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Articles

Assessing Spatial Relationships between Prescription Drugs, Race, and Overdose in New York State from 2013 to 2015

, MPH, M.Sc., , Ph.D., , Ph.D., , Ph.D., , ED.D & , Ph.D.
Pages 360-370 | Received 27 Feb 2018, Accepted 08 Nov 2018, Published online: 05 May 2019

References

  • Alexander, M. J., M. V. Kiang, and M. Barbieri. 2018. Trends in black and white opioid mortality in the United States, 1979–2015. Epidemiology (Cambridge, Mass.) 29 (5):707.
  • Anselin, L. 1988. Spatial econometrics: methods and models, 22–23. Dordrecht, The Netherlands: Kluwer Academic Publishers.
  • Anselin, L. 1990. Some robust approaches to testing and estimation in spatial econometrics. Regional Science and Urban Economics 20 (2):141–63.
  • Anselin, L. 1993. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. Morgantown: Regional Research Institute, West Virginia University.
  • Anselin, L. 1995. Local indicators of spatial association - LISA. Geographical Analysis 27:93–115.
  • Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In Spatial analytical perspectives on GIS in environmental and socio-economic sciences, ed. M. Fischer, H. Scholten, and D. Unwin, 111–25. London: Taylor and Francis.
  • Anselin, L. 1999. Interactive techniques and exploratory spatial data analysis. Geographical Information Systems: Principles, Techniques, Management and Applications 1:251–64.
  • Anselin, L. (2014). Modern spatial econometrics in practice: A guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press.
  • Anselin, L., and A. Getis. 1992. Spatial statistical analysis and geographic information systems. The Annals of Regional Science 26 (1):19–33.
  • Anselin, L., A. K. Bera, R. Florax, and M. J. Yoon. 1996. Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics 26 (1):77–104.
  • Anselin, L., I. Syabri, and Y. Kho. 2006a. GeoDa: An introduction to spatial data analysis. Geographical Analysis 38 (1):5–22.
  • Anselin, L., N. Lozano, and J. Koschinsky. 2006b. Rate transformations and smoothing. Urbana 51:61801.
  • Anselin, L., Y. W. Kim, and I. Syabri. forthcoming. Web-based analytical tools for the exploration of spatial data. Journal of Geographical Systems For more details on EB smoother, also see.
  • Assuncao, R., and E. A. Reis. 1999. A new proposal to adjust Moran’s I for population density. Statistics in Medicine 18:2147–61.
  • Bailey, T. C., and A. C. Gatrell. 1995. Interactive Spatial Data Analysis, 303–08. New York, NY: John Wiley and Sons.
  • Bivand, R., M. Altman, L. Anselin, R. Assunçao, O. Berke, A. Bernat, … C. Dormann (2011). spdep: Spatial dependence: Weighting schemes, statistics and models. R package version 0.5–65. http://cran.rproject.org/web/packages/spdep/spdep.pdf.
  • Bivand, R., W. G. Müller, and M. Reder. 2009. Power calculations for global and local Moran’s I. Computational Statistics & Data Analysis 53 (8):2859–72.
  • Brownstein, J. S., T. C. Green, T. A. Cassidy, and S. F. Butler. 2010. Geographic information systems and pharmacoepidemiology: Using spatial cluster detection to monitor local patterns of prescription opioid abuse. Pharmacoepidemiology and Drug Safety 19 (6):627–37.
  • Bryant, W. K., S. Galea, M. Tracy, T. Markham Piper, K. J. Tardiff, and D. Vlahov. 2004. Overdose deaths attributed to methadone and heroin in New York City, 1990–1998. Addiction 99 (7):846–54.
  • Census Bureau American Community Survey. 2015. 5-year estimates.
  • Cerdá, M., A. Gaidus, K. M. Keyes, W. Ponicki, S. Martins, S. Galea, and P. Gruenewald. 2017. Prescription opioid poisoning across urban and rural areas: Identifying vulnerable groups and geographic areas. Addiction 112 (1):103–12.
  • Cerdá, M., Y. Ransome, K. M. Keyes, K. C. Koenen, K. Tardiff, D. Vlahov, and S. Galea. 2013. Revisiting the role of the urban environment in substance use: The case of analgesic overdose fatalities. American Journal of Public Health 103 (12):2252–60.
  • Cliff, A. D., and J. K. Ord. 1981. Spatial Processes Models and Applications, 203. Pion. Thousand Oaks, CA: SAGE.
  • Compton, W. M., C. M. Jones, and G. T. Baldwin. 2016. Relationship between nonmedical prescription-opioid use and heroin use. New England Journal of Medicine 374 (2):154–63.
