TY  - JOUR
T1  - A Digital Twin of Mosquito-Borne Disease Control Linking Vector Life Cycles, Insecticide Resistance, Human Mobility, Weather, and Intervention Feedback
A1  - Andrew Miller
A1  - Jessica Davis
A1  - Daniel Carter
A1  - Siti Rahman
JF  - Entomology and Applied Science Letters
JO  - Entomol Appl Sci Lett
SN  - 2349-2864
Y1  - 2026
VL  - 13
IS  - 1
DO  - 10.51847/SNJdGqW4n8
SP  - 86
EP  - 98
N2  - Mosquito-control decisions are made within biological and operational systems that change across life stages, locations, weather conditions, movement patterns, intervention histories, and surveillance cycles. Existing predictive models can represent selected parts of this complexity, but they are commonly separated from one another, updated irregularly, or interpreted beyond the conditions under which their outputs are valid. This architecture article addresses the resulting gap by proposing an evidence-grounded mosquito-control digital twin that links vector life-cycle states, environmental and habitat inputs, human mobility, insecticide resistance, intervention response, surveillance assimilation, state updating, simulation feedback, validation, and governance. The approach integrates mechanistic biological representation with multimodal observations and data-driven updating while preserving the distinction between observed quantities, latent state estimates, inferred relations, and proposed architectural components. The strongest defensible synthesis is that mosquito control requires a dynamic, spatially connected, and uncertainty-aware representation because environmental forcing, population processes, movement, resistance, and intervention effects vary across species, populations, places, time scales, and measurement systems. However, increased simulation detail does not establish real-world control effectiveness; state estimation does not provide complete observability; assimilation may reproduce surveillance bias; and an architectural specification does not constitute an operationally validated system. The principal implication is that development should proceed through modular validation, explicit parameter and data provenance, prospective testing, human authorization, monitoring, and rollback rather than through unqualified automation. The proposed structure is therefore a bounded scholarly architecture for organizing evidence, hypotheses, updating processes, and decision evaluation, not a deployment-ready mosquito-control platform.
UR  - https://easletters.com/article/a-digital-twin-of-mosquito-borne-disease-control-linking-vector-life-cycles-insecticide-resistance-sfbmwwnfklzlrys
ER  -