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. 2017 Oct;94(5):683-698.
doi: 10.1007/s11524-017-0179-5.

Assessing Spatial Relationships between Race, Inequality, Crime, and Gonorrhea and Chlamydia in the United States

Phillip Marotta  1
Affiliations

Assessing Spatial Relationships between Race, Inequality, Crime, and Gonorrhea and Chlamydia in the United States

Phillip Marotta. J Urban Health. 2017 Oct.

Abstract

Incidence rates of chlamydia and gonorrhea reached unprecedented levels in 2015 and are concentrated in southern counties of the USA. Using incidence data from the Center for Disease Control, Moran's I analyses assessed the data for statistically significant clusters of chlamydia and gonorrhea at the county level in 46 states of the USA. Lagrange multiplier diagnostics justified selection of the spatial Durbin regression model for chlamydia and the spatial error model for gonorrhea. Rates of chlamydia (Moran's I = .37, p < .001) and gonorrhea (Moran's I = .38, p < .001) were highly clustered particularly in the southern region of the USA. Logged percent in poverty (B = .49, p < .001 and B = .48, p < .001) and racial composition of African-Americans (B = .16, p < .001 and B = .40, p < .001); Native Americans (B = .12, p < .001 and B = .20, p < .001); and Asians (B = .14, p < .001 and B = .09, p < .001) were significantly associated with greater rates of chlamydia and gonorrhea, respectively, after accounting for spatial dependence in the data. Logged rates of rates violent crimes were associated with chlamydia (B = .053, p < .001) and gonorrhea (B = .10, p < .001). Logged rates of drug crimes (.052, p < .001) were only associated with chlamydia. Metropolitan census designation was associated with logged rates of chlamydia (B = .12, p < .001) and gonorrhea (B = .24, p < .001). Spatial heterogeneity in the distribution of rates of chlamydia and gonorrhea provide important insights for strategic public health interventions in the USA and inform the allocation of limited resources for the prevention of chlamydia and gonorrhea.

Keywords: Crime; Epidemiology; Sexually transmitted infection.

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Figures

Fig. 1
Fig. 1
Spatial distribution of rates of chlamydia in the USA, 2014
Fig. 2
Fig. 2
Empirical Bayes adjusted spatial clusters of chlamydia in the USA, 2014
Fig. 3
Fig. 3
Spatial distribution of rates of gonorrhea in the USA, 2014
Fig. 4
Fig. 4
Empirical Bayes adjusted spatial clusters of gonorrhea in the USA, 2014
See this image and copyright information in PMC

References

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