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Improving HIV Surveillance Data by Using the ATra Black Box System to Assist Regional Deduplication Activities
Author(s) -
Joanne Michelle F. Ocampo,
Auntré Hamp,
Anne Rhodes,
J C Smart,
Raghu Pemmaraju,
Karalee Poschman,
Kristen L. Hess,
Reshma Bhattacharjee,
Colin Flynn,
Bridget J. Anderson,
James E. Dowling,
Fred Maccormack,
Rupali Doshi,
Garret Lum,
Lorene M. Maddox,
Brenda L. Moncur,
John E Barnhart,
Jason Maxwell,
Sahithi Boggavarapu Aurand,
Vicki Hogan,
David P. Wills,
Stacy Prowell,
Seble Kassaye,
Helen E. Karn,
Benjamin T. Laffoon,
Jeff Collmann
Publication year - 2019
Publication title -
journal of acquired immune deficiency syndromes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.162
H-Index - 157
eISSN - 1944-7884
pISSN - 1525-4135
DOI - 10.1097/qai.0000000000002090
Subject(s) - data deduplication , upload , ethnic group , data quality , medicine , public health surveillance , human immunodeficiency virus (hiv) , computer science , public health , demography , database , family medicine , political science , operations management , world wide web , law , nursing , sociology , engineering , metric (unit)
Focused attention on Data to Care underlines the importance of high-quality HIV surveillance data. This study identified the number of total duplicate and exact duplicate HIV case records in 9 separate Enhanced HIV/AIDS Reporting System (eHARS) databases reported by 8 jurisdictions and compared this approach to traditional Routine Interstate Duplicate Review resolution.

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