Log in

Assessing Spatial Relationships Between Rates of Crime and Rates of Gonorrhea and Chlamydia in Chicago, 2012

  • Published:
Journal of Urban Health Aims and scope Submit manuscript

Abstract

Sexually transmitted infections (STIs) remain serious public health problems particularly in urban environments in the USA. Despite accumulating research into the role of aggregate rates of crime in sha** rates of STIs, few studies account for spatial dependence in the structure of geographical data. Using multiple spatial analysis methodologies, the following study investigated spatial patterns in community area rates of violent, drug, and property crimes and rates of infection of gonorrhea and chlamydia in 77 community areas in Chicago. Moran’s I analyses confirmed global spatial dependence and statistically significant clusters of STI. Spatial lag regression analyses found that greater rates of drug crimes were associated with higher rates of chlamydia and gonorrhea after adjusting for percent in poverty and racial composition. Finally, a weighted geographic regression identified regions in the urban environment in which local regression coefficient values diverged from their global estimates. Spatial heterogeneity of STIs suggest that public health interventions must be targeted to specific areas of the urban environment with particular attention to substance use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Anselin L. Spatial regression analysis in R—a workbook. Urbana. 2005; 51: 61801.

    Google Scholar 

  2. Anthoine E, Moret L, Regnault A, Sébille V, Hardouin JB. Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcome. 2014; 12(1): 1.

    Article  Google Scholar 

  3. Aral SO, Adimora AA, Fenton KA. Understanding and responding to disparities in HIV and other sexually transmitted infections in African Americans. Lancet. 2008; 372(9635): 337–40.

    Article  PubMed  Google Scholar 

  4. Baral S, Logie CH, Grosso A, Wirtz AL, Beyrer C. Modified social ecological model: a tool to guide the assessment of the risks and risk contexts of HIV epidemics. BMC Public Health. 2013; 13(1): 1.

    Article  Google Scholar 

  5. Becker KM, Glass GE, Brathwaite W, Zenilman JM. Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system. Am J Epidemiol. 1998; 147(7): 709–16.

    Article  CAS  PubMed  Google Scholar 

  6. Bernstein KT, Curriero FC, Jennings JM, Olthoff G, Erbelding EJ, Zenilman J. Defining core gonorrhea transmission utilizing spatial data. Am J Epidemiol. 2004; 160(1): 51–8.

    Article  PubMed  Google Scholar 

  7. Biello KB, Kershaw T, Nelson R, Hogben M, Ickovics J, Niccolai L. Racial residential segregation and rates of gonorrhea in the United States, 2003–2007. Am J Public Health. 2012; 102(7): 1370–7.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Biello KB, Niccolai L, Kershaw TS, Lin H, Ickovics J. Residential racial segregation and racial differences in sexual behaviours: an 11-year longitudinal study of sexual risk of adolescents transitioning to adulthood. J Epidemiol Community Health. 2013; 67(1): 28–34.

    Article  PubMed  Google Scholar 

  9. Bivand R, Pebesma EJ, Gomez-Rubio V. Applied spatial data analysis with R. New York: Springer.

  10. Bivand R, Müller WG, Reder M. Power calculations for global and local Moran’s I. Comput Stat Data Anal. 2009; 53(8): 2859–72.

    Article  Google Scholar 

  11. Bivand R 2015. Spatial dependence: weighting schemes, statistics and models. (White Paper) Retrieved 8/10/2016 from: http://www.icesi.edu.co/CRAN/web/packages/spdep/.

  12. Browning CR, Leventhal T, Brooks-Gunn J. Neighborhood context and racial differences in early adolescent sexual activity. Demography. 2004; 41: 697–720.

    Article  PubMed  Google Scholar 

  13. Browning CR, Burrington LA, Leventhal T, Brooks-Gunn J. Neighborhood structural inequality, collective efficacy, and sexual risk behavior among urban youth. J Health Soc Behav. 2008; 49(3): 269–85.

    Article  PubMed  PubMed Central  Google Scholar 

  14. City of Chicago Department of Public Health 2015.

  15. Cahill M, Mulligan G. Using geographically weighted regression to explore local crime patterns. Soc Sci Comput Rev. 2007; 25(2): 174–93.

