The Covid-19 pandemic caused by the Coronavirus has produced a wealth of data to a degree not seen in any previous pandemic, and doubtless will fuel an equivalent volume of research. Statistical researchers outside the field of epidemiology have become involved, and will need to learn more about epidemiological models.
Analyzing and Modeling Coronavirus Data
In this course you will learn about both epidemiological models and statistical models used to forecast Covid-19 pandemic data.
In this course, you will learn the basic epidemiologic models and statistical models that are used to forecast the Covid-19 pandemic
- Explain the workings of a basic SIR model
- Specify Markov Chain Monte Carlo simulation for SIR
- Factor in the SIR model parameters
- Explain the IHME curve-fitting statistical model
- Explain the difference between the SIR model and the IHME model
- Quickly read and digest analyses of the Coronavirus pandemic
Who Should Take This Course
This course is for statistically literate health science professionals, and statistical research professionals who need to understand how the Covid-19 pandemic is being modeled.
Mr. Wayne Folta
Exploring the data
- Age and health
- Sources and reliability
- Heterogeneity among geographic units
- Movement between 3 health states
- Removed (recovered or dead)
- Markov Chain simulation
- Model parameters
- R - reproduction rate
- IHME model
- Curve fitting
- Data used as base
- First Wuhan, then Italy, Spain, ...
- Mixed models
- SIR and statistical models compared
- Future resurgence
- Data-based decision-making
- Public policy
- Companies and Organizations
Jun 12, 2020 to Jul 10, 2020
No classes scheduled at this time.
No classes scheduled at this time.
This is a discussion-based seminar style course. It is intended for statistically-literate researchers, but you will gain something from the course even if you are not an expert in statistical models.
Frequently Asked Questions
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Class Start Dates: Nov 6, 2020, Nov 5, 2021
Additional Course Information
Organization of Course
This course takes place online at The Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.
At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.
Homework in this course consists of discussion questions, plus mostly optional assignments to test knowledge of modeling. Records of completion will be issued, based primarily on participation in discussion.
All materials and links to materials will be provided.
Modeling illustrations will be provided in R
Course Fee & Information
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.
Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.
Contact us to get information on group rates.
Academic affiliation? In most courses you are eligible for a discount at checkout.
New to Statistics.com? Click here for a special introductory discount code.
Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.
Options for Credit and Recognition
This course is eligible for the following credit and recognition options:
You may take this course without pursuing credit or a record of completion.
Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.
CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.
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