  • Compton, W. M., M. Boyle, and E. Wargo. 2015. Prescription opioid abuse: Problems and responses. Preventive Medicine 80:5–9.
  • Control, Disease, National Prevention, Injury Prevention, and Division Control (2016). https://www.cdc.gov/drugoverdose/states/index.html.
  • Cressie, N. 2015. Statistics for spatial data. Hoboken, NJ: John Wiley & Sons.
  • Davis, C. S., and D. Carr. 2015a. Legal changes to increase access to naloxone for opioid overdose reversal in the United States. Drug & Alcohol Dependence 157:112–20.
  • Davis, C. S., D. Carr, J. K. Southwell, and L. Beletsky. 2015b. Engaging law enforcement in overdose reversal initiatives: Authorization and liability for naloxone administration. American Journal of Public Health 105 (8):1530–37.
  • DiMaggio, C. J., A. Bucciarelli, K. J. Tardiff, D. Vlahov, and S. Galea. 2008. Spatial analytic approaches to explaining the trends and patterns of drug overdose deaths. In Geography and drug addiction, ed. Y. Thomas, D. Richardson, and I. Cheung, 447–64. New York, Dordrecht: Springer.
  • Dong, G., and R. Harris. 2015. Spatial autoregressive models for geographically hierarchical data structures. Geographical Analysis 47 (2):173–91.
  • Dorling, D. 1996. Area cartograms: Their use and creation. CATMOG 59. Institute of British Geographers.
  • Drug Enforcement Agency. High Intensity Drug Trafficking Areas (HIDTA) (2018). https://www.dea.gov/hidta.
  • Dworkis, D. A., S. G. Weiner, D. Rabickow, V. T. Liao, and S. A. Goldberg. 2017. 252 geospatial analysis of opioid overdose-related emergency medical service calls for targeting public health interventions. Annals of Emergency Medicine 70 (4):S100.
  • Getis, A. 2007. Reflections on spatial autocorrelation. Regional Science and Urban Economics 37 (4):491–96.
  • Getis, A., and J. K. Ord. 1996. Local spatial statistics: An overview. Spatial Analysis: Modelling in a GIS Environment 374:261–77.
  • Gladden, R. M. 2016. Fentanyl law enforcement submissions and increases in synthetic opioid–Involved overdose deaths—27 states, 2013–2014. MMWR. Morbidity and Mortality Weekly Report 65.
  • Havens, J. R., R. Walker, and C. G. Leukefeld. 2008. Prescription opioid use in the rural Appalachia: A community-based study. Journal of Opioid Management 4 (2):63–71.
  • Hedegaard, H., M. Warner, and A. M. Miniño. 2017. Drug overdose deaths in the United States, 1999–2015. NCHS data brief, no 273. Hyattsville, MD: National Center for Health Statistics.
  • Jarque, C. M., and A. K. Bera. 1980. Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters 6 (3):255–59.
  • Keyes, K. M., M. Cerdá, J. E. Brady, J. R. Havens, and S. Galea. 2014. Understanding the rural–Urban differences in nonmedical prescription opioid use and abuse in the United States. American Journal of Public Health 104 (2):e52–e59.
  • King, N. B., V. Fraser, C. Boikos, R. Richardson, and S. Harper. 2014. Determinants of increased opioid-related mortality in the United States and Canada, 1990–2013: A systematic review. American Journal of Public Health 104 (8):e32–e42.
  • Mazumdar, S., S. I. Mcrae, and M. Mofizul Islam. 2015. How can geographical information systems and spatial analysis inform a response to prescription opioid misuse? A discussion in the context of existing literature. Current Drug Abuse Reviews 8 (2):104–10.
  • McDonald, D. C., K. Carlson, and D. Izrael. 2012. Geographic variation in opioid prescribing in the US. The Journal of Pain 13 (10):988–96.
  • McDonald, D. C., and K. E. Carlson. 2014. The ecology of prescription opioid abuse in the USA: Geographic variation in patients‘ use of multiple prescribers (“doctor shopping”). Pharmacoepidemiology and Drug Safety 23 (12):1258–67.
  • Modarai, F., K. Mack, P. Hicks, S. Benoit, S. Park, C. Jones, … L. Paulozzi. 2013. Relationship of opioid prescription sales and overdoses, North Carolina. Drug and Alcohol Dependence 132 (1):81–86.
  • Multiple Cause of Death 1999–2017 on CDC Wide-ranging Online Data for Epidemiologic Research (CDC WONDER). Atlanta, GA: CDC, National Center for Health Statistics. 2018. Available at http://wonder.cdc.gov.
  • Moran, P. A. 1950. Notes on continuous stochastic phenomena. Biometrika 37 (1/2):17–23.
