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ABSTRACT: Objective
The sexual transmission of enteric diseases poses an important public health challenge. We aimed to build a prediction model capable of identifying individuals with a reported enteric disease who could be at risk of acquiring future sexually transmitted infections (STIs).Materials and methods
Passive surveillance data on Montreal residents with at least 1 enteric disease report was used to construct the prediction model. Cases were defined as all subjects with at least 1 STI report following their initial enteric disease episode. A final logistic regression prediction model was chosen using forward stepwise selection.Results
The prediction model with the greatest validity included age, sex, residential location, number of STI episodes experienced prior to
SUBMITTER: Caron M
PROVIDER: S-EPMC11960768 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature