Data Methods

Learn more about the data that informs AHEAD.

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Knowledge of HIV Status indicator icon Knowledge of HIV Status

Knowledge (or awareness) of HIV-positive status occurs when a person with HIV is tested and diagnosed with HIV infection. Therefore, “knowledge of HIV status” is estimated as the percentage of persons with HIV who have received a diagnosis . Estimates are derived by using HIV surveillance data and CD4 data for persons aged ≥13 years at diagnosis. HIV prevalence (the number of persons living with diagnosed or undiagnosed infection) is the denominator for this indicator and is estimated by subtracting reported cumulative deaths from the estimated number of cumulative infections, which is derived from the estimated annual number of HIV infections as described above in the section “Estimated HIV incidence (diagnosed and undiagnosed).” Knowledge of status (also known as percentage diagnosed or percentage aware) is determined by dividing the number of persons with diagnosed HIV by the total HIV prevalence for each year. The number of persons with diagnosed HIV is based on HIV surveillance data reported to CDC from 50 states and the District of Columbia for persons aged ≥ 13 years.

Completeness of reporting varies among states and local jurisdictions. Estimates should be interpreted with caution for EHE areas (including Phase 1 EHE states, EHE jurisdictions, or states that contain EHE jurisdictions) that do not have laws requiring complete reporting of laboratory data or have incomplete reporting.

  • EHE areas without laws requiring complete reporting:
    • Idaho
    • New Jersey
    • Pennsylvania
  • EHE areas with incomplete reporting:
    • Arizona
    • Arkansas
    • Connecticut (for 2018 only)
    • Kansas
    • Kentucky
    • Nevada (for 2017 only)
    • Vermont
    • Puerto Rico

The relative standard error RSE is a measure that shows how large the standard error is, relative to the size of the estimated value. It is calculated by dividing the standard error of an estimated value by the estimated value itself, and then multiplied by 100 and expressed as a %. Smaller RSEs are indicative of more reliable results, and larger RSEs indicative of less reliable results.

Estimates with a relative standard error (RSE) of ≥30% do not meet the standard of reliability and are represented in the following way:

  • Estimates with an RSE of 30% - 50% are marked with an asterisk (*), indicating that they should be used with caution.
  • Estimates with an RSE>50 percent are not shown, and are replaced with the phrase “Data N/A due to high relative standard error.”

To reflect model uncertainty, all estimates were rounded to the nearest 100 for estimates of more than 1,000 and to the nearest 10 for estimates of less than 1,000.

Please note that at the time of development of this dashboard, the estimates on knowledge of HIV status for the year 2018 were considered preliminary, as they were based on deaths that have been reported only as of December 2019.

More information can be found at: HIV Surveillance Report Supplemental Report Volume 25, Number 1.