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The Spatial Distribution of Health Narratives in Twitter and the Relationship to Corresponding Cancer Rates Across the United States: A Case Study of Cancer-related Communications

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dc.contributor.advisor Stefanidis, Anthony
dc.contributor.author Novak, David A Jr
dc.creator Novak, David A Jr
dc.date 2017-08-03
dc.date.accessioned 2017-12-21T20:13:47Z
dc.date.available 2017-12-21T20:13:47Z
dc.identifier doi:10.13021/G8TM3D
dc.identifier.uri https://hdl.handle.net/1920/10840
dc.description.abstract National Breast Cancer Awareness Month (BCAM) and Movember health campaigns in Twitter from the years 2015 and 2016 were studied to understand how tweets formed around these campaigns relate to cancer incidence ground truth data. Geolocated tweets were collected to characterize the spatial distribution at the state level of breast and prostate cancer related tweets, and comparisons were made between tweets and cancer incidence data to assess the relationship between tweet rate and state cancer incidence rates in the United States. It was hypothesized that states which participate the most in these cancer campaigns would exhibit higher cancer incidence rates; contrariwise, there was no correlation found between tweet rate and state cancer incidence rate for all four campaigns studied, indicating that these two variables did not exhibit a relationship in this study. A better understanding of health campaign participation and the relationship to cancer affected populations in Twitter can assist health professionals determine the effectiveness and impacts of health campaigns in Twitter.
dc.language.iso en en_US
dc.subject social media en_US
dc.subject health campaigns en_US
dc.subject geoinformatics en_US
dc.subject health awareness en_US
dc.subject geographic information systems en_US
dc.title The Spatial Distribution of Health Narratives in Twitter and the Relationship to Corresponding Cancer Rates Across the United States: A Case Study of Cancer-related Communications en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Geoinformatics and Geospatial Intelligence en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Geoinformatics and Geospatial Intelligence en_US
thesis.degree.grantor George Mason University en_US


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