What?The study of the causes of both good and bad health through the statistical analysis of any type of data. We are particularly interested in geographical, spatial variations in the prevalence of PD.
Why?
Finding variations in the prevalence of Parkinson's Disease is of interest for a number of reasons. They may give clues as to:
In short, if we understood the spatial differences in PD's prevalence, we would be much closer to finding a cure.
Why not?It's not going to be easy. If it were, the disease would have been cured by now. But …
Why now?
… things are moving to our advantage:
So, it's now possible for someone in Stafford, or Seattle or Singapore, to access billions of pieces of Parkinson's data from Scotland, and to collaborate with someone in Sydney to data mine it. |
StudiesData mining South Carolina data suggests environmental role in PD.
Data mining US county level data suggests an environmental role in the incidence of PD
Maps of inferred relative prevalence of PD in England using prescription data.
|