Displaying results 273 - 280 of 367
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Qatar experience on MERS-CoV One Health Surveillance and Response, 2012 - 2015
Content Type: Case Study
The emergence of the Middle East Respiratory Syndrome Corona Virus (MERS-CoV) in 2012 had placed a great concern on the public health institutions globally and in particular in the Arab region. The gaps in knowledge related to the novel virus put… read more… _x__ Cross-Agency Communication and Collaboration _x_ Training and Resources _x__ Technologies and Methodologies … slaughter house, camel race, and at the ports of entry, training of animal and human health practitioners on early … -
Syndromic Surveillance Shows Rise in Emergency Department Visits after Case of Ebola
Content Type: Success Stories
The first Ebola virus case on American soil was confirmed September 30, 2014, in a 45-year-old man. He had entered the country on September 20, 2014, from Liberia. Feeling ill, he visited a Dallas, Texas, hospital 5 days later where he was released… read more… Region 2/3 syndromic surveillance data and associated ESSENCE analytics through the North Texas Syndromic … Region 2/3 syndromic surveillance data and associated ESSENCE analytics through the North Texas Syndromic … -
CDC Opioid v2
Content Type: Syndrome
THE KNOWLEDGE REPOSITORY HAS BEEN UPDATED TO INCLUDE CDC OPIOID V3 - THE UPDATED SYNDROME DEFINITION CAN BE FOUND HERE. States currently funded by… read more… Exclusions Chief complaint Exclude See list below in ESSENCE code (many exclusions were required for “oxy” and “fent”) Table 2. ESSENCE query for suspected opioid overdose … -
The "One Health" experience in India: A partnership among veterinarians, pysicians and other healthcare professionals in curbing Vector Borne Zoonoses
Content Type: Case Study
Kyasannur Forest Disease (KFD) is a tick borne viral disease first reported in Shimoga district of Karnataka, India. On January 6th 2015, the disease has spread to neighbouring state, Kerala and a forest guard from Sulthan Bathery, Wayanad who had… read more… _x__ Cross-Agency Communication and Collaboration ___ Training and Resources ___ Technologies and Methodologies … Centre for One Health Education, Advocacy, Research and Training (COHEART) organized a stakeholder workshop and … -
The Big Picture: Using Antibiotic Use and Surveillance Data to Better Inform Stewardship in Healthcare Settings
Content Type: Webinar
The Centers for Disease Control and Prevention (CDC) estimates that antibiotic-resistant infections affect 2 million people and cause 23,000 deaths annually in the United States. It is well documented that the primary driver of antibiotic resistance… read more… Ann Family Med 2015; 13(3) 221-7. Communication training as a public health intervention? � Enhanced communications training reduces antibiotic prescribing for respiratory … and feedback � Clinical decision support � Communications training � Public commitments � Combined interventions are … -
Modeling surveillance networks for Human African Trypanosomiasis control in Northern Uganda
Content Type: Case Study
The multiple forms of Human African Trypanosomiasis (human T.b. gambiense and zoonotic T.b. rhodesiense, as well as the several strains which cause disease in animals) that occur in Uganda make coordinating the scientific and developmental, human… read more… _X__ Cross-Agency Communication and Collaboration _X__ Training and Resources _X__ Technologies and Methodologies … levels in remote areas at most risk. • More frequent training of health staff at front-line facilities is needed … -
Resolving the 'Boy Who Cried Wolf' Syndrome
Content Type: Abstract
To date, most syndromic surveillance systems rely heavily on complicated statistical algorithms to identify aberrations. The assumption is that when the statistics identify something unusual, follow-up should occur. However, with multiple strata… read more… phrases, and combinations of variables were used to train the natural language processor (NLP) on which records … and alerting thresholds needed to cause a flag and (2) training the NLP to return a list of key chief complaints … -
Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions
Content Type: Webinar
Presented May 24, 2018. Mauricio Santillana, MS, PhD describes machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic… read more… (Massachusetts and Boston) Highlights: (a) dynamic-moving training window, (b) automatic feature selection, (c) … Jon Bickel, and Ben Reis Split data for modeling Training/Fitting Testing In collaboration with: Sam Tideman, …