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. 2021 Nov 15;15(11):e0009968. doi: 10.1371/journal.pntd.0009968

Table 1. Parameters and assumptions for use case 1: stopping IDA.

Calculations were based on testing a 1% infection prevalence threshold and considered two potential scenarios:
    • "Single test" approach in which a new assay would replace the current tools (i.e., FTS/BRT) in the TAS; and
    • "Decision confirmatory test" approach in which the new diagnostic test would be used as a decision confirmatory assay on individuals testing positive by FTS/BRT. Results of the confirmatory test would be used to make a program decision at a population level as opposed to an individual clinical treatment decision or confirmation of the first test result.
Assumptions made for sensitivity and specificity calculations:
    • FTS/BRT is 90% sensitive for detecting Mf-positive individuals; FTS specificity 100% outside of Loa loa co-endemic areas
    • Survey design: 30-cluster; equal probability of selection
    • “Single test” approach: 80% power to correctly conclude that a defined population with a true prevalence ≤0.2% (ideal) or = 0% (minimum) is below the 1% threshold
    • “Decision confirmatory test” approach: 80% power to correctly conclude that a defined population with a true prevalence ≤0.5% (ideal) or ≤ 0.2% (minimum) is below the 1% threshold
    • α ≤5% (i.e., Type 1 error rate); meaning that using this diagnostic test, the survey would incorrectly conclude that prevalence in a defined population is below the 1% threshold <5% of the time