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in subjects: "public health surveillance"  
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A Spatially Explicit Environmental Health Surveillance Framework for Tick-Borne Diseases

Description: In this paper, I will show how applying a spatially explicit context to an existing environmental health surveillance framework is vital for more complete surveillance of disease, and for disease prevention and intervention strategies. As a case study to test the viability of a spatial approach to this existing framework, the risk of human exposure to Lyme disease will be estimated. This spatially explicit framework divides the surveillance process into three components: hazard surveillance, ex… more
Date: August 2010
Creator: Aviña, Aldo
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods

Description: Understanding spatial perspectives on the spread and incidence of a disease is invaluable for public health planning and intervention. Choropleth maps are commonly used to provide an abstraction of disease risk across geographic space. These maps are derived from aggregated population counts that are known to be affected by the small numbers problem. Kernel density estimation methods account for this problem by producing risk estimates that are based on aggregations of approximately equal popul… more
Date: December 2014
Creator: Jones, Jesse Jack
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Automated Syndromic Surveillance using Intelligent Mobile Agents

Description: Current syndromic surveillance systems utilize centralized databases that are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health monitoring must extend beyond the borders of municipalities or states which will require the ability to store vasts amount of data and s… more
Date: December 2007
Creator: Miller, Paul
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Monitoring Dengue Outbreaks Using Online Data

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. … more
Date: May 2014
Creator: Chartree, Jedsada
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

The Influence of Disease Mapping Methods on Spatial Patterns and Neighborhood Characteristics for Health Risk

Description: This thesis addresses three interrelated challenges of disease mapping and contributes a new approach for improving visualization of disease burdens to enhance disease surveillance systems. First, it determines an appropriate threshold choice (smoothing parameter) for the adaptive kernel density estimation (KDE) in disease mapping. The results show that the appropriate threshold value depends on the characteristics of data, and bandwidth selector algorithms can be used to guide such decisions a… more
Date: December 2017
Creator: Ruckthongsook, Warangkana
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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