    Article  Google Scholar 

  16. Centers for Disease Control. (November, 2015). Reported Cases of Sexually Transmitted Disease on the Rise: Some at an Alarming Rate. Retrieved from: http://www.cdc.gov/nchhstp/newsroom/2015/std-surveillance-report-press-release.html Accessed May 19, 2016.

  17. Chesson HW, Owusu-Edusei K, Leichliter JS, Aral SO. Violent crime rates as a proxy for the social determinants of sexually transmissible infection rates: the consistent state-level correlation between violent crime and reported sexually transmissible infections in the United States, 1981–2010. Sex Health. 2013; 10(5): 419–23.

    Article  PubMed  Google Scholar 

  18. City of Chicago Online Data Portal, [DataFile] Rates of Crimes 2012. Chicago Online Data Portal https://data.cityofchicago.org/ Accessed May 16th, 2016.

  19. Clear TR. Imprisoning communities: how mass incarceration makes disadvantaged neighborhoods worse. New York, NY: Oxford University Press; 2007.

  20. Clear TR, Rose DR, Ryder JA. Incarceration and the community: the problem of removing and returning offenders. Crime Delinq. 2001; 47(3): 335–51.

    Article  Google Scholar 

  21. Clery J. Social IMPACT Research Center’s analysis of the U.S. Census Bureau’s 2000 Decennial Census and 2007–2011 5-year American Community Survey. 2013.

  22. Cohen D, Spear S, Scribner R, Kissenger P, Mason K, Wildgen J. “Broken windows” and the risk of gonorrhea. Am J Public Health. 2000; 90: 230–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Cook RL, Royce RA, Thomas JC, Hanusa BH. What’s driving an epidemic? The spread of syphilis in rural North Carolina along an interstate highway. Am J Public Health. 1999; 89: 369–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. DiClemente RJ, Salazar LF, Crosby RA, Rosenthal SL. Prevention and control of sexually transmitted infections among adolescents: the importance of a socio-ecological perspective—a commentary. Public Health. 2005; 119(9): 825–36.

    Article  CAS  PubMed  Google Scholar 

  25. Ellen JM, Jennings JM, Meyers T, Chung SE, Taylor R. Perceived social cohesion and prevalence of sexually transmitted diseases. Sex Transm Dis. 2004; 32(1): 117–22.

    Article  Google Scholar 

  26. Federal Bureau of Investigation, 2013.

  27. Fotheringham AS, Brunsdon C, Charlton M. Geographically weighted regression. Hoboken, NJ: John Wiley & Sons, Limited. 2003.

  28. Fotheringham AS, Brunsdon C, Charlton ME. Geographically weighted regression. London, UK: The Sage handbook of spatial analysis, 243–254. 2009.

  29. Fotheringham A. Stewart, C Brunsdon, M Charlton. Geographically weighted regression: the analysis of spatially varying relationships. Hoboken, NJ: John Wiley & Sons, 2003.

  30. Fichtenberg CM, Jennings JM, Glass TA, Ellen JM. Neighborhood socioeconomic environment and sexual network position. J Urban Health. 2010; 87(2): 225–35.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Fox KK, Whittington WL, Levine WC, Moran JS, Zaidi AA, Nakashima AK. Gonorrhea in the United States, 1981–1996: demographic and geographic trends. Sex Transm Dis. 1998; 25(7): 386–93.

    Article  CAS  PubMed  Google Scholar 

  32. Hardwick D, Patychuk D. Geographic map** demonstrates the association between social inequality, teen births and STDs among youth. Can J Hum Sex. 1999; 8(2): 77.

    Google Scholar 

  33. Henderson L. Racial isolation and chlamydia rates in US counties. Race Soc Probl. 2015; 7(2): 111–22.

    Article  Google Scholar 

  34. Holtgrave DR, Crosby RA. Social capital, poverty, and income inequality as predictors of gonorrhoea, syphilis, chlamydia and AIDS case rates in the United States. Sex Transm Infect. 2003; 79(1): 62–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Hogben M, Leichliter JS. Social determinants and sexually transmitted disease disparities. Sex Transm Dis. 2008; 35(12): S13–8.

    Article  PubMed  Google Scholar 

  36. Jennings JM, Woods SE, Curriero FC. The spatial and temporal association of neighborhood drug markets and rates of sexually transmitted infections in an urban setting. Health Place. 2013; 23: 128–37.

