| Description: | Traditional Public Health decision-support can benefit from the Web and social media revolution. This dissertation presents approaches to mining social media benefiting public health epidemiology. Through discovery and analysis of trends in Influenza related blogs, a correlation to Centers for Disease Control and Prevention (CDC) influenza-like-illness patient reporting at sentinel health-care providers is verified. A second approach considers personal beliefs of vaccination in social media. A vaccine for human papillomavirus (HPV) was approved by the Food and Drug Administration in May 2006. The virus is present in nearly all cervical cancers and implicated in many throat and oral cancers. Results from automatic sentiment classification of HPV vaccination beliefs are presented which will enable more accurate prediction of the vaccine's population-level impact. Two epidemic models are introduced that embody the intimate social networks related to HPV transmission. Ultimately, aggregating these methodologies with epidemic and social network modeling facilitate effective development of strategies for targeted interventions. |
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| Creator(s): | Corley, Courtney David |
| Creation Date: | August 2009 |
| Partner(s): |
UNT Libraries
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| Collection(s): |
UNT Theses and Dissertations
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| Usage: |
Total Uses: 1,240
Past 30 days: 40
Yesterday: 2
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| Publisher Info: |
Publisher Name: University of North Texas
Place of Publication: Denton, Texas
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| Original Creation Date: | August 2009 | |
| Description: | Traditional Public Health decision-support can benefit from the Web and social media revolution. This dissertation presents approaches to mining social media benefiting public health epidemiology. Through discovery and analysis of trends in Influenza related blogs, a correlation to Centers for Disease Control and Prevention (CDC) influenza-like-illness patient reporting at sentinel health-care providers is verified. A second approach considers personal beliefs of vaccination in social media. A vaccine for human papillomavirus (HPV) was approved by the Food and Drug Administration in May 2006. The virus is present in nearly all cervical cancers and implicated in many throat and oral cancers. Results from automatic sentiment classification of HPV vaccination beliefs are presented which will enable more accurate prediction of the vaccine's population-level impact. Two epidemic models are introduced that embody the intimate social networks related to HPV transmission. Ultimately, aggregating these methodologies with epidemic and social network modeling facilitate effective development of strategies for targeted interventions. |
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| Degree: |
Name:
Doctor of Philosophy
Level:
Doctoral
Discipline:
Computer Science and Engineering
Department:
Department of Computer Science and Engineering
Grantor:
University of North Texas
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| Keyword(s): | sentiment analysis | public health | simulation | epidemic models | |
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| Partner: |
UNT Libraries
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| Collection: |
UNT Theses and Dissertations
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| Resource Type: | Thesis or Dissertation | |
| Format: | Text | |
| Rights: |
Access:
Public
License:
Copyright
Holder:
Corley, Courtney David
Statement:
Copyright is held by the author, unless otherwise noted. All rights reserved.
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