covid test 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: 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 3: 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.