The use of outbreak information in the interpretation of clustering of reported cases of Escherichia coli O157 in space and time in Alberta, Canada, 2000-2002.
We obtained a list of all reported cases of Escherichia coli O157 in Alberta during the 2000-2002 period, and using scan statistics we identified yearly temporal and spatial clusters of reported cases of E. coli O157 during the summer and in southern Alberta. However, the location of the spatial cluster in the south was variable among years. The impact of using both outbreak and sporadic data or only sporadic data on the identification of spatial and temporal clusters was small when analysing individual years, but the difference between spatial clusters was pronounced when scanning the entire study period. We also identified space-time clusters that incorporated known outbreaks, and clusters that were suggestive of undetected outbreaks that we attempted to validate with molecular data. Our results suggest that scan statistics, based on a space-time permutation model, may have a role in outbreak investigation and surveillance programmes by identifying previously undetected outbreaks.
Pearl
D L
DL
Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada. dpearl@uoguelph.ca
Louie
M
M
Chui
L
L
Doré
K
K
Grimsrud
K M
KM
Leedell
D
D
Martin
S W
SW
Michel
P
P
Svenson
L W
LW
McEwen
S A
SA
D000416:Alberta / Q000453:epidemiology; D004196:Disease Outbreaks; D004927:Escherichia coli Infections / Q000453:epidemiology*; D019453:Escherichia coli O157 / Q000302:isolation & purification*; D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D012984:Software; D013029:Space-Time Clustering