Compiling raw data on a dashboard
Timothée Poisot, a professor in the Department of Biological Sciences at Université de Montréal, believes this data could be very valuable. This summer, he is leading a small team exploring the possibility of transforming the raw monitoring data into a dashboard of risk indicators, a sort of “Weather Channel for wildlife diseases,” as he puts it.
Cole Brookson, a Ph.D. student at Yale University in New Haven, Connecticut, and Ariane Bussières-Fournel, an undergraduate student in Biological Sciences, will determine which data to include and exclude, and then standardize and classify the data.
Berlin is a useful case because there is enough data on CDV in foxes to make precise calculations.
“There were cases of distemper in highly urbanized parts of Berlin, which made it possible to create datasets that tell us about the quality of the data needed to create models that could inform policymakers and the public about the prevalence of the distemper virus in specific areas,” Poisot explained.