Table 2. Parameters and assumptions for use case 2: Surveillance.

Assumptions made in sensitivity and specificity calculations:     • The diagnostic test would be used to identify evidence of transmission hotspots; calculations assume a lot quality assurance sampling approach where the goal is the upper 1-sided confidence interval of the prevalence is <5%     • The calculations account for a finite population correction for village level prevalence; villages population sizes 300 to 5,000 people were considered     • α ≤5% (i.e., Type 1 error rate); this means that using this diagnostic test, the survey would incorrectly conclude prevalence in a defined population is below the 5% threshold <5% of the time     • 80% power to correctly conclude prevalence is below the 5% threshold in a defined population with a true prevalence ≤2% (ideal); and ≤1% (minimum)