Influence of environmental factors on college alcohol drinking patterns
Alcohol abuse is a major problem, especially among students on and around college campuses. We use the mathematical framework of [16] and study the role of environmental factors on the long term dynamics of an alcohol drinking population. Sensitivity and uncertainty analyses are carried out on the...
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| Format: | Article |
| Language: | English |
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AIMS Press
2013-07-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.1281 |
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| author | Ridouan Bani Rasheed Hameed Steve Szymanowski Priscilla Greenwood Christopher M. Kribs-Zaleta Anuj Mubayi |
| author_facet | Ridouan Bani Rasheed Hameed Steve Szymanowski Priscilla Greenwood Christopher M. Kribs-Zaleta Anuj Mubayi |
| author_sort | Ridouan Bani |
| collection | DOAJ |
| description | Alcohol abuse is a major problem, especially among students on and around college campuses. We use the mathematical framework of [16] and study the role of environmental factors on the long term dynamics of an alcohol drinking population. Sensitivity and uncertainty analyses are carried out on the relevant functions (for example, on the drinking reproduction number and the extinction time of moderate and heavy drinking because of interventions) to understand the impact of environmental interventions on the distributions of drinkers.The reproduction number helps determine whether or not the high-risk alcohol drinking behavior will spread and become persistent in the population, whereas extinction time of high-risk drinking measures the effectiveness of control programs. We found that the reproduction number is most sensitive to social interactions, while the time to extinction of high-risk drinkers is significantly sensitive to the intervention programs that reduce initiation, and the college drop-out rate. The results also suggest that in a population, higher rates of intervention programs in low-risk environments (more than intervention rates in high-risk environments) are needed to reduce heavy drinking in the population. |
| format | Article |
| id | doaj-art-b68ae524505d409f800e40bd71ddb0a1 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2013-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-b68ae524505d409f800e40bd71ddb0a12025-01-24T02:26:34ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-07-01105&61281130010.3934/mbe.2013.10.1281Influence of environmental factors on college alcohol drinking patternsRidouan Bani0Rasheed Hameed1Steve Szymanowski2Priscilla Greenwood3Christopher M. Kribs-Zaleta4Anuj Mubayi5Department of Mathematics, Northeastern Illinois University, 5500 N. St. Louis Ave, Chicago, IL 60625-4699Department of Mathematics, Northeastern Illinois University, 5500 N. St. Louis Ave, Chicago, IL 60625-4699Department of Mathematics, Northeastern Illinois University, 5500 N. St. Louis Ave, Chicago, IL 60625-4699Department of Mathematics, University of British Columbia, 1209 Math Annex, Vancouver, BC V6T 1Z2Mathematics Department, University of Texas at Arlington, Box 19408, Arlington, TX 76019-0408Department of Mathematics, Northeastern Illinois University, 5500 N. St. Louis Ave, BBH 214A, Chicago, IL 60625-4699Alcohol abuse is a major problem, especially among students on and around college campuses. We use the mathematical framework of [16] and study the role of environmental factors on the long term dynamics of an alcohol drinking population. Sensitivity and uncertainty analyses are carried out on the relevant functions (for example, on the drinking reproduction number and the extinction time of moderate and heavy drinking because of interventions) to understand the impact of environmental interventions on the distributions of drinkers.The reproduction number helps determine whether or not the high-risk alcohol drinking behavior will spread and become persistent in the population, whereas extinction time of high-risk drinking measures the effectiveness of control programs. We found that the reproduction number is most sensitive to social interactions, while the time to extinction of high-risk drinkers is significantly sensitive to the intervention programs that reduce initiation, and the college drop-out rate. The results also suggest that in a population, higher rates of intervention programs in low-risk environments (more than intervention rates in high-risk environments) are needed to reduce heavy drinking in the population.https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.1281time to extinctioncritical community sizealcohol intervention programs.social interactionsalcohol drinkingdrinking environments |
| spellingShingle | Ridouan Bani Rasheed Hameed Steve Szymanowski Priscilla Greenwood Christopher M. Kribs-Zaleta Anuj Mubayi Influence of environmental factors on college alcohol drinking patterns Mathematical Biosciences and Engineering time to extinction critical community size alcohol intervention programs. social interactions alcohol drinking drinking environments |
| title | Influence of environmental factors on college alcohol drinking patterns |
| title_full | Influence of environmental factors on college alcohol drinking patterns |
| title_fullStr | Influence of environmental factors on college alcohol drinking patterns |
| title_full_unstemmed | Influence of environmental factors on college alcohol drinking patterns |
| title_short | Influence of environmental factors on college alcohol drinking patterns |
| title_sort | influence of environmental factors on college alcohol drinking patterns |
| topic | time to extinction critical community size alcohol intervention programs. social interactions alcohol drinking drinking environments |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2013.10.1281 |
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