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ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
Joseph Maffetone, Julia Gersey, Pei Zhang
https://arxiv.org/abs/2505.20319

ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
ZV-Sim is an open-source, modular Python framework for probabilistic simulation and analysis of pre-emergent novel zoonotic diseases using pervasive sensing data. It incorporates customizable Human and Animal Presence agents that leverage known and simulated location data, contact networks, and illness reports to assess and predict disease origins and spread. The framework supports Monte Carlo experiments to analyze outcomes with various user-defined movement and probability models. Although in…