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  2. More ER patients in Florida test positive for COVID. The ...

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    A medical professional administers a nasal swab to a person at the Tropical Park Nomi Health COVID-19 Testing Location in Miami, Florida, on Thursday, January 5, 2023.

  3. Florida COVID weekly update: Miami-Dade transmission risk ...

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    Here’s where death rates and tolls stand in South Florida and Manatee County, according to the CDC: Miami-Dade’s death toll is 11,963, an increase of 15 deaths from last Friday’s report.

  4. What Really Causes a False Positive COVID-19 Test? Experts ...

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    False positive COVID-19 tests—when your result is positive, but you aren’t actually infected with the SARS-CoV-2 virus—are a real, if unlikely, possibility, especially if you don’t perform ...

  5. Template:COVID-19 pandemic data/Florida medical cases by ...

    en.wikipedia.org/wiki/Template:COVID-19_pandemic...

    These figures were reported by the Florida Department of Health on March 7, 2021, except where noted otherwise. [ 1 ] [ 2 ] ^ County where individuals with a positive case reside, not necessarily where they were diagnosed or infected.

  6. Statistics of the COVID-19 pandemic in the United States

    en.wikipedia.org/wiki/Statistics_of_the_COVID-19...

    The CDC estimates that, between February 2020 and September 2021, only 1 in 1.3 COVID-19 deaths were attributed to COVID-19. [2] The true COVID-19 death toll in the United States would therefore be higher than official reports, as modeled by a paper published in The Lancet Regional Health – Americas . [ 3 ]

  7. Template:COVID-19 pandemic data/United States/Florida medical ...

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  8. Are False Positive Covid Tests Common? Doctors Explain. - AOL

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    A false positive Covid-19 test result can happen, but it’s rare, says Brian Labus, Ph.D., M.P.H., assistant professor at the University of Nevada Las Vegas School of Public Health.

  9. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.