Uncompensated Takings: Insurance, Efficiency, and Relational Justice
In: Texas Law Review, Forthcoming
22 Ergebnisse
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In: Texas Law Review, Forthcoming
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In: The Philosophical Foundations of Property Law, 2013
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In: Columbia Law Review, Band 113, S. 593
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In: Maritime studies, Band 1990, Heft 51, S. 8-11
ISSN: 0810-2597
In: FRB of Philadelphia Working Paper No. 24-10
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In: The journal of trading: JOT, Band 6, Heft 2, S. 65-83
ISSN: 1559-3967
In: The journal of trading: JOT, S. 110317043057066
ISSN: 1559-3967
In: Urban history, Band 10, S. 175-176
ISSN: 1469-8706
In: The annals of the American Academy of Political and Social Science, Band 669, Heft 1, S. 75-92
ISSN: 1552-3349
Asthma is one of the most common chronic diseases that has a profound impact on people's well-being and our society. In this study, we link multiple large-scale data sources to construct an epidemiological model to predict asthma prevalence across geographic regions. We use: (1) the Social Media Monitoring (SMM) data from Twitter ( N = 500 million tweets/day), (2) the 2014 Behavioral Risk Factor Surveillance System (BRFSS) ( N = 464,664), and (3) the 2014 American Community Survey (ACS) conducted by the U.S. Census Bureau ( N = 3.5 million per year). We predict asthma prevalence in the traditional survey (BRFSS) using social media information collected from Twitter and socioeconomic factors collected from ACS. The evidence suggests that monitoring asthma-related tweets may provide real-time information that can be used to predict outcomes from traditional surveys.
Front Cover; TItle Page; Copyright Page; Sponsors; Contents; Introduction; Chapter One; Chapter Two; Chapter Three; Chapter Four; Chapter Five; Chapter Six; Chapter Seven; Chapter Eight; Chapter Nine; Chapter Ten; Chapter Eleven; Chapter Twelve; Chapter Thirteen; Chapter Fourteen; Chapter Fifteen; Chapter Sixteen; Chapter Seventeen; Chapter Eighteen; Chapter Nineteen; Chapter Twenty; Chapter Twenty-one; Chapter Twenty-two; Chapter Twenty-three; Contributors; Index
In: Journal of transport and land use: JTLU, Band 7, Heft 2, S. 1-2
ISSN: 1938-7849
This special section of the Journal of Transport and Land Use focuses on location choice modeling underlying activity-travel behavior and includes five manuscripts that were originally presented in Toronto, Canada at the Thirteenth International Conference on Travel Behaviour Research, organized by the International Association for Travel Behaviour Research (IATBR).
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About the Author Payton Jay Dison hails from Henry County, Georgia and is currently pursuing a B.A. in English with a focus on professional communication. He is a member of the Sigma Alpha Epsilon fraternity and interested in video games, soccer, and studying other languages. Fred Smithberg is a retired military officer and commercial pilot, currently participating in Armstrong's Over Sixtytwo Program. Michael Chase Freeman is graduating with honors from Armstrong University with a B.A. in Liberal studies with a focus in History and minors in anthropology and biology. His focus is in archaeology and physical anthropology with an interest in ancient history. Brian Lee is a junior history major at Armstrong State University. He plans on pursuing a master's degree after finishing the undergraduate program.
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