Displaying results 3513 - 3520 of 4429
-
Syndromic Surveillance Shows Medical Surge in Dallas–Fort Worth during Hurricane Harvey, 2017
Content Type: Success Stories
Hurricane Harvey made landfall in Texas on August 25, 2017, resulting in 88 fatalities and more than $125 billion in damages to infrastructure. In Houston, flooding created a toxic mix of chemicals, sewage, biohazards, and 8 million cubic yards of… read more -
Kansas Uses Syndromic Surveillance Data to Educate the Public and Providers about Rabies
Content Type: Success Stories
Rabies is caused by a virus spread to people from the saliva and neural tissue of infected animals. The most common mode of transmission is through the bite of a rabid animal; however, rabies can be transmitted through non-bite exposures (e.g.,… read more -
Surveillance of Suicide Attempts and Ideation Presenting in Area Emergency Departments
Content Type: Success Stories
In 2015, Idaho was among the top 10 states for suicides in the United States. Suicide as the cause of death for teens and young adults in Idaho was exceeded only by accidental deaths. On average, one suicide death occurred among all ages every day.… read more -
Syndromic Surveillance of Non-traumatic Dental Conditions in Idaho Core Areas
Content Type: Success Stories
Access to dental care is a public health problem in Idaho because most of the state is experiencing a shortage of dental health professionals. The Idaho Oral Health program has anecdotal evidence that some Idahoans compensate for this shortage by… read more -
ESSENCE: Free Text Query Negation
Content Type: Training
Free text queries are performed by ESSENCE users very often. And increasingly, those free text queries are incorporating negation terms that allow the users to find case definitions when certain terms are not present. This video attempts to explain… read more -
Semantic Analysis of Open Source Data for Syndromic Surveillance
Content Type: Abstract
Social media messages are often short, informal, and ungrammatical. They frequently involve text, images, audio, or video, which makes the identification of useful information difficult. This complexity reduces the efficacy of standard information… read more -
Opioid Overdose Surveillance and Classification with R
Content Type: Webinar
Presented November 16, 2018. The current opioid overdose/addiction crisis in the United States presents a challenge to public health intervention due to a lack of data on current and past incidence. Very little information is known regarding what… read more -
A gentle introduction to using machine learning and NLP for health surveillance
Content Type: Webinar
Presented November 27, 2018. Unstructured data such as chief complaints and provider notes are an important component of effective Health surveillance. Applying machine learning (ML) and natural language processing (NLP) to unstructured data can… read more