Although surveillance for HIV infection has traditionally focused on the in
cidence of AIDS and the prevalence of HIV, new diagnostic technologies that
allow the estimation of incident HIV infection have become available. Numb
er and distribution of new cases of HIV infection, rather than old cases, a
re the data most relevant to guide rational application of HIV prevention p
rograms. Historically, incident HIV infection has been measured in longitud
inal cohort studies, diagnosed clinically or since 1993 by detection of ser
oconverting patients (during the window period before appearance of HIV ant
ibody) who are viremic as measured by p24 antigen or RNA-PCR. The sensitive
-less sensitive EIA test (or serologic testing algorithm for recent HIV ser
oconversion [STAHRS]) has now made the serologic diagnosis of incident HIV
infection in individual patients as well as the estimation of HIV incidence
in populations possible. Examples of the public health application of this
are studies of HIV incidence in anonymous test site attendees, sexually tr
ansmitted disease clinic patients, and in-treatment injection drug users in
San Francisco. These sorts of studies allow us not only to measure inciden
ce cross-sectionally but also facilitate surveillance for HIV subtypes and
primary antiretroviral resistance, targeting early antiretroviral therapy a
nd partner notification, and understanding who is "failing" prevention. Hav
ing an HIV surveillance system that focuses on incident rather than prevale
nt infection should be our long-term goal.