Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-02-01
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| Series: | Frontiers in Applied Mathematics and Statistics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fams.2019.00006/full |
| _version_ | 1818560307287556096 |
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| author | Sharon Moore Ami Radunskaya Elizabeth Zollinger Kathleen A. Grant Steven Gonzales Erich J. Baker |
| author_facet | Sharon Moore Ami Radunskaya Elizabeth Zollinger Kathleen A. Grant Steven Gonzales Erich J. Baker |
| author_sort | Sharon Moore |
| collection | DOAJ |
| description | 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 monkey'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 level (light, binge, heavy, or very heavy), thus correlating an individual monkey's parameters with distinct long term drinking classifications. |
| first_indexed | 2024-12-14T00:36:49Z |
| format | Article |
| id | doaj.art-48f8e7bd8dc0458c976d71c19f5607bb |
| institution | Directory Open Access Journal |
| issn | 2297-4687 |
| language | English |
| last_indexed | 2024-12-14T00:36:49Z |
| publishDate | 2019-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Applied Mathematics and Statistics |
| spelling | doaj.art-48f8e7bd8dc0458c976d71c19f5607bb2022-12-21T23:24:36ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872019-02-01510.3389/fams.2019.00006407939Time for a Drink? A Mathematical Model of Non-human Primate Alcohol ConsumptionSharon Moore0Ami Radunskaya1Elizabeth Zollinger2Kathleen A. Grant3Steven Gonzales4Erich J. Baker5Department of Computer Science, Bioinformatics, Baylor University, Waco, TX, United StatesDepartment of Mathematics, Pomona College, Claremont, CA, United StatesDepartment of Mathematics and Computer Science, St. Joseph's College, Brooklyn, NY, United StatesOregon Health & Science University, Portland, OR, United StatesOregon Health & Science University, Portland, OR, United StatesDepartment of Computer Science, Bioinformatics, Baylor University, Waco, TX, United StatesWe 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 monkey'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 level (light, binge, heavy, or very heavy), thus correlating an individual monkey's parameters with distinct long term drinking classifications.https://www.frontiersin.org/article/10.3389/fams.2019.00006/fullmathematical modeldrinking classificationMarkov processstochasticmodel fittingalcohol consumption |
| spellingShingle | Sharon Moore Ami Radunskaya Elizabeth Zollinger Kathleen A. Grant Steven Gonzales Erich J. Baker Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption Frontiers in Applied Mathematics and Statistics mathematical model drinking classification Markov process stochastic model fitting alcohol consumption |
| title | Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption |
| title_full | Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption |
| title_fullStr | Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption |
| title_full_unstemmed | Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption |
| title_short | Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption |
| title_sort | time for a drink a mathematical model of non human primate alcohol consumption |
| topic | mathematical model drinking classification Markov process stochastic model fitting alcohol consumption |
| url | https://www.frontiersin.org/article/10.3389/fams.2019.00006/full |
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