Building test data from real outbreaks for evaluating detection algorithms
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DOI: 10.1371/journal.pone.0183992
Abstract: Benchmarking surveillance systems requires realistic simulations of disease outbreaks. However, obtaining these data in sufficient quantity, with a realistic shape and covering a sufficient range of agents, size and duration, is known to be very… read more here.
Keywords: data real; test data; outbreak signals; building test ... See more keywords