Estimating the under-reporting rate for infectious gastrointestinal illness in Ontario.
BACKGROUND
In Ontario, infectious gastrointestinal illness (IGI) reporting can be represented by a linear model of several sequential steps required for a case to be captured in the provincial reportable disease surveillance system. Since reportable enteric data are known to represent only a small fraction of the total IGI in the community, the objective of this study was to estimate the under-reporting rate for IGI in Ontario.


METHODS
A distribution of plausible values for the under-reporting rate was estimated by specifying input distributions for the proportions reported at each step in the reporting chain, and multiplying these distributions together using simulation methods. Input distributions (type of distribution and parameters) for the proportion of cases reported at each step of the reporting chain were determined using data from the Public Health Agency of Canada's National Studies on Acute Gastrointestinal Illness (NSAGI) initiative.


RESULTS
For each case of enteric illness reported to the province of Ontario, the estimated number of cases of IGI in the community ranged from 105 to 1,389, with a median of 285, and a mean and standard deviation of 313 and 128, respectively.


CONCLUSIONS
Each case of enteric illness reported to the province of Ontario represents an estimated several hundred cases of IGI in the community. Thus, reportable disease data should be used with caution when estimating the burden of such illness. Program planners and public health personnel may want to consider this fact when developing population-based interventions.
Majowicz
Shannon E
SE
Department of Population Medicine, University of Guelph, Guelph, ON, Canada. shannon_majowicz@phac-aspc.gc.ca
Edge
Victoria L
VL
Fazil
Aamir
A
McNab
W Bruce
WB
Doré
Kathryn A
KA
Sockett
Paul N
PN
Flint
James A
JA
Middleton
Dean
D
McEwen
Scott A
SA
Wilson
Jeffery B
JB
D018563:Disease Notification / Q000592:standards; D005243:Feces / Q000382:microbiology; D005759:Gastroenteritis / Q000453:epidemiology* / Q000382:microbiology*; D006306:Health Surveys; D006801:Humans; D016014:Linear Models; D009864:Ontario / Q000453:epidemiology; D015980:Public Health Practice; D018571:Sentinel Surveillance