Displaying results 25 - 32 of 33
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Towards Automated Risk-Factor Surveillance: Using Digital Grocery Purchasing Data to Measure Socioeconomic Inequalities in the Impact of In-Store Price Discounts on Dietary Choice
Content Type: Abstract
Obesity and related chronic diseases cost Canadians several billion dollars annually. Dietary intake, and in particular consumption of carbonated sweetened drinks (soda), has a strong effect on the incidence of obesity and other illness. Marketing… read more -
A Novel Method for Defining Health Facility Catchment Areas in a Low Income Country
Content Type: Abstract
The catchment area of a health-care facility is used to assess health service utilization and calculate population-based rates of disease. Current approaches for catchment definition have significant limitations such as being based solely on… read more -
A Semantic Web Platform for Online Vaccine Sentiment Surveillance
Content Type: Abstract
Real-time monitoring and analysis of vaccine concerns over time and location could help immunisation programmes to tailor more effective and timely strategies to address specific public health concerns. In recent years attempts [1, 2] are being made… read more -
Monitoring Media Content About Vaccines in the United States: Data from the Vaccine Sentimeter
Content Type: Abstract
The success of public health campaigns in decreasing or eliminating the burden of vaccine-preventable diseases can be undermined by media content influencing vaccine hesitancy in the population. A tool for tracking and describing the ever-growing… read more -
The influence of address errors on detecting outbreaks of campylobacteriosis
Content Type: Abstract
Mandatory notification to public health of priority communicable diseases (CDs) is a cornerstone of disease prevention and control programs. Increasingly, the addresses of CD cases are used for spatial monitoring and cluster detection… read more -
Quantifying the potential benefit of early detection for preventing morbidity and mortality: a simulation study of cryptosporidium outbreak
Content Type: Abstract
Many studies evaluate the timeliness and accuracy of outbreak detection algorithms used in syndromic surveillance. Of greater interest, however, is defining the outcome associated with improved detection. In case of a waterborne cryptosporidiosis… read more -
A Framework for Detecting and Classifying Outbreaks of Gastrointestinal Disease
Content Type: Abstract
Outbreaks of waterborne gastrointestinal disease occur routinely in North America, resulting in considerable morbidity, mortality, and cost (Hrudey, Payment et al. 2003). Outbreak detection methods generally attempt to identify anomalies in time,… read more -
Towards a Framework for Data Quality Properties of Indicators used in Surveillance
Content Type: Abstract
Effective use of data for disease surveillance depends critically on the ability to trust and quantify the quality of source data. The Scalable Data Integration for Disease Surveillance project is developing tools to integrate and present… read more