coronavirus testing code example
Example 1: covid test
TO UNDERSTAND THE ISSUE AT A HIGH LEVEL, TWO SIMPLISTIC EXAMPLES...
EX1: Of 1000 ASYMPTOMATIC...
if rapidTest *sensitivity* is 80%... 20% will have false negatives
assume 1% of pop are positive ( @ 2% - false positives)
if rapidTest *specificity* is 100% all infection-free would test negative)
from the pre-test probability (1%)
10 in 1000 will have it, 990 will not
considering the 80% sensitivity
8 will test positive,
2 will test negative (false negatives)
Of the 990, 100% test negative ( *specificity* is 100%)
Example 2: testing
Process that checks the quality, performance
and reliability of Software. Software testing
evaluates the quality of the application and improves
the quality. allows to get actual results instead of expected.
Example 3: Covid test
simplistic/explanatory examples in another answer ("Bayes Covid")
*Sensitivity* impacts false negatives and *Specificity* impacts false positives
Sensitivity is 63% for a nasopharyngeal swab and 31% for a throat swab, meaning
a false sense of security can result from you "passing" your Covid test.
With little *precedence* we cant “rule out illness” given a negative test result.
(NPV) is LOW & the probability of being free of disease is UNDETERMINED.
Example 4: covid test
low pre-test probability (10–20%)...
asymptomatic individuals in a presumed low prevalence environment
moderate pre-test probability (40–60%)
cough and fever in a city/jurisdiction with known cases
high pre-test probability (80–90%)
may include a patient with fever, cough, shortness of breath,
with a known close contact with confirmed COVID19.
Example 5: coronavirus testing
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