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Apiary Biosecurity: Notifiable Disease Network Map (2D)

Interactive 2D apiary contact-network model: tune hygiene, inspection frequency, statutory notification delay and quarantine radius to see how fast American foulbrood spreads across a drift-route graph before containment catches it.

Ecology & Conservation Biology2DModerate60 FPS⇄ 3D version

This 2D counterpart reframes the same real American-foulbrood biosecurity problem as an epidemic on an explicit contact graph rather than spatial particle drift in a 3D scene. Twenty hives sit as nodes on a drift-route network; hygiene sets the per-edge transmission chance, inspection frequency determines how fast a case is caught, and — the mechanic the 3D lab abstracts away — a statutory notification delay means the outbreak keeps spreading along the graph for real simulated days after detection before a hop-radius quarantine actually cuts the infected hive's edges. A live time-series chart shows the resulting outbreak curve, so you can see directly how a longer notification delay lets infections climb higher before containment bends the curve back down.

⚙ Under the hood

2D apiary contact-network model: twenty hives sit as nodes on a drift-route graph, and you tune hygiene, inspection frequency, statutory notification delay and quarantine radius to see how far American foulbrood spreads before a hop-radius lockdown actually cuts it off.

biosecurityapiary-managementnotifiable-diseaseamerican-foulbroodepidemic-networkbeekeeping-regulation

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install