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This is just ver to preliminary work and it’s a little concerning the way they’re reporting the results. “94% accuracy” doesn’t mean a whole lot. Does that mean they successfully detected 94% of the COVID samples, or that they got a false positive 6% of the time? The false-positive/ false-negative rate should always be reported in studies like this because while a false positive is not a huge deal (most analytical machines have pretty big false-positive errors to be as thorough as possible), false negatives are super dangerous especially with something like high infectivity like COVID. Detection dogs often drop their success rates once they’re out of the laboratory, so this is a very preliminary study that will require a lot more effort to translate into real detection efforts.

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