Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.

<h4>Introduction</h4>Social network strategies have been used by health departments to identify undiagnosed cases of HIV. Heterosexual cycle (HET4) of National HIV Behavioral Surveillance (NHBS) is a social network strategy implemented in jurisdictions. The main objectives of this resear...

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Autores principales:	Suparna Das, Richard Medina, Emily Nicolosi, Anya Agopian, Irene Kuo, Jenevieve Opoku, Adam Allston, Michael Kharfen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8e44c3c91dec4e67a30fb41ddd12ef70
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spelling	oai:doaj.org-article:8e44c3c91dec4e67a30fb41ddd12ef702021-12-02T20:06:39ZEnding the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.1932-620310.1371/journal.pone.0253594https://doaj.org/article/8e44c3c91dec4e67a30fb41ddd12ef702021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253594https://doaj.org/toc/1932-6203<h4>Introduction</h4>Social network strategies have been used by health departments to identify undiagnosed cases of HIV. Heterosexual cycle (HET4) of National HIV Behavioral Surveillance (NHBS) is a social network strategy implemented in jurisdictions. The main objectives of this research are to 1) evaluate the utility of the NHBS HET cycle data for network analysis; 2) to apply statistical analysis in support of previous HIV research, as well as to develop new research results focused on demographic variables and prevention/intervention with respect to heterosexual HIV risk; and 3) to employ NHBS data to inform policy with respect to the EHE plan.<h4>Method</h4>We used data from the 2016 NHBS HET4 (DC). A total of 747 surveys were collected. We used the free social-network analysis package, GEPHI, for all network visualization using adjacency matrix representation. We additionally conducted logistic regression analysis to examine the association of selected variables with HIV status in three models representing 1) demographic and economic effects, 2) behavioral effects, and 3) prevention-intervention effects.<h4>Results</h4>The results showed 3% were tested positive. Seed 1 initiated the largest networks with 426 nodes (15 positives); seed 4 with 273 nodes (6 positives). Seed 3 had 35 nodes (2 positives). All 23 HIV diagnoses were recruited from 4 zip-codes across DC. The risk of testing positive was higher among people high-school dropouts (Relative Risk (RR) (25.645); 95 CI% 5.699, 115.987), unemployed ((4.267); 1.295, 14.064), returning citizens ((14.319); 4.593, 44.645). We also found in the final model higher association of pre-exposure prophylaxis (PrEP) awareness among those tested negative ((4.783); 1.042, 21.944) and HIV intervention in the past 12 months with those tested positive ((17.887); 2.350,136.135).<h4>Conclusion</h4>The network visualization was used to address the primary aim of the analysis-evaluate the success of the implementation of the NHBS as a social network strategy to find new diagnoses. NHBS remains one of the strongest behavioral supplements for DC's HIV planning activities. As part of the evaluation process our analysis helps to understand the impact of demographic, behavioral, and prevention efforts on peoples' HIV status. We strongly recommend other jurisdictions use network visualizations to evaluate the efficacy in reaching hidden populations.Suparna DasRichard MedinaEmily NicolosiAnya AgopianIrene KuoJenevieve OpokuAdam AllstonMichael KharfenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0253594 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Suparna Das Richard Medina Emily Nicolosi Anya Agopian Irene Kuo Jenevieve Opoku Adam Allston Michael Kharfen Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
description	<h4>Introduction</h4>Social network strategies have been used by health departments to identify undiagnosed cases of HIV. Heterosexual cycle (HET4) of National HIV Behavioral Surveillance (NHBS) is a social network strategy implemented in jurisdictions. The main objectives of this research are to 1) evaluate the utility of the NHBS HET cycle data for network analysis; 2) to apply statistical analysis in support of previous HIV research, as well as to develop new research results focused on demographic variables and prevention/intervention with respect to heterosexual HIV risk; and 3) to employ NHBS data to inform policy with respect to the EHE plan.<h4>Method</h4>We used data from the 2016 NHBS HET4 (DC). A total of 747 surveys were collected. We used the free social-network analysis package, GEPHI, for all network visualization using adjacency matrix representation. We additionally conducted logistic regression analysis to examine the association of selected variables with HIV status in three models representing 1) demographic and economic effects, 2) behavioral effects, and 3) prevention-intervention effects.<h4>Results</h4>The results showed 3% were tested positive. Seed 1 initiated the largest networks with 426 nodes (15 positives); seed 4 with 273 nodes (6 positives). Seed 3 had 35 nodes (2 positives). All 23 HIV diagnoses were recruited from 4 zip-codes across DC. The risk of testing positive was higher among people high-school dropouts (Relative Risk (RR) (25.645); 95 CI% 5.699, 115.987), unemployed ((4.267); 1.295, 14.064), returning citizens ((14.319); 4.593, 44.645). We also found in the final model higher association of pre-exposure prophylaxis (PrEP) awareness among those tested negative ((4.783); 1.042, 21.944) and HIV intervention in the past 12 months with those tested positive ((17.887); 2.350,136.135).<h4>Conclusion</h4>The network visualization was used to address the primary aim of the analysis-evaluate the success of the implementation of the NHBS as a social network strategy to find new diagnoses. NHBS remains one of the strongest behavioral supplements for DC's HIV planning activities. As part of the evaluation process our analysis helps to understand the impact of demographic, behavioral, and prevention efforts on peoples' HIV status. We strongly recommend other jurisdictions use network visualizations to evaluate the efficacy in reaching hidden populations.
format	article
author	Suparna Das Richard Medina Emily Nicolosi Anya Agopian Irene Kuo Jenevieve Opoku Adam Allston Michael Kharfen
author_facet	Suparna Das Richard Medina Emily Nicolosi Anya Agopian Irene Kuo Jenevieve Opoku Adam Allston Michael Kharfen
author_sort	Suparna Das
title	Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
title_short	Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
title_full	Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
title_fullStr	Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
title_full_unstemmed	Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.
title_sort	ending the hiv epidemic using national hiv behavioral surveillance (nhbs): recommendations based on dc model.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/8e44c3c91dec4e67a30fb41ddd12ef70
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Ending the HIV epidemic using National HIV Behavioral Surveillance (NHBS): Recommendations based on DC model.

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