Displaying results 4289 - 4296 of 4429
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The Burden of Seasonal Respiratory Pathogens on a New National Telehealth System
Content Type: Abstract
Seasonal rises in respiratory illnesses are a major burden on primary care services. Public Health England (PHE), in collaboration with NHS 111, coordinate a national surveillance system based upon the daily calls received at the NHS 111 telehealth… read more -
The Epidemiologic Charateristics, Healthcare Associated and Household Transmission Dynamics of EVD Outbreak in a South-Southern City of Nigeria
Content Type: Abstract
Ebola virus disease (EVD) is a severe illness that spread in the human population through human-to-human transmission. In the past, EVD outbreaks occurred in the rural communities of Africa, near tropical rainforests, but the most recent outbreak in… read more -
The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department
Content Type: Abstract
In recent years, the threat of pandemic influenza has drawn extensive attention to the development and implementation of syndromic surveillance systems for early detection of ILI. Emergency department (ED) data are key components for syndromic… read more -
The Impact of Standardized Decision Support on Syndromic Surveillance in Alberta
Content Type: Abstract
Syndromic surveillance uses pre-diagnostic data to inform communicable disease prevention and control. Among health zones in the province of Alberta, Canada, practices employed by public health when using elementary school illness-cause absenteeism… read more -
The Public Health Community Platform: Implementing Electronic Case Reporting
Content Type: Abstract
The PHCP is a community-led initiative to provide shared infrastructure, services, and applications to the public health community as solutions for complex public health informatics problems. The project has progressed by establishing a governance… read more -
Data quality monitoring for syndromic surveillance using R: A tidy approach
Content Type: Webinar
Presented July 27, 2017. The inferences we make from data can only be as good as the quality of the data; making sure that we are receiving timely, quality data is important. In this presentation, Mark White will describe a number of… read more -
Machine Learning in R: Detecting Carbon Monoxide Poisoning in Syndromic Surveillance Data
Content Type: Webinar
Presented January 26, 2017. This presentation will describe the steps involved in machine learning and will include a demo an application to detect carbon monoxide poisoning in the Kansas syndromic surveillance data. read more -
Exploring Chief Complaint Word Co-occurence Visualizations
Content Type: Webinar
Presented October 28, 2016. We are going to briefly explore the tidytext, widyr, and flexdashboard packages to analyze word co-occurrence, look at ngrams, and then visualize the results in word network graphs. Looking at your data in this way can… read more