A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks

Abstract Contact tracing for venereal disease control has been widespread since 1936 and relies on reported information about contacts’ attributes to determine whether two contacts may represent the same individual. We developed and implemented a gold-standard for determining overlap between contact...

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Autores principales:	John Schneider, L. Philip Schumm, Maya Fraser, Vijay Yeldandi, Chuanhong Liao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3eab4c6c10954703890f755ab5df7e89
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spelling	oai:doaj.org-article:3eab4c6c10954703890f755ab5df7e892021-12-02T15:07:52ZA Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks10.1038/s41598-018-26794-72045-2322https://doaj.org/article/3eab4c6c10954703890f755ab5df7e892018-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-26794-7https://doaj.org/toc/2045-2322Abstract Contact tracing for venereal disease control has been widespread since 1936 and relies on reported information about contacts’ attributes to determine whether two contacts may represent the same individual. We developed and implemented a gold-standard for determining overlap between contacts reported by different individuals using cell phone numbers as unique identifiers. This method was then used to evaluate the performance of using reported names and demographic characteristics to infer overlap. Cell-phone numbers, names and demographic data for a sample of high-risk men in India and their contacts were collected using a novel, hybrid instrument involving both cell-phone data extraction and Computer-Assisted Personal Interviewing (CAPI). Logistic regression was used to model the probability that a pair of contacts reported by different respondents were identical, based on the correspondence between their reported names and attributes. A discrete mixture model is proposed which provides predictions nearly as good as the logistic model but may be used in a new population without re-calibration. Despite achieving AUCs of 0.83–0.86, the low rate of true overlap among a very large number of contact pairs still results in a high rate of false positives. Next generation contact tracing calls for more archived or digital matching processes.John SchneiderL. Philip SchummMaya FraserVijay YeldandiChuanhong LiaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q John Schneider L. Philip Schumm Maya Fraser Vijay Yeldandi Chuanhong Liao A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
description	Abstract Contact tracing for venereal disease control has been widespread since 1936 and relies on reported information about contacts’ attributes to determine whether two contacts may represent the same individual. We developed and implemented a gold-standard for determining overlap between contacts reported by different individuals using cell phone numbers as unique identifiers. This method was then used to evaluate the performance of using reported names and demographic characteristics to infer overlap. Cell-phone numbers, names and demographic data for a sample of high-risk men in India and their contacts were collected using a novel, hybrid instrument involving both cell-phone data extraction and Computer-Assisted Personal Interviewing (CAPI). Logistic regression was used to model the probability that a pair of contacts reported by different respondents were identical, based on the correspondence between their reported names and attributes. A discrete mixture model is proposed which provides predictions nearly as good as the logistic model but may be used in a new population without re-calibration. Despite achieving AUCs of 0.83–0.86, the low rate of true overlap among a very large number of contact pairs still results in a high rate of false positives. Next generation contact tracing calls for more archived or digital matching processes.
format	article
author	John Schneider L. Philip Schumm Maya Fraser Vijay Yeldandi Chuanhong Liao
author_facet	John Schneider L. Philip Schumm Maya Fraser Vijay Yeldandi Chuanhong Liao
author_sort	John Schneider
title	A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
title_short	A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
title_full	A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
title_fullStr	A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
title_full_unstemmed	A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks
title_sort	gold-standard for entity resolution within sexually transmitted infection networks
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/3eab4c6c10954703890f755ab5df7e89
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A Gold-Standard for Entity Resolution within Sexually Transmitted Infection Networks

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