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Mathematical Biosciences
Volume 345, 2022, 108778

Pairing food and drink: A physiological model of blood ethanol levels for a variety of drinking behaviors

Sharon Moorea, Ami Radunskayab, Elizabeth Zollingerc, Kathleen A. Grantd, Steven Gonzalesd

Baylor University, Department of Computer Science, Bioinformatics, Waco, TX, USA.


We present a blood ethanol concentration compartment model which utilizes an animal’s ethanol intake, food intake, and weight to predict the animal’s blood ethanol concentration at any given time. By incorporating the food digestion process into the model we can predict blood ethanol concentration levels over time for a variety of drinking and eating scenarios. The model is calibrated and validated using data from cohorts of male monkeys, and is able to capture blood ethanol concentration kinetics of the monkeys from a variety of drinking behavior classifications.

Keywords: Mathematical modeling, Alcohol use disorder, Drinking classification, Differential equations.

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