    Article  PubMed  Google Scholar 

  37. Jennings JM, Taylor RB, Salhi RA, Furr-Holden CDM, Ellen JM. Neighborhood drug markets: a risk environment for bacterial sexually transmitted infections among urban youth. Soc Sci Med. 2012; 74(8): 1240–50.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Jennings JM, Curriero FC, Celentano D, Ellen JM. Geographic identification of high gonorrhea transmission areas in Baltimore, Maryland. Am J Epidemiol. 2005; 161(1): 73–80.

    Article  PubMed  Google Scholar 

  39. Kaplan MS, Crespo CJ, Huguet N, Marks G. Ethnic/racial homogeneity and sexually transmitted disease: a study of 77 Chicago community areas. Sex Transm Dis. 2009; 36(2): 108–11.

    Article  PubMed  Google Scholar 

  40. Kerrigan D, Witt S, Glass B, Chung SE, Ellen J. Perceived neighborhood social cohesion and condom use among adolescents vulnerable to HIV/STI. AIDS Behav. 2006; 10(2): 723–9.

    Article  PubMed  Google Scholar 

  41. Khan MR, Doherty IA, Schoenbach VJ, Taylor EM, Epperson MW, Adimora AA. Incarceration and high-risk sex partnerships among men in the United States. J Urban Health. 2009; 86(4): 584–601.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Khan MR, Epperson MW, Mateu-Gelabert P, Bolyard M, Sandoval M, Friedman SR. Incarceration, sex with an STI-or HIV-infected partner, and infection with an STI or HIV in Bushwick, Brooklyn, NY: a social network perspective. Am J Public Health. 2011; 101(6): 1110–7.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kposowa AJ. Relative deprivation, sexually transmitted diseases and HIV and AIDS mortality: a multilevel analysis. Am J Infect Dis Microbiol. 2014; 2(3): 55–62.

    Google Scholar 

  44. Krieger N, Waterman PD, Chen JT, Soobader MJ, Subramanian SV. Monitoring socioeconomic inequalities in sexually transmitted infections, tuberculosis, and violence: geocoding and choice of area-based socioeconomic measures—the public health disparities geocoding project (US) Pubic Health Reports. 118(1). 240–260. 2003.

  45. Law DG, Serre ML, Christakos G, Leone PA, Miller WC. Spatial analysis and map** of sexually transmitted diseases to optimize intervention and prevention strategies. Sex Transm Infect. 2004; 80(4): 294–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Li H, Calder CA, Cressie N. Beyond Moran’s I: testing for spatial dependence based on the spatial autoregressive model. Geogr Anal. 2007; 39(4): 357–75.

    Article  Google Scholar 

  47. Lynch JP, Sabol WJ. Assessing the effects of mass incarceration on informal social control in communities. Criminol Public Policy. 2004; 3(2): 267–94.

    Article  Google Scholar 

  48. Mayer K, Pizer HF, Venkatesh KK. The social ecology of HIV/AIDS. Med Clin N Am. 2008; 92(6): 1363–75.

    Article  PubMed  Google Scholar 

  49. Moran PA. Notes on continuous stochastic phenomena. Biometrika. 1950; 37(1/2): 17–23.

    Article  CAS  PubMed  Google Scholar 

  50. Owusu-Edusei K Jr, Chesson HW. Using spatial regression methods to examine the association between county-level racial/ethnic composition and reported cases of chlamydia and gonorrhea: an illustration with data from the state of Texas. Sex Transm Dis. 2009; 36(10): 657–64.

    Article  PubMed  Google Scholar 

  51. Porter KA, Thomas JC, Emch ME. Variations in the effect of incarceration on community gonorrhea rates, Guilford County, North Carolina, 2005–2006. Int J STD AIDS. 2010; 21(1): 34–8.

    Article  CAS  PubMed  Google Scholar 

  52. Potterat JJ, Rothenberg RB, Woodhouse DE, Muth JB, Pratts CI, Fogle JS. Gonorrhea as a social disease. Sex Transm Dis. 1985; 12(1): 25–32.

    Article  CAS  PubMed  Google Scholar 

  53. Pugsley RA, Chapman DA, Kennedy MG, Liu H, Lapane KL. Residential segregation and gonorrhea rates in US metropolitan statistical areas, 2005–2009. Sex Transm Dis. 2013; 40(6): 439–43.

