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The role of mathematical modelling in aiding public health policy decision-making: A case study of the BC opioid overdose emergency.
Irvine, Michael A; McGowan, Regina; Hammond, Kendall; Davison, Carolyn; Coombs, Daniel; Gilbert, Mark.
Afiliación
  • Irvine MA; Institute of Applied Mathematics, University of British Columbia, 1984 Mathematics Road, Vancouver, BC V6T 1Z2, Canada; British Columbia Centre for Disease Control, 655W 12th Avenue, Vancouver, BC V5Z 4R4, Canada; Ministry of Mental Health and Addictions, PO Box 9672 Stn Prov Govt, Victoria, BC V8W
  • McGowan R; Ministry of Mental Health and Addictions, PO Box 9672 Stn Prov Govt, Victoria, BC V8W 9P6, Canada. Electronic address: gina.mcgowan@gov.bc.ca.
  • Hammond K; Ministry of Mental Health and Addictions, PO Box 9672 Stn Prov Govt, Victoria, BC V8W 9P6, Canada.
  • Davison C; Ministry of Mental Health and Addictions, PO Box 9672 Stn Prov Govt, Victoria, BC V8W 9P6, Canada.
  • Coombs D; Institute of Applied Mathematics, University of British Columbia, 1984 Mathematics Road, Vancouver, BC V6T 1Z2, Canada.
  • Gilbert M; British Columbia Centre for Disease Control, 655W 12th Avenue, Vancouver, BC V5Z 4R4, Canada.
Int J Drug Policy ; 88: 102603, 2021 02.
Article en En | MEDLINE | ID: mdl-31753602
The province of British Columbia is currently experiencing the highest rate of apparent opioid-related deaths within Canada. This dramatic increase in overdose deaths has been primarily driven by the increase of fentanyl and fentanyl-analogues within the unregulated, highly unpredictable and toxic street drug supply. A public health emergency was declared in B.C. in April 2016. After the emergency was declared, overdose-related death rates continued to rise, reaching unprecedented levels. In the context of enhanced collaboration between government organizations and researchers, a series of mathematical studies improved the ability of government and service providers to understand the impact of scaled-up strategies, including harm reduction and treatment services. In this commentary we describe how government agencies collaborated with researchers and other experts to use modelling results, and describe lessons learned for enhancing these collaborations. Mathematical modelling provides a viable and timely approach to the generation of intelligence, combining disparate data to assess the on-going impact of a comprehensive package of interventions during a public health emergency, and enhancing accountability for investments.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sobredosis de Droga / Sobredosis de Opiáceos / Trastornos Relacionados con Opioides Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Int J Drug Policy Asunto de la revista: SAUDE PUBLICA / TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sobredosis de Droga / Sobredosis de Opiáceos / Trastornos Relacionados con Opioides Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Int J Drug Policy Asunto de la revista: SAUDE PUBLICA / TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos