Building on the SIR Model faq

instructor Instructor: Nimalan Arinaminpathy instructor-icon
duration Duration: duration-icon

This course introduces learners to the concept of stochasticity in epidemics, and provides an overview of deterministic modelling approaches using R. It also covers population structure and vector-borne diseases, such as the Ross-McDonald Model.

ADVERTISEMENT

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

17th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Building on the SIR Model, is part of a specialisation that focuses on deterministic modelling. It introduces students to the concept of stochasticity and how it can be used to model epidemics. Students will learn how to use R to model infections with population structure, as well as the Ross-McDonald Model for vector-borne diseases. Additionally, students will gain the skills to critically assess a model and conduct a critical peer review of a modelling study.

[Applications]
The application of this course is to gain an understanding of the stochasticity of epidemics and how to model them using R. It also provides an opportunity to gain the skill of critically assessing a model and conducting a critical peer review of a modelling study.

[Career Paths]
1. Epidemiologist: Epidemiologists are public health professionals who investigate patterns and causes of disease and injury in humans. They seek to reduce the risk and occurrence of negative health outcomes through research, community education, and health policy. Epidemiologists use the SIR model to study the spread of infectious diseases and to develop strategies for controlling them. As the world continues to grapple with the COVID-19 pandemic, epidemiologists are in high demand to help develop strategies for controlling the spread of the virus.

2. Data Scientist: Data scientists use the SIR model to analyze data and develop predictive models. They use data to identify trends and patterns in the spread of infectious diseases, and to develop strategies for controlling them. Data scientists also use the SIR model to develop predictive models for other areas, such as predicting stock market trends or predicting customer behavior.

3. Biostatistician: Biostatisticians use the SIR model to analyze data and develop statistical models. They use data to identify trends and patterns in the spread of infectious diseases, and to develop strategies for controlling them. Biostatisticians also use the SIR model to develop statistical models for other areas, such as predicting the effectiveness of medical treatments or predicting the outcomes of clinical trials.

4. Infectious Disease Modeler: Infectious disease modelers use the SIR model to develop mathematical models of the spread of infectious diseases. They use these models to identify trends and patterns in the spread of infectious diseases, and to develop strategies for controlling them. Infectious disease modelers also use the SIR model to develop mathematical models for other areas, such as predicting the spread of antibiotic resistance or predicting the spread of new diseases.

[Education Paths]
1. Bachelor of Science in Epidemiology: This degree path focuses on the study of the spread of diseases and how to prevent them. It covers topics such as public health, biostatistics, and infectious disease control. Students will learn how to use data to identify and analyze patterns of disease, as well as develop strategies to prevent and control the spread of disease. This degree path is becoming increasingly important as the world faces new and emerging infectious diseases.

2. Master of Science in Infectious Disease Modeling: This degree path focuses on the development and application of mathematical models to study the spread of infectious diseases. Students will learn how to use mathematical models to simulate the spread of diseases, as well as how to interpret the results of these models. This degree path is becoming increasingly important as the world faces new and emerging infectious diseases.

3. Doctor of Philosophy in Computational Epidemiology: This degree path focuses on the development and application of computational models to study the spread of infectious diseases. Students will learn how to use computer simulations to simulate the spread of diseases, as well as how to interpret the results of these models. This degree path is becoming increasingly important as the world faces new and emerging infectious diseases.

4. Master of Science in Public Health: This degree path focuses on the study of public health and how to improve it. It covers topics such as health policy, health promotion, and health services. Students will learn how to use data to identify and analyze patterns of health, as well as develop strategies to improve public health. This degree path is becoming increasingly important as the world faces new and emerging public health challenges.

Pros & Cons

Pros Cons
  • pros

    Advanced content

  • pros

    Understandable

  • pros

    Comprehensive

  • pros

    Great follow up

  • pros

    Good information

  • pros

    Excellent instructors.

  • cons

    Syntax problems

  • cons

    More info on stochastic site

  • cons

    Split up in two.

Course Provider

Provider Coursera's Stats at AZClass

Building on the SIR Model introduces learners to the concept of randomness in epidemics and provides an overview of deterministic modeling approaches using R. Learners will learn about deterministic modeling, the process of predicting the outcome of an epidemic based on all known parameters. They will also learn how chance events can shape the future of epidemics and how to model these epidemics using R. Students will learn how to model infections, as population structure plays an important role in transmission dynamics. They will also be introduced to the Ross MacDonald model, which is used to model vector-borne diseases.

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Building on the SIR Model

faq FAQ for Pandemic Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Pandemic courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.