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HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South

BACKGROUND: In recent years, more than half of new HIV infections in the United States occur among African Americans in the Southeastern United States. Spatial epidemiological analyses can inform public health responses in the Deep South by identifying HIV hotspots and community-level factors associ...

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Autores principales: Stopka, Thomas J, Brinkley-Rubinstein, Lauren, Johnson, Kendra, Chan, Philip A, Hutcheson, Marga, Crosby, Richard, Burke, Deirdre, Mena, Leandro, Nunn, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904450/
https://www.ncbi.nlm.nih.gov/pubmed/29615383
http://dx.doi.org/10.2196/publichealth.8773
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author Stopka, Thomas J
Brinkley-Rubinstein, Lauren
Johnson, Kendra
Chan, Philip A
Hutcheson, Marga
Crosby, Richard
Burke, Deirdre
Mena, Leandro
Nunn, Amy
author_facet Stopka, Thomas J
Brinkley-Rubinstein, Lauren
Johnson, Kendra
Chan, Philip A
Hutcheson, Marga
Crosby, Richard
Burke, Deirdre
Mena, Leandro
Nunn, Amy
author_sort Stopka, Thomas J
collection PubMed
description BACKGROUND: In recent years, more than half of new HIV infections in the United States occur among African Americans in the Southeastern United States. Spatial epidemiological analyses can inform public health responses in the Deep South by identifying HIV hotspots and community-level factors associated with clustering. OBJECTIVE: The goal of this study was to identify and characterize HIV clusters in Mississippi through analysis of state-level HIV surveillance data. METHODS: We used a combination of spatial epidemiology and statistical modeling to identify and characterize HIV hotspots in Mississippi census tracts (n=658) from 2008 to 2014. We conducted spatial analyses of all HIV infections, infections among men who have sex with men (MSM), and infections among African Americans. Multivariable logistic regression analyses identified community-level sociodemographic factors associated with HIV hotspots considering all cases. RESULTS: There were HIV hotspots for the entire population, MSM, and African American MSM identified in the Mississippi Delta region, Southern Mississippi, and in greater Jackson, including surrounding rural counties (P<.05). In multivariable models for all HIV cases, HIV hotspots were significantly more likely to include urban census tracts (adjusted odds ratio [AOR] 2.01, 95% CI 1.20-3.37) and census tracts that had a higher proportion of African Americans (AOR 3.85, 95% CI 2.23-6.65). The HIV hotspots were less likely to include census tracts with residents who had less than a high school education (AOR 0.95, 95% CI 0.92-0.98), census tracts with residents belonging to two or more racial/ethnic groups (AOR 0.46, 95% CI 0.30-0.70), and census tracts that had a higher percentage of the population living below the poverty level (AOR 0.51, 95% CI 0.28-0.92). CONCLUSIONS: We used spatial epidemiology and statistical modeling to identify and characterize HIV hotspots for the general population, MSM, and African Americans. HIV clusters concentrated in Jackson and the Mississippi Delta. African American race and urban location were positively associated with clusters, whereas having less than a high school education and having a higher percentage of the population living below the poverty level were negatively associated with clusters. Spatial epidemiological analyses can inform implementation science and public health response strategies, including improved HIV testing, targeted prevention and risk reduction education, and tailored preexposure prophylaxis to address HIV disparities in the South.
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spelling pubmed-59044502018-04-24 HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South Stopka, Thomas J Brinkley-Rubinstein, Lauren Johnson, Kendra Chan, Philip A Hutcheson, Marga Crosby, Richard Burke, Deirdre Mena, Leandro Nunn, Amy JMIR Public Health Surveill Original Paper BACKGROUND: In recent years, more than half of new HIV infections in the United States occur among African Americans in the Southeastern United States. Spatial epidemiological analyses can inform public health responses in the Deep South by identifying HIV hotspots and community-level factors associated with clustering. OBJECTIVE: The goal of this study was to identify and characterize HIV clusters in Mississippi through analysis of state-level HIV surveillance data. METHODS: We used a combination of spatial epidemiology and statistical modeling to identify and characterize HIV hotspots in Mississippi census tracts (n=658) from 2008 to 2014. We conducted spatial analyses of all HIV infections, infections among men who have sex with men (MSM), and infections among African Americans. Multivariable logistic regression analyses identified community-level sociodemographic factors associated with HIV hotspots considering all cases. RESULTS: There were HIV hotspots for the entire population, MSM, and African American MSM identified in the Mississippi Delta region, Southern Mississippi, and in greater Jackson, including surrounding rural counties (P<.05). In multivariable models for all HIV cases, HIV hotspots were significantly more likely to include urban census tracts (adjusted odds ratio [AOR] 2.01, 95% CI 1.20-3.37) and census tracts that had a higher proportion of African Americans (AOR 3.85, 95% CI 2.23-6.65). The HIV hotspots were less likely to include census tracts with residents who had less than a high school education (AOR 0.95, 95% CI 0.92-0.98), census tracts with residents belonging to two or more racial/ethnic groups (AOR 0.46, 95% CI 0.30-0.70), and census tracts that had a higher percentage of the population living below the poverty level (AOR 0.51, 95% CI 0.28-0.92). CONCLUSIONS: We used spatial epidemiology and statistical modeling to identify and characterize HIV hotspots for the general population, MSM, and African Americans. HIV clusters concentrated in Jackson and the Mississippi Delta. African American race and urban location were positively associated with clusters, whereas having less than a high school education and having a higher percentage of the population living below the poverty level were negatively associated with clusters. Spatial epidemiological analyses can inform implementation science and public health response strategies, including improved HIV testing, targeted prevention and risk reduction education, and tailored preexposure prophylaxis to address HIV disparities in the South. JMIR Publications 2018-04-03 /pmc/articles/PMC5904450/ /pubmed/29615383 http://dx.doi.org/10.2196/publichealth.8773 Text en ©Thomas J Stopka, Lauren Brinkley-Rubinstein, Kendra Johnson, Philip A Chan, Marga Hutcheson, Richard Crosby, Deirdre Burke, Leandro Mena, Amy Nunn. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 03.04.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Stopka, Thomas J
Brinkley-Rubinstein, Lauren
Johnson, Kendra
Chan, Philip A
Hutcheson, Marga
Crosby, Richard
Burke, Deirdre
Mena, Leandro
Nunn, Amy
HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title_full HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title_fullStr HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title_full_unstemmed HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title_short HIV Clustering in Mississippi: Spatial Epidemiological Study to Inform Implementation Science in the Deep South
title_sort hiv clustering in mississippi: spatial epidemiological study to inform implementation science in the deep south
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904450/
https://www.ncbi.nlm.nih.gov/pubmed/29615383
http://dx.doi.org/10.2196/publichealth.8773
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