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Cited by 310

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Concurrent Partnerships and HIV Prevalence Disparities by Race: Linking Science and Public Health Practice

Open access
Morris, Martina, Kurth, Ann E., Hamilton, Deven T., Moody, James, Wakefield, Steve·2009·American Journal of Public Health

Abstract

Concurrent sexual partnerships may help to explain the disproportionately high prevalence of HIV and other sexually transmitted infections among African Americans. The persistence of such disparities would also require strong assortative mixing by race. We examined descriptive evidence from 4 nationally representative US surveys and found consistent support for both elements of this hypothesis. Using a data-driven network simulation model, we found that the levels of concurrency and assortative mixing observed produced a 2.6-fold racial disparity in the epidemic potential among young African American adults.

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Crossref · 10.2105/ajph.2008.147835

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Metadata

Authors
Morris, M., Kurth, A. E., Hamilton, D. T., Moody, J., & Wakefield, S.
Venue
American Journal of Public Health
Published
2009-06
Volume
99
Issue
6
Pages
1023-1031
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W1986413749
Cited by
310
References
32
FWCI
17.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Concurrent Partnerships and HIV Prevalence Disparities by Race: Linking Science and Public Health Practice. https://app.cochat.ai/papers/10.2105/ajph.2008.147835
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Morris, M., Kurth, A. E., Hamilton, D. T., Moody, J., & Wakefield, S. (2009). Concurrent Partnerships and HIV Prevalence Disparities by Race: Linking Science and Public Health Practice. American Journal of Public Health. https://doi.org/10.2105/ajph.2008.147835

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.