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Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England
For the past two decades, the USA has been embroiled in a growing prescription drug epidemic. The ripples of this epidemic have been especially apparent in the state of Maine, which has fought hard to mitigate the damage caused by addiction to pharmaceutical and illicit opioids. In this study, we co...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122875/ https://www.ncbi.nlm.nih.gov/pubmed/37088864 http://dx.doi.org/10.1007/s11538-023-01148-1 |
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author | Butler, Cole Stechlinski, Peter |
author_facet | Butler, Cole Stechlinski, Peter |
author_sort | Butler, Cole |
collection | PubMed |
description | For the past two decades, the USA has been embroiled in a growing prescription drug epidemic. The ripples of this epidemic have been especially apparent in the state of Maine, which has fought hard to mitigate the damage caused by addiction to pharmaceutical and illicit opioids. In this study, we construct a mathematical model of the opioid epidemic incorporating novel features important to better understanding opioid abuse dynamics. These features include demographic differences in population susceptibility, general transmission expressions, and combined consideration of pharmaceutical opioid and heroin abuse. We demonstrate the usefulness of this model by calibrating it with data for the state of Maine. Model calibration is accompanied by sensitivity and uncertainty analysis to quantify potential error in parameter estimates and forecasts. The model is analyzed to determine the mechanisms most influential to the number of opioid abusers and to find effective ways of controlling opioid abuse prevalence. We found that the mechanisms most influential to the overall number of abusers in Maine are those involved in illicit pharmaceutical opioid abuse transmission. Consequently, preventative strategies that controlled for illicit transmission were more effective over alternative approaches, such as treatment. These results are presented with the hope of helping to inform public policy as to the most effective means of intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-023-01148-1. |
format | Online Article Text |
id | pubmed-10122875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101228752023-04-24 Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England Butler, Cole Stechlinski, Peter Bull Math Biol Original Article For the past two decades, the USA has been embroiled in a growing prescription drug epidemic. The ripples of this epidemic have been especially apparent in the state of Maine, which has fought hard to mitigate the damage caused by addiction to pharmaceutical and illicit opioids. In this study, we construct a mathematical model of the opioid epidemic incorporating novel features important to better understanding opioid abuse dynamics. These features include demographic differences in population susceptibility, general transmission expressions, and combined consideration of pharmaceutical opioid and heroin abuse. We demonstrate the usefulness of this model by calibrating it with data for the state of Maine. Model calibration is accompanied by sensitivity and uncertainty analysis to quantify potential error in parameter estimates and forecasts. The model is analyzed to determine the mechanisms most influential to the number of opioid abusers and to find effective ways of controlling opioid abuse prevalence. We found that the mechanisms most influential to the overall number of abusers in Maine are those involved in illicit pharmaceutical opioid abuse transmission. Consequently, preventative strategies that controlled for illicit transmission were more effective over alternative approaches, such as treatment. These results are presented with the hope of helping to inform public policy as to the most effective means of intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-023-01148-1. Springer US 2023-04-23 2023 /pmc/articles/PMC10122875/ /pubmed/37088864 http://dx.doi.org/10.1007/s11538-023-01148-1 Text en © The Author(s), under exclusive licence to Society for Mathematical Biology 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Butler, Cole Stechlinski, Peter Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title | Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title_full | Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title_fullStr | Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title_full_unstemmed | Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title_short | Modeling Opioid Abuse: A Case Study of the Opioid Crisis in New England |
title_sort | modeling opioid abuse: a case study of the opioid crisis in new england |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122875/ https://www.ncbi.nlm.nih.gov/pubmed/37088864 http://dx.doi.org/10.1007/s11538-023-01148-1 |
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