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Real-Time Epidemic Forecasting is Now a Reality

Jul 23, 2015
By Brad Nemire
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An Epidemiologist is using GPUs for faster and more accurate disease forecasting. Chris Jewell, Senior Lecturer in Epidemiology at Lancaster Medical School in the UK, has been focusing his research on livestock epidemics such as foot and mouth disease, theileriosis, and avian influenza.

epidemic gpu
Figure 1: Predicting the risk of infection by the tick-borne cattle parasite Theileria orientalis (Ikeda) for uninfected farms. Source: Jewell, CP and Brown RG (2015) Bayesian data assimilation provides rapid decision support for vector-borne diseases. J. Roy. Soc. Interface 12:20150367. http://dx.doi.org/10.1098/rsif.2015.0367

Recently, he has refocused his efforts into the human field where populations and epidemics tend to be larger and therefore need more computing grunt. To do so, he is taking advantage of powerful Tesla GPUs, CUDA and a handful of drop-in GPU accelerated libraries.
Read the interview on Parallel Forall >>

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA focused on evangelizing amazing GPU-accelerated applications. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University.

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