Using geographic information systems to assess spatial patterns of drug use, selection bias and attrition among a sample of injection drug users

Drug and Alcohol Dependence

Volumn 50, Issue 2, 1998, Pages 167-175

  Latkin, Carl ^a   Glass, Gregory E ^a   Duncan, Terry ^b  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b OREGON RESEARCH INSTITUTE   (United States)

Author keywords

Acquired immunodeficiency syndrome; Attrition; Geographic information systems; Human immunodeficiency virus; Injection drug users; Neighborhood characteristics; Selection bias

Indexed keywords

COCAINE; DIAMORPHINE;

ADULT; ARTICLE; CITY; COMPUTER PROGRAM; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INFORMATION SYSTEM; INTRAVENOUS DRUG ABUSE; MAJOR CLINICAL STUDY; MALE; NEEDLE; PRIORITY JOURNAL; SEXUALLY TRANSMITTED DISEASE; UNITED STATES;

ADULT; BALTIMORE; CENSUSES; COCAINE-RELATED DISORDERS; CRACK COCAINE; FEMALE; HEALTH BEHAVIOR; HEALTH SERVICES ACCESSIBILITY; HEALTH SURVEYS; HEROIN DEPENDENCE; HIV INFECTIONS; HUMANS; INFORMATION SYSTEMS; LIKELIHOOD FUNCTIONS; MALE; MIDDLE AGED; PATIENT DROPOUTS; REGRESSION ANALYSIS; RESIDENCE CHARACTERISTICS; SAMPLING STUDIES; SELECTION BIAS; SOCIOECONOMIC FACTORS; SOFTWARE; SPACE-TIME CLUSTERING; SUBSTANCE ABUSE, INTRAVENOUS; URBAN HEALTH;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 0032052811     PISSN: 03768716     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0376-8716(98)00025-8     Document Type: Article

References (30)

1. Andes N., Davis J.E. Linking public health data using geographic information system techniques: Alaskan community characteristics and infant mortality. Stat. Med. 14(5-7):1995;481-490.
2. Barnard M.A. Needle sharing in context: patterns of sharing among men and women injectors and HIV risks. Addiction. 88:1993;805-812.
3. Barrera M. A method for assessing social support networks in community survey research. Connections. 3:1980;8-13.
4. Dembo R., Schmeidler J., Burgos W., Taylor R. Environmental setting and early drug involvement among inner-city junior high school youths. Int. J. Addict. 20(8):1985;1239-1255.
5. Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. R. Stat. Soc. B39:1977;1-38.
6. Duncan T.E., Duncan S.C., Hops H., Stoolmiller M. Analyzing longitudinal substance use data via generalized estimating equation methodology. Multivariate Behav. Res. 30:1995;317-339.
7. Ennett S.T., Flewelling R.L., Lindrooth R.C., Norton E.C. J. Health Soc. Behav. 38(1):1997;55-71.
8. Glass G.E., Schwartz B.S., Morgan J.M. III, Johnson D.T., Noy P.M., Israel E. Identifying environmental factors associated with Lyme disease using geographic information systems. Am. J. Public Health. 85(7):1995;944-948.
9. Graham, J.W., Hofer, S.M., MacKinnon, P., in press. Maximizing the usefulness of data obtained with planned missing value patterns: an application of maximum likelihood procedures. Multivariate Behav. Res.
10. Guthe W.G., Tucker R.K., Murphy E.A., England R., Stevenson E., Luckhardt J.C. Reassessment of lead exposure in New Jersey using GIS technology. Environ. Res. 59(2):1992;318-325.
11. Harries K. The ecology of homicide and assault: Baltimore City and County. 1989-91 Stud. Crime Crime Prev. 4(1):1995;44-60.
12. Hawkins J.D. Community characteristics associated with treatment outcome. Natl. Inst. Drug Abuse: Treat. Res. Monographs. 83-1281:1983;680-700.
13. Hightower A.W, Klein R.E. Building a geographic information system (GIS) public health infrastructure for research and control of tropical diseases. Emerging Infect. Dis. 1(4):1995;156-157.
14. Kosten T.R., Gawin F.H., Rounsaville B.J., Kleber H.D. Cocaine abuse among opioid addicts: Demographic and diagnostic factors in treatment. Am. J. Drug Alcohol Abuse. 12(1-2):1986;1-16.
15. Lambert, E. (Ed.), 1990. The collection and interpretation of data from hidden populations (Monograph), Natl. Inst. Drug Addict. 98.
16. Latkin C., Mandell W., Oziemkowska M., Vlahov D., Celentano D. The relationships between sexual behavior, alcohol use and personal network characteristics among injecting drug users in Baltimore, MD. Sex. Transm. Dis. 21(3):1994;161-167.
17. Latkin C.A., Mandell W., Oziemkowska M., Celentano D.D., Vlahov D., Ensminger M. Using social network analysis to study patterns of drug use among urban drug users at high risk for HIV/AIDS. Drug Alcohol Depend. 38:1995;1-9.
18. Lillie-Blanton M., Anthony J.C., Schuster C.R. Probing the meaning of racial/ethnic group comparisons in crack cocaine smoking. J. Am. Med. Assoc. 269(8):1993;993-997.
19. Link B.G., Phelan J.C. Editorial: Understanding sociodemographic differences in health - The role of fundamental causes. Am. J. Public Health. 86(4):1996;471-473.
20. Little R.J.A, Rubin D.B. The analysis of social science data with missing data. Sociol. Methods Res. 18:1989;292-326.
21. Rogers D.J., Williams B.G. Monitoring trypanosomiasis in space and time. Parasitology. 106:1993;77-92.
22. Rounsaville B.J., Kleber H.D. Untreated opiate addicts: how do they differ from those seeking treatment? Arch. Gen. Psychiatry. 42(11):1985;1072-1077.
23. Scribner, R.A, MacKinnon, D.P., Dwyer, J.H., 1995. Geographic risk of violence associated with alcohol outlets in Los Angeles County cities. Paper presented at the CDC Symposium on Statistical Methods: Small Area Statistics in Public Health, Atlanta, GA.
24. Smart R.G., Adlaf E.M., Walsh G.W. Neighborhood socio- economic factors in relation to student drug use and programs. J. Child Adolesc. Subst. Abuse. 3(1):1994;37-46.
25. Su M.D., Chang N.T. Framework for application of geographic information system to the monitoring of dengue vectors. Kaohsiung J. Med. Sci. 10:1994;94-101.
26. Suh T., Mandell W., Latkin C., Kim J. Social network characteristics and injecting HIV-risk behaviors among street injection drug users. Drug Alcohol Depend. 47:1997;137-143.
27. van Oers J.A., Garretsen H.F. The geographic relationship between alcohol use, bars, liquor shops and traffic injuries in Rotterdam. J. Studies Alcohol. 54(6):1993;739-744.
28. Vlahov D., Muoz A., Anthony J.C., Cohn S., Celentano D.D., Nelson K.E. Association of drug injection patterns with antibody to human immunodeficiency virus type 1 among intravenous drug users in Baltimore, Maryland. Am. J. Epidemiol. 132:1990;847-855.
29. Wing S., Casper M., Davis W., Hayes C., Riggan W., Tyroler H.A. Trends in the geographic inequality of cardiovascular disease mortality in the United States. Soc. Sci. Med. 30(3):1990;261-266.
30. Zeger S.L., Liang K.Y. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 42:1986;121-130.