[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126928-en":3,"doc-seo-126928-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},126928,2336474459895,"Aria","https://ap-avatar.wpscdn.com/avatar/22000baeef7a5ed0655?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786071322749376916",8,"Research & Report","A Framework of Epidemic Modeling Considering Preventive Behaviors - Compartmental Modeling, Text Analytics, and Machine Learning - Doctor of Philosophy Dissertation","A Framework of Epidemic Modeling Considering Preventive Behaviors presents a dissertation on epidemic modeling that integrates compartmental differential-equation approaches with text analytics and machine learning. The work is developed within Industrial and Systems Engineering and supported by university research resources, including experimental computing support. It frames preventive behaviors as an explicit modeling consideration, aiming to improve how outbreaks are represented computationally. The dissertation culminates in a structured academic submission for the Doctor of Philosophy degree.","UNIVERSITY OF OKLAHOMA  \nGRADUATE COLLEGE  \nAFRAMEWORKOFEPIDEMICMODELING CONSIDERING PREVENTIVE BEHAVIORS:  \nCOMPARTMENTAL MODELING, TEXT ANALYTICS, AND MACHINE LEARNING  \nA Dissertation  \nSubmitted to the Graduate Faculty  \nIn Partial Fulfillment of the Requirements for the Degree of  \nDoctor of Philosophy  \nBy HYEJIN CHO  \nNorman, Oklahoma  \nA FRAMEWORK OF EPIDEMIC MODELING CONSIDERING PREVENTIVE BEHAVIORS: COMPARTMENTAL MODELING, TEXT ANALYTICS, AND MACHINE LEARNING  \nA DISSERTATION APPROVED FOR THE  \nINDUSTRIAL AND SYSTEMS ENGINEERING  \nBY THE COMMITTEE CONSISTING OF  \nDr. Randa Shehab, Chair  \nDr. Charles Nicholson  \nDr. Shivakumar Raman  \nDr. Rui Zhu  \nDr. Dean Hougen  \nDr. Hairong Song  \n© Copyright by HYEJIN CHO 2024 All Rights Reserved.  \nA special feeling of gratitude goes to my loving mom and dad, Hyun J and Kye S, for being there whenever I found myself lost in the wilderness during my doctoral journey. A special thanks to my brother, Daniel Tae, my sister-in-law, and my nephew, for standing by me and encouraging me throughout my doctoral studies. I also dedicate this dissertation to my grandmother, Gemma Y, who ascended to heaven while I pursued my studies. I also thank all my family members, my grandmother and grandfather, my aunties and uncles, and many friends for cheering me on to complete this long marathon. Lastly, I dedicate my dissertation to the glory of God.  \nACKNOWLEDGMENTS  \nGrateful Acknowledgement is made to the School of Industrial and Systems Engineering at the University of Oklahoma for their very generous support of my doctoral study, and to the Data Science and Analytics Institute and the College of Engineering for providing exceptional resources and space to research and experiment.  \nI am equally indebted to friends and family. Special thanks to the wonderful staff, Melodi Franklin, so her fellow staff Jennifer Ille, and to my old friend, Cheryl Carney, everyone supportive. Thanks to Director Henry Neeman of the OU Supercomputing Center for helping me to utilize OSCER; to my beautiful mentor, Dr. Kimberly Wolfinbarger for her warm and encouraging lessons for teamwork and leadership; to Dr. Andres Gonzalez for allowing me to assist ISE5023; to Dr. Doyle Dodd, such a humorous and supportive mentor, for allowing me to assist ISE4804; to Dr. Theodore Trafalis, for sharing me with good books for optimization when we all evacuated to the Crossroads at the banquet; to Dr. Kash Barker, for supporting my doctoral study and organizing important seminars; to Dr. Christan Grant, for instructing me in CS5293 and answering all my questions throughout the course; to Dr. Talayeh Razzaghi, for providing me several references for early pieces of my study; to Dr. Ziho Kang, such a smart and caring advisor, for allowing me to assist ISE5663 and ISE5853; to Dr. Rui Zhu and Dr. Hairong Song, for agreeing to serve on my committee; to my committee, Dr. Charles Nicholson, who deftly edited several mathematical problems in my study; and to my committee, Director Dean Hougen, who cleverly guided me through the modeling processes for compartmental differential equations and helped me improve computational experiments; and especially to my wonderful supervisor, Dean Randa Shehab, such a brilliant and insightful advisor and life-changing mentor, who has believed in my study from the beginning and has guided me to shape my entire doctoral study to pursue my academic vision. It is to her that I have dedicated this dissertation, with grati-  \ntude. Finally, I would like to acknowledge my department head, Director Shivakumar Raman, who, after hearing my vision of pursuing Artificial Intelligence and Production and Healthcare Systems, looked me in the eye one day and introduced me to Dean  \nShehab.  \nTABLE OF CONTENTS  \n. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  \n. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  \n. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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