst
  • R programmer
  • Healthcare Data Scientist
  • Infectious disease researcher
  • Public Health Project Manager
  • Public health consultant
  • Developer of mathematical models for infectious diseases
  • Infectious Disease Control Specialist
  • Health Systems Analyst

Internship – 3-part course series

Mathematical models are increasingly used to support decision-making in public health and infectious disease control. This specialization is designed to introduce some of the basic principles of mathematical modeling, with all models being done in the R programming language – a very common application today.

Prerequisites

  • Basic knowledge of the R language.
  • Introduction to ordinary differential equations.

Advanced mathematical skills are not required, but you should be familiar with ordinary differential equations and how to interpret them.

You will receive clear guidance on the basic theory of infectious disease modeling, along with practical and applied experience in teaching the models in the R programming language.

Details of the courses that make up the specialization

SIR model development

Course 1

Duration: 21 hours

Rating: 4.8 (265 ratings)

Course Details

What you’ll learn

  • Build valid mathematical models that reflect the natural history of a particular infectious disease
  • Interpreting distributional models in terms of rates, proportions, and lags
  • Describe the fundamental processes that drive the dynamics of a SIR epidemic
  • Explain the mechanisms by which sensitivity can change over time and develop a simple SIR model that takes this into account

Skills you will acquire

  • Category: Mathematical model
  • Category: Infectious diseases

Interventions and calibration

Course 2

Duration: 24 hours

Rating: 4.7 (53 ratings)

Course Details

What you’ll learn

  • Identify the relationship between models and real-world epidemiological data
  • Contain a treatment or vaccine in the SIR model, taking into account imperfect effectiveness
  • Perform a simple calibration of the SIR model against time series data
  • Learn two simple approaches to calibrating computer-based models and perform calibrations in R.

Skills you will acquire

  • Category: Mathematical model
  • Category: Infectious diseases

Building on the SIR model

Course 3

Duration: 20 hours

Rating: 4.7 (23 ratings)

Course Details

What you’ll learn

  • Distinguish between stochastic and deterministic models and perform simple simulations
  • Identify where it is important to incorporate population structure into the model
  • Evaluate the assumptions behind the Ross McDonald model and program such a model in R
  • Critically evaluate research in models and communicate its advantages and disadvantages

Skills you will acquire

  • Category: Mathematical model
  • Category: R Programming
  • Category: Infectious diseases

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