Monitoring Dengue Outbreaks Using Online Data

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Description

Internet technology has affected humans' lives in many disciplines. The search engine is one of the most important Internet tools in that it allows people to search for what they want. Search queries entered in a web search engine can be used to predict dengue incidence. This vector borne disease causes severe illness and kills a large number of people every year. This dissertation utilizes the capabilities of search queries related to dengue and climate to forecast the number of dengue cases. Several machine learning techniques are applied for data analysis, including Multiple Linear Regression, Artificial Neural Networks, and the ... continued below

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xii, 116 pages : illustrations (chiefly color)

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Chartree, Jedsada May 2014.

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This dissertation is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 344 times . More information about this dissertation can be viewed below.

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  • Chartree, Jedsada

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Description

Internet technology has affected humans' lives in many disciplines. The search engine is one of the most important Internet tools in that it allows people to search for what they want. Search queries entered in a web search engine can be used to predict dengue incidence. This vector borne disease causes severe illness and kills a large number of people every year. This dissertation utilizes the capabilities of search queries related to dengue and climate to forecast the number of dengue cases. Several machine learning techniques are applied for data analysis, including Multiple Linear Regression, Artificial Neural Networks, and the Seasonal Autoregressive Integrated Moving Average. Predictive models produced from these machine learning methods are measured for their performance to find which technique generates the best model for dengue prediction. The results of experiments presented in this dissertation indicate that search query data related to dengue and climate can be used to forecast the number of dengue cases. The performance measurement of predictive models shows that Artificial Neural Networks outperform the others. These results will help public health officials in planning to deal with the outbreaks.

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xii, 116 pages : illustrations (chiefly color)

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UNT Theses and Dissertations

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  • May 2014

Added to The UNT Digital Library

  • March 8, 2015, 5:44 p.m.

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  • Nov. 15, 2016, 10:27 p.m.

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Chartree, Jedsada. Monitoring Dengue Outbreaks Using Online Data, dissertation, May 2014; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc500167/: accessed May 20, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .