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Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019
PURPOSE: Since 2012 fentanyl-detected fatal overdoses have risen from 4% of all fatal overdoses in Connecticut to 82% in 2019. We aimed to investigate the geographic and temporal trends in fentanyl-detected deaths in Connecticut during 2009–2019. METHODS: Data on the dates and locations of accidenta...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163838/ https://www.ncbi.nlm.nih.gov/pubmed/36669599 http://dx.doi.org/10.1016/j.annepidem.2023.01.009 |
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author | Lu, Haidong Crawford, Forrest W. Gonsalves, Gregg S. Grau, Lauretta E. |
author_facet | Lu, Haidong Crawford, Forrest W. Gonsalves, Gregg S. Grau, Lauretta E. |
author_sort | Lu, Haidong |
collection | PubMed |
description | PURPOSE: Since 2012 fentanyl-detected fatal overdoses have risen from 4% of all fatal overdoses in Connecticut to 82% in 2019. We aimed to investigate the geographic and temporal trends in fentanyl-detected deaths in Connecticut during 2009–2019. METHODS: Data on the dates and locations of accidental/undetermined opioid-detected fatalities were obtained from Connecticut Office of the Chief Medical Examiner. Using a Bayesian space-time binomial model, we estimated spatiotemporal trends in the proportion of fentanyl-detected deaths. RESULTS: During 2009–2019, a total of 6,632 opioid deaths were identified. Among these, 3234 (49%) were fentanyl-detected. The modeled spatial patterns suggested that opioid deaths in northeastern Connecticut had higher probability of being fentanyl-detected, while New Haven and its neighboring towns and the southwestern region of Connecticut, primarily Greenwich, had a lower risk. Model estimates also suggested fentanyl-detected deaths gradually overtook the preceding non-fentanyl opioid-detected deaths across Connecticut. The estimated temporal trend showed the probability of fentanyl involvement increased substantially since 2014. CONCLUSIONS: Our findings suggest that geographic variation exists in the probability of fentanyl-detected deaths, and areas at heightened risk are identified. Further studies are warranted to explore potential factors contributing to the geographic heterogeneity and continuing dispersion of fentanyl-detected deaths in Connecticut. |
format | Online Article Text |
id | pubmed-10163838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-101638382023-05-06 Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 Lu, Haidong Crawford, Forrest W. Gonsalves, Gregg S. Grau, Lauretta E. Ann Epidemiol Article PURPOSE: Since 2012 fentanyl-detected fatal overdoses have risen from 4% of all fatal overdoses in Connecticut to 82% in 2019. We aimed to investigate the geographic and temporal trends in fentanyl-detected deaths in Connecticut during 2009–2019. METHODS: Data on the dates and locations of accidental/undetermined opioid-detected fatalities were obtained from Connecticut Office of the Chief Medical Examiner. Using a Bayesian space-time binomial model, we estimated spatiotemporal trends in the proportion of fentanyl-detected deaths. RESULTS: During 2009–2019, a total of 6,632 opioid deaths were identified. Among these, 3234 (49%) were fentanyl-detected. The modeled spatial patterns suggested that opioid deaths in northeastern Connecticut had higher probability of being fentanyl-detected, while New Haven and its neighboring towns and the southwestern region of Connecticut, primarily Greenwich, had a lower risk. Model estimates also suggested fentanyl-detected deaths gradually overtook the preceding non-fentanyl opioid-detected deaths across Connecticut. The estimated temporal trend showed the probability of fentanyl involvement increased substantially since 2014. CONCLUSIONS: Our findings suggest that geographic variation exists in the probability of fentanyl-detected deaths, and areas at heightened risk are identified. Further studies are warranted to explore potential factors contributing to the geographic heterogeneity and continuing dispersion of fentanyl-detected deaths in Connecticut. 2023-03 2023-01-18 /pmc/articles/PMC10163838/ /pubmed/36669599 http://dx.doi.org/10.1016/j.annepidem.2023.01.009 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Lu, Haidong Crawford, Forrest W. Gonsalves, Gregg S. Grau, Lauretta E. Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title | Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title_full | Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title_fullStr | Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title_full_unstemmed | Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title_short | Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019 |
title_sort | geographic and temporal trends in fentanyl-detected deaths in connecticut, 2009–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163838/ https://www.ncbi.nlm.nih.gov/pubmed/36669599 http://dx.doi.org/10.1016/j.annepidem.2023.01.009 |
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