Dataset Information

Neighborhoods at risk: estimating risk of higher Neisseria gonorrhoeae incidence among women at the census tract level.

ABSTRACT:

Background

The association between area-based social factors and sexually transmitted diseases has been demonstrated in numerous studies. Such associations have not previously been explored for their potential to quantify likelihood of higher transmission of gonorrhea in small geographic areas.

Methods

Aggregate census tract-level sociodemographic factors in 4 domains (demographics, educational attainment, household income, and housing characteristics) were merged with female gonorrhea incidence data from 113 counties in 10 US states. Multivariate models were constructed, and a tract-level composite gonorrhea risk index was calculated. This composite risk index was validated against gonorrhea incidence among women from 2 independent states.

Results

Seven tract-level factors were found to be most strongly correlated with female gonorrhea incidence: educational attainment, proportion of female headed households, annual household income below US $20,000, proportion of population non-Hispanic black, proportion of housing units currently vacant, proportion of population reporting moving in last year, and proportion of households that are nonfamily units. Composite index was highly correlated with female gonorrhea in the study area and validated with independent data.

Conclusions

Social factors predict gonorrhea incidence at the census tract level and identify small areas at risk for higher morbidity. These data may be used by health departments and health care practices to develop geographically based disease prevention and control efforts. This is especially useful because gonorrhea incidence data are not routinely available below the county level in many states.

SUBMITTER: Stenger MR

PROVIDER: S-EPMC10204735 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Publications

Neighborhoods at risk: estimating risk of higher Neisseria gonorrhoeae incidence among women at the census tract level.

Stenger Mark R MR Samuel Michael C MC Anschuetz Greta L GL Pugsley River R Eaglin Margaret M Klingler Ellen E Reed Mary M Schumacher Christina M CM Simon Julie J Weinstock Hillard H

Sexually transmitted diseases 20141101 11

<h4>Background</h4>The association between area-based social factors and sexually transmitted diseases has been demonstrated in numerous studies. Such associations have not previously been explored for their potential to quantify likelihood of higher transmission of gonorrhea in small geographic areas.<h4>Methods</h4>Aggregate census tract-level sociodemographic factors in 4 domains (demographics, educational attainment, household income, and housing characteristics) were merged with female gono ...[more]

PMID: 25299410

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Dataset Information

Neighborhoods at risk: estimating risk of higher Neisseria gonorrhoeae incidence among women at the census tract level.

Background

Methods

Results

Conclusions

Publications

Neighborhoods at risk: estimating risk of higher Neisseria gonorrhoeae incidence among women at the census tract level.

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