Displaying results 1849 - 1856 of 4182
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Approach to zoonoses in the context of One Health
Content Type: Case Study
Zoonotic diseases constitute about 70% of the emerging or reemerging diseases in the world; they affect many animals, cause many economic loses, and have a negative effect on public health. As a tropical country, Cuba is not exempt from the… read more -
Better, Stronger, Faster: Making the Case for Adding Data Fields to Syndromic Surveillance, NJ 2015
Content Type: Case Study
NJDOH created a custom classification in EpiCenter to detect synthetic cannabinoid-related ED visits using chief complaint data. DOH staff included the keywords black magic, black mamba, cloud 9, cloud 10,incense, k2, legal high, pot potpourri,… read more -
CEDESAP and REDesastres network with 'One Health" surveillance approach for the sanitary risk reduction in the agricultural sector
Content Type: Case Study
CEDESAP-REDesastres was developed as a result of the holistic approach needed to cope increases of sanitary disaster risks by emerging and reemerging diseases animal and plant diseases with high negative impact on human health, as well as other… read more -
Applications of Bayesian Statistics for Biosurveillance
Content Type: Webinar
For its January 2010 meeting, the ISDS Research Committee hosted a topical webinar on the "Applications of Bayesian Statistics for Biosurveillance," to address questions including:- How can I combine recent trends with historical data…
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An Evaluation of the Biosense 2.0 "Poisoning by Medicines" Syndrome Using Chief-Complaint Data in Utah
Content Type: Abstract
BioSense 2.0 uses predetermined syndromes based upon ICD-9 codes and chief complaint data to allow users to view and analyze data from emergency department (ED) visits, yet further validations of these syndromes are needed. Previous studies have… read more -
Analytics, Machine Learning & NLP -- use in BioSurveillance and Public Health practice
Content Type: Abstract
Currently, there is an abundance of data coming from most of the surveillance environments and applications. Identification and filtering of responsive messages from this big data ocean and then processing these informative datasets to gain… read more -
Beyond aberration detection, coping with multiple exceedances in a national syndromic surveillance service
Content Type: Webinar
Public Health England uses data from four national syndromic surveillance systems to support public health programmes and identify unusual activity. Each system monitors a wide range of respiratory, gastrointestinal and other syndromes at a local,… read more -
Prioritization: a difficult word, and technique, to master. A review of prioritization approaches to multi-dimensional problems in health settings
Content Type: Webinar
In a context of finite resources, multiple needs and growing demands of organizational accountability, there has been an increase in the number of multi-dimensional prioritization exercises (of diseases, interventions, etc) in the health arena. Not… read more