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Abstract:
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In addition to adverse reactions to individual vaccines, adverse vaccine effects (AVEs) may arise from interactions between vaccines. Large spontaneous reporting databases such as the Vaccine Adverse Event Reporting System (VAERS) contain reports of adverse events associated with immunization which allow detection of potentially harmful vaccine interactions in the postmarket stage. In this paper, we describe a logistic regression based methodology for detecting vaccine interaction adverse effects. We evaluate our procedure with several numerical simulations, and we compare our results with known safety profiles, to validate the ability of our method to detect potential vaccine interaction adverse effects.
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