  • Murray, A. T., I. McGuffog, J. S. Western, and P. Mullins. 2001. Exploratory spatial data analysis techniques for examining urban crime: Implications for evaluating treatment. British Journal of Criminology 41 (2):309–29.
  • Nargiso, J. E., E. L. Ballard, and M. R. Skeer. 2015. A systematic review of risk and protective factors associated with nonmedical use of prescription drugs among youth in the United States: A social ecological perspective. Journal of Studies on Alcohol and Drugs 76 (1):5–20.
  • New York State. 2015. Geographic information system clearinghouse. https://gis.ny.gov/NYSDOH About Opioid Related Data in New York State https://www.health.ny.gov/statistics/opioid/aboutopioids.htm#pmp.
  • New York State Department of Health. 2016a. Opioid Information Program. https://www.health.ny.gov/statistics/opioid/.
  • New York State Department of Health. 2016b. Vital statistics program chronic disease teaching tools vital records. https://www.health.ny.gov/diseases/chronic/vrmdata.htm.
  • New York State Department of Health. Categorization of External Cause of Injury Codes Used to Present Injury Morbidity By the New York State Department of Health (2017). https://www.health.ny.gov/statistics/prevention/injury_prevention/docs/sparcs_codes.pdf.
  • Paone, D., E. Tuazon, J. Kattan, M. L. Nolan, D. B. O‘Brien, D. Dowell, … H. V. Kunins. 2015. Decrease in rate of opioid analgesic overdose deaths—Staten Island, New York City, 2011–2013. MMWR Morb Mortal Wkly Rep 64 (18):491–94.
  • Paulozzi, L. J., D. S. Budnitz, and Y Xi. 2006. Increasing deaths from opioid analgesics in the United States. Pharmacoepidemiology and Drug Safety 15 (9):618–627. doi:10.1002/pds.v15:9.
  • Paulozzi, L. J., E. M. Kilbourne, and H. A. Desai. 2011. Prescription drug monitoring programs and death rates from drug overdose. Pain Medicine 12 (5):747–54.
  • Rigg, K. K., and S. M. Monnat. 2015. Urban vs. rural differences in prescription opioid misuse among adults in the United States: Informing region specific drug policies and interventions. International Journal of Drug Policy 26 (5):484–91.
  • Ringwalt, C., C. Sanford, N. Dasgupta, A. Alexandridis, A. McCort, S. Proescholdbell, … K. Mack. 2018. Community readiness to prevent opioid overdose. Health Promotion Practice 19:1524839918756887.
  • Rossen, L. M., D. Khan, and M. Warner. 2014. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health & Place 26:14–20.
  • Rowe, C., G-M., Santos, E. Vittinghoff, E. Wheeler, P. Davidson, and P. O. Coffin. 2016. Neighborhood-level and spatial characteristics associated with lay naloxone reversal events and opioid overdose deaths. Journal Of Urban Health 93 (1):117–130. doi:10.1007/s11524-015-0023-8.
  • Rudd, R. A. 2016. Increases in drug and opioid-involved overdose deaths—United States, 2010–2015. MMWR. Morbidity and Mortality Weekly Report. 65.
  • Scholl, L., P. Seth, M. Kariisa, N. Wilson, and G Baldwin. 2019. Drug and opioid-involved overdose deaths—united states, 2013–2017. Morbidity and Mortality Weekly Report 67 (5152):1419–1427. doi:10.15585/mmwr.mm6751521e1.
  • Sgarlato, A. 2015. Prescription opioid related deaths in New York City: A 2 year retrospective analysis prior to the introduction of the New York State I-STOP law. Forensic Science, Medicine, and Pathology 11 (3):388–94.
  • Stewart, K., Y. Cao, M. H. Hsu, E. Artigiani, and E. Wish. 2017. Geospatial analysis of drug poisoning deaths involving heroin in the USA, 2000–2014. Journal of Urban Health 94 (4):572–86.
  • Tsai, P. J., M. L. Lin, C. M. Chu, and C. H. Perng. 2009. Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006. BMC Public Health 9 (1):464.
  • United States Census Bureau. 2016. www.census.gov.
  • White, H. 1982. Maximum likelihood estimation of misspecified models. Econometrica: Journal of the Econometric Society 1–25.
  • Young, A. M., J. R. Havens, and C. G. Leukefeld. 2012. A comparison of rural and urban nonmedical prescription opioid users’ lifetime and recent drug use. The American Journal of Drug and Alcohol Abuse 38 (3):220–27.
  • Zhang, T., and G. Lin. 2008. Identification of local clusters for count data: A model-based Moran‘s I test. Journal of Applied Statistics 35 (3):293–306.

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