| detecting related cases of bloodstream infections using time-interval distribution modelling. | an algorithm was designed to highlight related bloodstream infections using data from a nosocomial infection surveillance system to help local public health authorities direct specific measures towards clusters of cases. the approach was based on a two-step procedure. the first was a test to identify pathogens with an abnormal number of close cases. the second modelled, for the identified pathogens, the distribution of time intervals between successive cases as a mixture of two theoretical distr ... | 2010 | 19914738 |