As a follow up to this series of posts, I’ve created a version of the
model that you can experiment with on your own, without needing to know
any computer programming. Try it here. Note that it may take some time
for the model to load. If you arrived here and haven’t already read the
series of po… *Read
more*

This is my fourth post on modeling the Coronavirus epidemic. I
recommend starting with the first post and reading them in order. So
far, we’ve learned about the SIR model and used available data combined
with the model to predict the epidemic. We’re now going to detour into
some additional mathem…
*Read more*

Welcome to the third post in my series on modeling the Coronavirus
pandemic. In the first and second posts, we introduced the SIR model and
used the available data to estimate the model parameters, in the absence
of any mitigation (i.e. with no social distancing, quarantine, etc.). In
this post w… *Read
more*

Welcome back! In the first post of this series, we learned about the
SIR model, which consists of three differential equations describing the
rate of change of susceptible (S), infected (I), and recovered (R)
populations: [\begin{align*} & = -I \ \frac{dI}{dt…
*Read
more*

**David I. Ketcheson**

I am a
Professor of
Applied
Mathematics and Computational Science at King Abdullah University of
Science and Technology (KAUST),
where I lead the Numerical
Mathematics Group.

My research involves analysis and development of numerical methods for integration of ordinary and partial differential equations, as well as the implementation of such methods in open source, accessible, high performance software and its application to understanding behavior of nonlinear waves in heterogeneous materials.

- Office: 4202 Al-Khawarizmi Building
- Email & online networks: linked from icons below.