Résumé :
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[BDSP. Notice produite par INIST-CNRS y1R0xFk9. Diffusion soumise à autorisation]. Objective : A prospective space-time scan statistic was applied to Chicago's 2002 shigellosis surveillance data to evaluate its utility in objectively describing clusters and assisting in the prioritization of investigations. Methods : The prospective space-time module of SaTScan, a free software available online, was used to identify "live" clusters of disease, meaning cases that were current as of the date of the analysis and strongly associated in place and time. Fifty-two separate space-time analyses were run, one simulation for each week of 2002. Identified clusters were described in terms of space, time, risk factors reported by involved case-patients, and cases'links to venue-associated outbreaks. Results : Twelve live clusters were detected at the p
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