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Navigating the Complexities of Pande...

Choi, Moongi,

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Navigating the Complexities of Pandemic Dynamics: An Integrated Agent-Based Modeling Framework for Spatially Explicit Risk Assessment and Mitigation at Multiple Scale /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Navigating the Complexities of Pandemic Dynamics: An Integrated Agent-Based Modeling Framework for Spatially Explicit Risk Assessment and Mitigation at Multiple Scale // Moongi Choi.
作者:	Choi, Moongi,
面頁冊數:	1 electronic resource (212 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:	Dissertations Abstracts International86-04B.
標題:	Geography. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31237065
ISBN:	9798384472247

Navigating the Complexities of Pandemic Dynamics: An Integrated Agent-Based Modeling Framework for Spatially Explicit Risk Assessment and Mitigation at Multiple Scale /
Choi, Moongi,

Navigating the Complexities of Pandemic Dynamics: An Integrated Agent-Based Modeling Framework for Spatially Explicit Risk Assessment and Mitigation at Multiple Scale /Moongi Choi. - 1 electronic resource (212 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

The global health crises highlighted by the COVID-19 pandemic underscores the necessity for dynamic, spatial strategies in infectious disease management. This dissertation presents an integrated Agent-Based Modeling (ABM) framework to explore pandemic dynamics, offering novel insights into spatially explicit risk assessment and mitigation across diverse scales. The first chapter addresses equifinality in ABM calibration, proposing a sequential parameter space search method. The methodology emphasizes the importance of calibration for spatially explicit representations in models, enhancing the reliability of validation. The second chapter utilizes machine learning to conduct sensitivity analysis for contact risk assessment in indoor settings, pinpointing key factors that exacerbate transmission. The third delves into indoor transmission dynamics, employing regression emulators to identify significant factors affecting the spread of respiratory diseases and evaluating preventive measures' efficacy. The final chapter proposes simulation models to reversely estimate mobility patterns corresponding to past COVID-19 peaks, identifying spatiotemporal travels and trip purposes crucial for guiding proactive future pandemic responses.Collectively, these independent yet interconnected studies advance our understanding of pandemic management. They emphasize the versatility of ABMs in simulating complex interactions and offer insights into the formulation of public health policies. This work contributes to the academic and practical discourse on pandemic preparedness, offering targeted strategies for health policymakers and practitioners. By making our models and data openly accessible, this dissertation aims to foster collaborative efforts towards a comprehensive global response to pandemics.

English

ISBN: 9798384472247Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Agent-Based Modeling

Navigating the Complexities of Pandemic Dynamics: An Integrated Agent-Based Modeling Framework for Spatially Explicit Risk Assessment and Mitigation at Multiple Scale /
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