Developing a Predictive Model to Prioritize Human Immunodeficiency Virus Partner Notification in North Carolina | Zendy

Brooke Hoots | Zendy; Pia D. M. MacDonald | Zendy; Lisa HightowWeidman | Zendy; Peter A. Leone | Zendy; William C. Miller | Zendy

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Developing 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 - 2011

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.

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