ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915305921445888 |
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| author | Maffetone, Joseph Gersey, Julia Zhang, Pei |
| author_facet | Maffetone, Joseph Gersey, Julia Zhang, Pei |
| contents | 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 initial models are basic and illustrative, ZV-Sim's extensible design facilitates the integration of more sophisticated models as richer data become available, enhancing future capabilities in zoonotic disease tracking. The source code is publicly available \href{https://github.com/jmaff/zv-sim}{\underline{\textit{here}}}. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_20319 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking Maffetone, Joseph Gersey, Julia Zhang, Pei Quantitative Methods Systems and Control 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 initial models are basic and illustrative, ZV-Sim's extensible design facilitates the integration of more sophisticated models as richer data become available, enhancing future capabilities in zoonotic disease tracking. The source code is publicly available \href{https://github.com/jmaff/zv-sim}{\underline{\textit{here}}}. |
| title | ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking |
| topic | Quantitative Methods Systems and Control |
| url | https://arxiv.org/abs/2505.20319 |