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  2. Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_HIV/AIDS

    Confirming the test result (i.e., by repeating the test, if this option is available) could reduce the ultimate likelihood of a false positive to about 1 result in 250,000 tests given. The sensitivity rating, likewise, indicates that, in 1,000 test results of HIV infected people, 3 will actually be a false negative result.

  3. Viral load monitoring for HIV - Wikipedia

    en.wikipedia.org/wiki/Viral_load_monitoring_for_HIV

    An HIV antibody test usually detects the HIV antibodies within two to eight weeks, but can have a valid negative result for a long as 2 to 6 months after initial infection. Viral load tests can also be used to diagnose HIV infection, especially in children under 18 months born to mothers with HIV, where the presence of maternal antibodies ...

  4. HIV-positive people - Wikipedia

    en.wikipedia.org/wiki/HIV-positive_people

    Infection with HIV is determined by an HIV test.As of 2021, 85% of all people living with HIV knew their status. [2]The Joint United Nations Program on HIV/AIDS (UNAIDS), Amnesty International, the Global Network of Sex Work Projects and the Global Network of People Living with HIV/AIDS, have all condemned forced HIV testing actions as infringements on human rights and conflicting with proven ...

  5. HIV - Wikipedia

    en.wikipedia.org/wiki/HIV

    The latest recommendations of the US Centers for Disease Control and Prevention (CDC) show that HIV testing must start with an immunoassay combination test for HIV-1 and HIV-2 antibodies and p24 antigen. A negative result rules out HIV exposure, while a positive one must be followed by an HIV-1/2 antibody differentiation immunoassay to detect ...

  6. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  7. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    Here "T+" or "T−" denote that the result of the test is positive or negative, respectively. Likewise, "D+" or "D−" denote that the disease is present or absent, respectively. So "true positives" are those that test positive (T+) and have the disease (D+), and "false positives" are those that test positive (T+) but do not have the disease (D ...

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