Identifying counties at risk of high overdose mortality burden during the emerging fentanyl epidemic in the USA: a predictive statistical modelling study

The Lancet Public Health - Tập 6 - Trang e720-e728 - 2021
Charles Marks1, Daniela Abramovitz2, Christl A Donnelly3,4, Gabriel Carrasco-Escobar5,6, Rocío Carrasco-Hernández2, Daniel Ciccarone7, Arturo González-Izquierdo8, Natasha K Martin5,9, Steffanie A Strathdee5, Davey M Smith5, Annick Bórquez5
1Interdisciplinary Research on Substance Use Joint Doctoral Program, San Diego State University and University of California, San Diego, CA, USA
2Department of Medicine, University of California San Diego, CA, USA
3Department of Statistics, University of Oxford, Oxford, UK
4MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
5Department of Medicine, University of California, San Diego, CA, USA
6Health Innovation Lab, Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima, Peru
7Department of Family and Community Medicine, University of California, San Francisco, CA, USA
8Institute of Health Informatics, University College London, London, UK
9Population Health Sciences, University of Bristol, Bristol, UK

Tài liệu tham khảo

Hedegaard Wilson, 2020, Drug and opioid-involved overdose deaths—United States, 2017–2018, MMWR Morb Mortal Wkly Rep, 69, 290, 10.15585/mmwr.mm6911a4 Ciccarone, 2017, Fentanyl in the US heroin supply: a rapidly changing risk environment, Int J Drug Policy, 46, 107, 10.1016/j.drugpo.2017.06.010 Ciccarone, 2017, Heroin uncertainties: exploring users' perceptions of fentanyl-adulterated and -substituted ‘heroin’, Int J Drug Policy, 46, 146, 10.1016/j.drugpo.2017.06.004 Ciccarone, 2019, The triple wave epidemic: supply and demand drivers of the US opioid overdose crisis, Int J Drug Policy, 71, 183, 10.1016/j.drugpo.2019.01.010 Jalal, 2018, Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016, Science, 361, 10.1126/science.aau1184 Kiang, 2019, Assessment of changes in the geographical distribution of opioid-related mortality across the United States by opioid type, 1999–2016, JAMA Netw Open, 2, 10.1001/jamanetworkopen.2019.0040 Jones, 2020, The evolving overdose epidemic: synthetic opioids and rising stimulant-related harms, Epidemiol Rev, 42, 154, 10.1093/epirev/mxaa011 Shover, 2020, Steep increases in fentanyl-related mortality west of the Mississippi River: recent evidence from county and state surveillance, Drug Alcohol Depend, 216, 10.1016/j.drugalcdep.2020.108314 Slavova, 2015, Drug overdose deaths: let's get specific, Public Health Rep, 130, 339, 10.1177/003335491513000411 Van Handel, 2016, County-level vulnerability assessment for rapid dissemination of HIV or HCV infections among persons who inject drugs, United States, J Acquir Immune Defic Syndr, 73, 323, 10.1097/QAI.0000000000001098 Monnat, 2019, Using Census data to understand county-level differences in overall drug mortality and opioid-related mortality by opioid type, Am J Public Health, 109, 1084, 10.2105/AJPH.2019.305136 Rossen, 2013, Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009, Am J Prev Med, 45, e19, 10.1016/j.amepre.2013.07.012 Haffajee, 2019, Characteristics of US counties with high opioid overdose mortality and low capacity to deliver medications for opioid use disorder, JAMA Netw Open, 2, 10.1001/jamanetworkopen.2019.6373 Robinson, 2020, Teaching yourself about structural racism will improve your machine learning, Biostatistics, 21, 339, 10.1093/biostatistics/kxz040 Om, 2018, The opioid crisis in black and white: the role of race in our nation's recent drug epidemic, J Public Health (Bangkok), 40, e614, 10.1093/pubmed/fdy103 Sumetsky, 2021, Predicting the future course of opioid overdose mortality: an example from two US states, Epidemiology, 32, 61, 10.1097/EDE.0000000000001264 Bates, 2015, Fitting linear mixed-effects models using lme4, J Stat Softw, 67, 1, 10.18637/jss.v067.i01 Beyene, 2009, Determining relative importance of variables in developing and validating predictive models, BMC Med Res Methodol, 9, 64, 10.1186/1471-2288-9-64 Rickles, 2018, Tennessee's in-state vulnerability assessment for a “rapid dissemination of Human Immunodeficiency Virus or Hepatitis C Virus infection” event utilizing data about the opioid epidemic, Clin Infect Dis, 66, 1722, 10.1093/cid/cix1079 Campo, 2020, Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches, PLoS One, 15, 10.1371/journal.pone.0243622 Lyle Cooper, 2020, Modeling dynamics of fatal opioid overdose by state and across time, Prev Med Rep, 20 Duncan, 2020, Monthly patient volumes of buprenorphine-waivered clinicians in the US, JAMA Netw Open, 3, 10.1001/jamanetworkopen.2020.14045 Volkow, 2020, Collision of the COVID-19 and addiction epidemics, Ann Intern Med, 173, 61, 10.7326/M20-1212 Becker, 2020, When epidemics collide: coronavirus disease 2019 (COVID-19) and the opioid crisis, Ann Intern Med, 173, 59, 10.7326/M20-1210 Rosenblum, 2020, The rapidly changing US illicit drug market and the potential for an improved early warning system: evidence from Ohio drug crime labs, Drug Alcohol Depend, 208, 10.1016/j.drugalcdep.2019.107779