A digital network approach to infer sex behavior in emerging HIV epidemics.
<h4>Purpose</h4>Improve the ability to infer sex behaviors more accurately using network data.<h4>Methods</h4>A hybrid network analytic approach was utilized to integrate: (1) the plurality of reports from others tied to individual(s) of interest; and (2) structural features...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2014
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/9c4917e4702342439816bbfce52dc93b |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:9c4917e4702342439816bbfce52dc93b |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:9c4917e4702342439816bbfce52dc93b2021-11-25T06:09:42ZA digital network approach to infer sex behavior in emerging HIV epidemics.1932-620310.1371/journal.pone.0101416https://doaj.org/article/9c4917e4702342439816bbfce52dc93b2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24992340/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Purpose</h4>Improve the ability to infer sex behaviors more accurately using network data.<h4>Methods</h4>A hybrid network analytic approach was utilized to integrate: (1) the plurality of reports from others tied to individual(s) of interest; and (2) structural features of the network generated from those ties. Network data was generated from digitally extracted cell-phone contact lists of a purposeful sample of 241 high-risk men in India. These data were integrated with interview responses to describe the corresponding individuals in the contact lists and the ties between them. HIV serostatus was collected for each respondent and served as an internal validation of the model's predictions of sex behavior.<h4>Results</h4>We found that network-based model predictions of sex behavior and self-reported sex behavior had limited correlation (54% agreement). Additionally, when respondent sex behaviors were re-classified to network model predictions from self-reported data, there was a 30.7% decrease in HIV seroprevalence among groups of men with lower risk behavior, which is consistent with HIV transmission biology.<h4>Conclusion</h4>Combining the relative completeness and objectivity of digital network data with the substantive details of classical interview and HIV biomarker data permitted new analyses and insights into the accuracy of self-reported sex behavior.Abhinav KapurJohn A SchneiderDaniel HeardSayan MukherjeePhil SchummGanesh OrugantiEdward O LaumannPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 7, p e101416 (2014) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Abhinav Kapur John A Schneider Daniel Heard Sayan Mukherjee Phil Schumm Ganesh Oruganti Edward O Laumann A digital network approach to infer sex behavior in emerging HIV epidemics. |
| description |
<h4>Purpose</h4>Improve the ability to infer sex behaviors more accurately using network data.<h4>Methods</h4>A hybrid network analytic approach was utilized to integrate: (1) the plurality of reports from others tied to individual(s) of interest; and (2) structural features of the network generated from those ties. Network data was generated from digitally extracted cell-phone contact lists of a purposeful sample of 241 high-risk men in India. These data were integrated with interview responses to describe the corresponding individuals in the contact lists and the ties between them. HIV serostatus was collected for each respondent and served as an internal validation of the model's predictions of sex behavior.<h4>Results</h4>We found that network-based model predictions of sex behavior and self-reported sex behavior had limited correlation (54% agreement). Additionally, when respondent sex behaviors were re-classified to network model predictions from self-reported data, there was a 30.7% decrease in HIV seroprevalence among groups of men with lower risk behavior, which is consistent with HIV transmission biology.<h4>Conclusion</h4>Combining the relative completeness and objectivity of digital network data with the substantive details of classical interview and HIV biomarker data permitted new analyses and insights into the accuracy of self-reported sex behavior. |
| format |
article |
| author |
Abhinav Kapur John A Schneider Daniel Heard Sayan Mukherjee Phil Schumm Ganesh Oruganti Edward O Laumann |
| author_facet |
Abhinav Kapur John A Schneider Daniel Heard Sayan Mukherjee Phil Schumm Ganesh Oruganti Edward O Laumann |
| author_sort |
Abhinav Kapur |
| title |
A digital network approach to infer sex behavior in emerging HIV epidemics. |
| title_short |
A digital network approach to infer sex behavior in emerging HIV epidemics. |
| title_full |
A digital network approach to infer sex behavior in emerging HIV epidemics. |
| title_fullStr |
A digital network approach to infer sex behavior in emerging HIV epidemics. |
| title_full_unstemmed |
A digital network approach to infer sex behavior in emerging HIV epidemics. |
| title_sort |
digital network approach to infer sex behavior in emerging hiv epidemics. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2014 |
| url |
https://doaj.org/article/9c4917e4702342439816bbfce52dc93b |
| work_keys_str_mv |
AT abhinavkapur adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT johnaschneider adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT danielheard adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT sayanmukherjee adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT philschumm adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT ganeshoruganti adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT edwardolaumann adigitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT abhinavkapur digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT johnaschneider digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT danielheard digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT sayanmukherjee digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT philschumm digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT ganeshoruganti digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics AT edwardolaumann digitalnetworkapproachtoinfersexbehaviorinemerginghivepidemics |
| _version_ |
1718414119096287232 |