    Article  PubMed  Google Scholar 

  54. Rothenberg RB. The geography of gonorrhea: empirical demonstration of core group transmission. Am J Epidemiol. 1983; 117(6): 688–94.

    Article  CAS  PubMed  Google Scholar 

  55. Rothenberg R, Muth SQ, Malone S, Potterat JJ, Woodhouse DE. Social and geographic distance in HIV risk. Sex Transm Dis. 2005; 32(8): 506–12.

    Article  PubMed  Google Scholar 

  56. Rose DR, Clear TR. Incarceration, social capital, and crime: implications for social disorganization theory. Criminology. 1998; 36(3): 441–80.

    Article  Google Scholar 

  57. Rose DR, Clear TR. Incarceration, reentry, and social capital. Prisoners once removed: The impact of incarceration and reentry on children, families, and communities 189–232. Urban Institute Press: Washington, DC: USA, 2003.

  58. Sampson RJ, Groves WB. Community structure and crime: Testing social-disorganization theory. Am J Sociol 1989; 774–802.

  59. Sampson RJ, Raudenbush SW, Earls F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 1997; 277(3): 918–24.

    Article  CAS  PubMed  Google Scholar 

  60. Stoltey JE, Li Y, Bernstein KT, Philip SS. Ecological analysis examining the association between census tract-level incarceration and reported chlamydia incidence among female adolescents and young adults in San Francisco. Sex Transm Infect. 2015; 91(5): 370–4.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Shaw CR, McKay HD. Juvenile delinquency and urban areas. Chicago, Ill. 1942.

  62. Sullivan AB, Gesink DC, Brown P, Zhou L, Kaufman JS, Fitch M, et al. Are neighborhood sociocultural factors influencing the spatial pattern of gonorrhea in North Carolina? Ann Epidemiol. 2011; 21(4): 245–52.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Thomas JC, Kulik AL, Schoenbach VJ. Syphilis in the South: rural rates surpass urban rates in North Carolina. Am J Public Health. 1995; 85(8_Pt_1): 1119–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Thomas JC, Levandowski BA, Isler MR, Torrone E, Wilson G. Incarceration and sexually transmitted infections: a neighborhood perspective. J Urban Health. 2008; 85(1): 90–9.

    Article  PubMed  Google Scholar 

  65. Thomas JC, Torrone EA, Browning CR. Neighborhood factors affecting rates of sexually transmitted diseases in Chicago. J Urban Health. 2010; 87(1): 102–12.

    Article  PubMed  Google Scholar 

  66. Thomas JC, Sampson LA. High rates of incarceration as a social force associated with community rates of sexually transmitted infection. J Infect Dis. 2005; 191(Supplement 1): S55–60.

    Article  PubMed  Google Scholar 

  67. Thomas JC, Clark M, Robinson J, Monnett M, Kilmarx PH, Peterman TA. The social ecology of syphilis. Soc Sci Med. 1999; 48(8): 1081–94.

    Article  CAS  PubMed  Google Scholar 

  68. Tiefelsdorf M. Modelling spatial processes: the identification and analysis of spatial relationships in regression residuals by means of Moran’s I. (Vol. 87). Springer Press. 2006.

  69. United States Census Bureau, American Community Survey 2007–2011 FACTFINDER database. https://www.census.gov/programs-surveys/acs/ Accessed on 5/8/2013.

  70. Ward MD, Gleditsch KS. Spatial regression models. Thousand Oaks Publisher, Thousand Oaks, CA: USA, 2008.

  71. Wheeler DC. Geographically weighted regression, In Handbook of Regional Science. Springer Press, New York City, NY: USA 2014: 1435–59.

  72. Zenilman JM, Ellish N, Fresia A, Glass G. The geography of sexual partnerships in Baltimore: applications of core theory dynamics using a geographic information system. Sex Transm Dis. 1999; 26(2): 75–81.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The study was supported by a T-32 Training Grant by the National Institute on Drug Abuse, Grant #: 1T32DA037801-01. The author gratefully acknowledges Jeremy Porter and the reviewers whose feedback greatly improved the quality of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Phillip Marotta.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marotta, P. Assessing Spatial Relationships Between Rates of Crime and Rates of Gonorrhea and Chlamydia in Chicago, 2012. J Urban Health 94, 276–288 (2017). https://doi.org/10.1007/s11524-016-0080-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11524-016-0080-7

Keywords

Navigation