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. 2026 Jul 22;25:371. doi: 10.1186/s12936-026-06065-x

Table 2.

Target product profile for test procedure and additional characteristics of a gene drive rapid diagnostic test

Feature Minimally essential Ideal Considerations
Reagent reconstitution All reagents supplied, with minimal reconstitution All reagents are immediately ready to use Access to pure water or other reagents cannot be relied upon
Time to result from test initiation  < 120 min  < 30 min Tests are intended to be used on brief visits to field sites
Result validity stability Up to 30 min Up to 24 h Flexibility in readout times will enable parallel workstreams, such as setting up multiple tests simultaneously
Invalid rate  ≤ 5% technical failure rate  ≤ 1% technical failure rate Low invalid rate is required due to the relatively high cost of sample collection and brief site visits
Additional characteristics
Operating conditions 15–40ºC, 80% relative humidity 15–40ºC, 80% relative humidity The test must work in tropical conditions
Test kit stability and storage conditions No cold chain (15 to 30ºC), test kit stable for at least 6 months Same as minimally essential, but stable for at least 24 months The test components should remain stable despite unfavorable transport and storage conditions
Quality control An internal control to confirm the validity of the test and processing Same as minimally essential, but with each test having a unique identifier The competence of the operator will vary, and incorrect use should be indicated; ID will ensure logged results are unique and correctly attributed
Remote connectivity capacity No additional features App-based communication to a central database with metadata such as GPS location Data stored locally and transmitted upon obtaining cell signal. Compiled test results available to relevant stakeholders
Cost per test Compatible with routine surveillance budgets, indicatively ≤ 5 USD per test for consumables 1–2 USD per test for consumables Costs exclude personnel, transport, confirmatory laboratory testing, and data management. Monitoring demand scales with the number of sites, sampling frequency, and duration of follow-up