Using surveillance data to monitor entry into care of newly diagnosed HIV-infected persons

San Francisco, 2006–2007

Bibliographic Data

ID15358652
AuthorsNicola M Zetola (0000-0003-0712-8579, University of California, San Francisco, corresponding author), Kyle Bernstein (0000-0001-8455-899X, University of California, San Francisco), Katherine A Ahrens (0000-0001-5139-9208, San Francisco Department of Public Health), Katherine Ahrens, Julia L Marcus (0000-0002-8552-414X, San Francisco Department of Public Health), Susan Philip (0000-0002-2325-1916, University of California, San Francisco), Giuliano Nieri, Diane Jones (0000-0002-0375-5500, University of California, San Francisco), C Bradley Hare (University of California, San Francisco), Ling Hsu (University of California, San Francisco), Susan Scheer (0000-0003-1060-3027, University of California, San Francisco), Jeffrey D Klausner (0000-0002-6922-7364, San Francisco Department of Public Health)
Year2009
Volume9
Issue1
Pages17-17
Publication date2009-01-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/1471-2458-9-17
PMID19144168
PMCIDPMC2633266
OpenAlexW2038188944
LanguageEN
Citations received10
References cited7

The time from HIV diagnosis to initial CD4 T cell count, CD4 T cell value and HIV viral load testing may be appropriate surveillance measures for evaluating entry into care, as well as performance outcomes for local public health departments' HIV testing programs. Case investigation performed by the public health department or case management by clinic staff was associated with increased and shorter time to entry into HIV medical care

Biostatistics · Environmental health · Family medicine · Health care · Human immunodeficiency virus (HIV · Linkage (software · Medical emergency · Pathology · Public health · Viral load · HIV Research and Treatment · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Medicine · Epidemiology

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