%0 Journal Article
%T Containment before Release: Designing Reversible, Localized, and Threshold-Dependent Genetic Strategies for Mosquito Population Control
%A Johan Mertens
%A Sylvie Dubois
%A Pieter De Smet
%A Lukas Wouters
%J Entomology and Applied Science Letters
%@ 2349-2864
%D 2026
%V 13
%N 2
%R 10.51847/FERaG9ZVOv
%P 55-65
%X Genetic mosquito control can amplify an intervention through inheritance, creating a distinctive mismatch between the location of release and the eventual scale of exposure. This article develops a containment-first decision architecture for assessing genetic strategies before environmental release. The contribution is conceptual and evidence-grounded rather than empirically validated. It distinguishes temporal self-limitation, release-threshold dependence, spatial localization, molecular interruption, ecological recovery, and institutional authorization as related but non-equivalent constructs. The analysis argues that containment cannot be inferred from a construct label or a successful cage outcome. Instead, a defensible claim requires evidence about multigeneration persistence, migration sensitivity, threshold robustness, ecological pathways, evolutionary failure, countermeasure feasibility, monitoring power, and governance capacity. A sequence of pre-release gates is proposed to convert these evidence domains into explicit decision records while preserving a separate authorization boundary. The architecture also links post-release observations to redesign, pause, stop, remediation, and recovery obligations. Its central proposition is that genetic mosquito control should move toward open-environment testing only when the expected exposure envelope, residual uncertainty, and feasible response options are jointly specified. The architecture remains non-validated and should be evaluated through retrospective case analysis, prospective contained studies, and jurisdiction-specific governance research.
%U https://easletters.com/article/containment-before-release-designing-reversible-localized-and-threshold-dependent-genetic-strateg-avbmiztkwpzfk6n