Displaying results 809 - 816 of 826
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Preventing blindness due to diabetic retinopathy in India: Need for a paradigm shift
Content Type: Webinar
Estimates suggest that there are 65 million persons living with diabetes in India and 6 million are at risk of going blind due to retinopathy. Recent studies highlight that 45% persons with diabetes are already blind when they present to an eye care… read more… 4" 3" 3" 1" Cataract" Undeterm" Glaucoma" AMD" Childhood" Cor"Opac" Ref"Err" Trachoma" DR" … -
Applications of Likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling
Content Type: Webinar
Presented June 21, 2019. In this talk, Dr. Daihai He presents his recent works on applications of likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling. Examples include modeling of the transmission… read more… Y el lo w F ev er c as es 25 50 75 100 V ac ci na tio n co ve ra ge ( % ) Vaccination Campaign 0 5 10 D ea th s Jan … -
Discovering the New Frontier of Syndromic Surveillance (Pt 4): A Meaningful Use Dialogue on the New York City Implementation
Content Type: Webinar
Our final Meaningful Use Dialogue will provide insight into New York City’s use of ambulatory EHR records. Steve Di Lonardo and Dr. Winfred Wu plan to discuss the potential benefits, limitations and challenges of extracting data from ambulatory… read more -
Automated Syndromic Surveillance System in Los Angeles County
Content Type: Abstract
The Los Angeles County (LAC) Bioterrorism Preparedness and Response Unit has made significant progress in automating the syndromic surveillance system. The surveillance system receives electronic data on a daily basis from different hospital… read more… REFERENCES [1]. Hutwagner L, Seeman GM, Thompson WW, Treadwell T. A simulation model for assessing aberration … -
An Emergency Department Based Syndromic Surveillance System for Meningitis and Encephalitis, Maricopa County, AZ 2004
Content Type: Abstract
We developed, implemented and evaluated Meningitis and Encephalitis (M/E) syndrome case definitions based on electronic Emergency Department (ED) chief complaint data; and assessed their ability to detect aberrations that correspond with M/E… read more… Symposium. 2001; 164-8. [3] Ivanov O, Wagner MM, Chapman WW, Olszewski RT, Accuracy of three classifiers of acute … -
Detection Abilities of Several Commonly Used Algorithms as Determined by Simulation Analysis
Content Type: Abstract
The Public Health Agency of Canada is currently utilizing a syndromic surveillance prototype called the Canadian Early Warning System (CEWS). This system monitors several live data feeds, including emergency room chief… read more… system. References: 1. Hutwagner LC, Thompson WW, Seeman GM, Treadwell T. A simulation model for assessing … -
Accuracy versus Timeliness for Influenza Detection: A Comparison of Hospital Syndromic Surveillance Data with Discharge Data
Content Type: Abstract
Hospital syndromic surveillance data may be a useful tool in detecting increases in influenza-like-illness (ILI) and for monitoring seasonal trends or pandemic activity on a local level. A previous comparison of hospital… read more… Control and Hosp Epidemiol 2006; 27:266-270. [3] Thompson WW, Shay DK, Weintraub E, et al. Influenza- associated … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more… to structured data sources. References 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple …