Open AccessDeveloping a Predictive Model to Prioritize Human Immunodeficiency Virus Partner Notification in North Carolina
Author(s) -
Brooke Hoots,
Pia D. M. MacDonald,
Lisa HightowWeidman,
Peter A. Leone,
William C. Miller
Publication year - 2012
Publication title -
sexually transmitted diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.507
H-Index - 105
eISSN - 1537-4521
pISSN - 0148-5717
DOI - 10.1097/olq.0b013e318239da4e
Subject(s) - medicine , human immunodeficiency virus (hiv) , partner notification , family medicine , virology , south carolina , contact tracing , covid-19 , disease , syphilis , infectious disease (medical specialty) , public administration , political science
Disease intervention specialists (DIS) in North Carolina have less time to conduct partner notification because of competing responsibilities while simultaneously facing increased case loads because of increased human immunodeficiency virus (HIV) testing. We developed a model to predict undiagnosed HIV infection in sexual partners to prioritize DIS interviews.