title: Enhanced geographically restricted surveillance simulates sporadic Creutzfeldt-Jakob disease cluster.
abstract: Spatio-temporal clustering of sporadic Creutzfeldt-Jakob disease (sCJD) has been recognized and investigated previously in various global settings including Australia. Generally, despite often extensive investigation, explanations such as point source outbreaks and plausible case-to-case transmission links have not been identified to explain the apparently higher case rates than expected. In the context of national surveillance during the period 1993-2006, an increased number of cases of sCJD were recognized in a circumscribed coastal region of eastern Australia. To assess the significance of this apparent clustering, the Spatial Scan Statistic was used to examine for geographic excess of CJD mortality at spatial and temporal combined, spatial only and temporal only levels. A significant spatial cluster was confirmed, encompassing three contiguous statistical local areas within the state of New South Wales (NSW). Detailed epidemiological analysis did not reveal a plausible cross-over or point source transmission event. Further evaluation prompted the conclusion that vigilant and motivated managing clinicians in this geographically circumscribed area of NSW evinced a sustained higher level of clinical awareness for the broad phenotypic spectrum of CJD with reliable referral of suspect cases for further investigation. In addition, these physicians established and maintained a well-coordinated and active approach to suspect CJD autopsy. This combination of factors translated into a higher intensity of surveillance at approximately twice the rate per population observed in the entire state, culminating in twice the incidence of sCJD at around 2.28 cases/million population/year. The hypothesis that intensity of surveillance for rare disorders can be objectively measured and that this can positively correlate with disease incidence deserves further exploration. It may prove to be an important insight into the varying incidence rates over periods of time within individual nations and between different countries.
authors.affiliation: Department of Pathology, The University of Melbourne, Victoria 3010, Australia. stevenjc@unimelb.edu.au.
authors.forename: Genevieve M
authors.initials: GM
authors.lastname: Klug
authors.forename: Handan
authors.initials: H
authors.lastname: Wand
authors.forename: Alison
authors.initials: A
authors.lastname: Boyd
authors.forename: Matthew
authors.initials: M
authors.lastname: Law
authors.forename: Scott
authors.initials: S
authors.lastname: Whyte
authors.forename: John
authors.initials: J
authors.lastname: Kaldor
authors.forename: Colin L
authors.initials: CL
authors.lastname: Masters
authors.forename: Steven
authors.initials: S
authors.lastname: Collins
mesh_terms: D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D007562:Creutzfeldt-Jakob Syndrome / Q000453:epidemiology*; D003710:Demography; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D009517:New South Wales / Q000453:epidemiology; D011446:Prospective Studies; D018571:Sentinel Surveillance; D017678:Sex Distribution; D013029:Space-Time Clustering