Covid-19 Analytics

coronavirus-4833754_960_720.jpgI’ve been busy developing a Covid-19 predictive model using R Studio’s Shiny development environment. This project started as a way of informing myself of what might be happening locally but subsequently grew wings.

It’s using UK and Scottish gov. data on infection rates to make predictions of likely infection levels within various health service regions. The concept of recovery is built into the model as a way of measuring residual levels of infectivity within a population. A user can supply the geographic region as well as change model parameters and assumptions about how the virus is impacting a health system

It’s still at a fairly basic stage and more is being added weekly. National metrics on testing rates have recently been implemented, for example.

If you’d like to sample the app please get in touch and I’ll send you a link. With the help of colleagues I’m in the process of securing a permanent server to deploy the app onto so I can share the work more widely.

Developed by Mackintosh Modelling & Data Simulations.

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Red Blood Cell Simulations

I’ve recently finished part one of a mini Unity project looking at the stacking behavior of red blood cells in a basic turbulent flow. In this real time simulation you can see how the contact adhesion and stacking rate of red cells increases as plasma Fibrinogen concentrations increase.

Fluid flow was programmed from first principles using some simplified assumptions and custom code generated for red cell attraction and adhesion as a function of plasma content.

This simulation is VR ready so you can don a headset and fly around and study any part of the domain in real time. This simulation can also be ported over to more complex domains.

Stage two of the simulation will include deformation of the red cells during contact with domain walls and other cells.

These stacking effects happen in patients with various blood clotting conditions or super high haematocrits.
Developed By Mackintosh Modelling and Data Simulations