2014
DOI: 10.1177/003335491412900408
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The Status of the National HIV Surveillance System, United States, 2013

Abstract: The burden of HIV disease in the United States is monitored by using a comprehensive surveillance system. Data from this system are used at the federal, state, and local levels to plan, implement, and evaluate public health policies and programs. Implementation of HIV reporting has differed by area, and for the first time in early 2013, estimated data on diagnosed HIV infection were available from all 50 states, the District of Columbia, and six U.S. dependent areas. The newly available data for the entire U.S… Show more

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Cited by 47 publications
(45 citation statements)
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“…In many states, CD4 + cell counts and viral load test results are now routinely collected as part of HIV surveillance and sent confidentially to the National HIV Surveillance System. Jurisdictions reporting these laboratory test results comprise approximately 60% of persons living with HIV in the US [20,21]. States and cities are increasingly using these data to reliably estimate the percentage of persons living with HIV in their jurisdictions who are in care with sustained viral suppression [2225].…”
Section: Discussionmentioning
confidence: 99%
“…In many states, CD4 + cell counts and viral load test results are now routinely collected as part of HIV surveillance and sent confidentially to the National HIV Surveillance System. Jurisdictions reporting these laboratory test results comprise approximately 60% of persons living with HIV in the US [20,21]. States and cities are increasingly using these data to reliably estimate the percentage of persons living with HIV in their jurisdictions who are in care with sustained viral suppression [2225].…”
Section: Discussionmentioning
confidence: 99%
“…Data from the National HIV Surveillance System reported to the CDC through December 2015 were used to determine trends in the annual number of HIV diagnoses in the United States [15]. Data on HIV diagnoses were also used to estimate the annual number of infections (incidence) with 3 models (Table 1) using (1) additional information on a biomarker that classifies infections as recent (or not) in the stratified extrapolation approach [1,2,16-18]; (2) HIV diagnoses and the severity of disease (whether infection is classified as stage-3 AIDS, within the same calendar year as HIV diagnosis) in the back-calculation approach (Bayesian hierarchical model) to estimate HIV prevalence and the percentage of persons living with undiagnosed HIV [4,19,20]; and (3) the first CD4 count after diagnosis in a newly developed approach to derive incidence, prevalence, and the percentage undiagnosed (CD4 model) [21-23].…”
Section: Methodsmentioning
confidence: 99%
“…21 We included one sequence per person. When more than one sequence had been obtained from an individual, the longest sequence was used; 80% of these sequences were obtained within 1 year since diagnosis.…”
Section: Sequence Datamentioning
confidence: 99%