Biomedical
Parham Habibzadeh,
Peer Reviewed
Serologic tests are important for conducting seroepidemiologic and prevalence studies. However, the tests used are typically imperfect and produce false-positive and false-negative results. This is why the seropositive rate (apparent prevalence) does not typically reflect the true prevalence of the disease or condition of interest. Herein, we discuss the way the true prevalence could be derived from the apparent prevalence and test sensitivity and specificity. A computer simulation based on the Monte-Carlo algorithm was also used to further examine a situation where the measured test sensitivity and specificity are also uncertain. We then complete our review with a real example. The apparent prevalence observed in many prevalence studies published in medical literature is a biased estimation and cannot be interpreted correctly unless we correct the value.
Show by month | Manuscript | Video Summary |
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2024 December | 39 | 39 |
2024 November | 44 | 44 |
2024 October | 17 | 17 |
Total | 100 | 100 |
Show by month | Manuscript | Video Summary |
---|---|---|
2024 December | 39 | 39 |
2024 November | 44 | 44 |
2024 October | 17 | 17 |
Total | 100 | 100 |