Retkute, R.; Omondi, A. B.; Zandjanakou-Tachin, M.; Agoi, U. R.; Staver, C.; Kumar, P. L.; Thomas, J. E.; Gilligan, C. A.

Banana bunchy top virus (BBTV) continues to threaten smallholder livelihoods and food security across sub-Saharan Africa. While clean-seed programmes are widely promoted, their long-term effectiveness is often compromised by rapid reinfection in endemic landscapes. We developed an integrated framework combining spatially explicit, stochastic epidemiological modelling with additional cost-benefit analysis and use of socio-behavioural data to evaluate strategies for stabilising production. Our results demonstrate that frequent monthly inspections and accurate symptom detection are essential for disease suppression. Crucially, the economic analysis reveals that prioritizing diagnostic competence as an economic asset is necessary: improving detection efficiency can more than double farmer net revenue under realistic market conditions. Socio-behavioural findings further confirm that a farmer's ability to correctly recognise symptoms is the strongest predictor of roguing adoption, far outweighing demographic characteristics. These results provide quantifiable guidance for disease management and highlight that the sustainability of clean-seed interventions hinges on shifting policy from simple seed replacement to investing in farmer diagnostic capacity. Strengthening this local surveillance capability transforms informal seed systems into resilient, durable tools for safeguarding household nutrition and regional food security.