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Frontiers in Applied Mathematics
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Quantitative Psychology and Measurement

Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Appl. Math. Stat. | doi: 10.3389/fams.2019.00006

Time for a Drink? A Mathematical Model of Non-Human Primate Alcohol Consumption

  • 1Baylor University, United States
  • 2Oregon Health & Science University, United States
  • 3St. Joseph's College, United States
  • 4Pomona College, United States

We simulate a non-human primate's alcohol drinking pattern in order to better understand temporal patterning of alcoholic drinks that can lead to the excessive intakes associated with alcohol use disorder. A stochastic mathematical model of alcohol consumption pattern is developed, where model parameters are calibrated to an individual's drinking history. The model predicts a time series that simulates a monkey's alcohol intake in time, and we analyze this drinking pattern to understand the variations in day and night drinking, the lengths of drinks (intake in 5 or more consecutive secs), and lengths of bouts (1 or more drinks per 5 min occasion). This time series can predict a lifetime categorical drinking levels (light, binge, heavy, or very heavy), thus correlating an individual's parameters with distinct long term drinking classifications.

Keywords: mathematical, Model, Drinking, Classification, Markov, process

Received: 13 Jun 2018; Accepted: 21 Jan 2019.

Edited by:

Elisa Pedroli, Istituto Auxologico Italiano (IRCCS), Italy

Reviewed by:

Richard S. John, University of Southern California, United States
Antonio Calcagnì, University of Padova, Italy  

Copyright: © 2019 Moore, Baker, Grant, Gonzales, Zollinger and Radunskaya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Erich Baker, Baylor University, Waco, United States, Erich_Baker@baylor.edu