Why Specificity Matters in COVID-19 antibody testing
Test quality and accuracy are paramount to minimize risks of inaccurate results.

Why Specificity Matters in COVID-19 antibody testing
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A good antibody test is one that has a high degree of sensitivity and specificity.

Sensitivity vs Specificity

  • Test sensitivity indicates the ability of the test to correctly identify patients that have the disease. A test’s sensitivity is also known as the true positive rate. If a diagnostic test correctly identified 100% of all positive results, it would be as sensitive as possible.
  • Test specificity indicates the ability of the test to correctly identify patients that do not have the disease. If a test correctly identifies all people without the disease as negative, it would be as specific as possible.

Specificity in COVID-19 testing

For SARS-CoV-2 antibody testing, the CDC suggests use of tests with a specificity ≥99.5% to minimize the potential for false-positive results.1

There are numerous tests that claim to detect antibodies to the SARS-CoV-2 virus; only a few are highly accurate:

How do highly specific antibody tests support good performance, even with low disease prevalence?

Let’s look at what happens in two cities, one with a 5% disease prevalence, another with 10% prevalence.

What happens when the population is tested with an assay that has higher specificity of 99.8%?

A highly specific test minimizes inaccurate results. With a higher disease prevalence, fewer people will experience incorrect results.

What happens when the specificity is reduced to 96%?

A 96% specificity may seem high, but a difference of as small as 3 to 4 percent can create dramatic changes in test results.

The model above assumes assay sensitivity of 100%


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1Accessed July 8, 2020: https://www.cdc.gov/coronavirus/2019-ncov/lab/resources/antibody-tests-guidelines.html

2Accessed July 8, 2020: https://www.fda.gov/medical-devices/emergency-situations-medical-devices/eua-authorized-serology-test-performance