Syndromic Surveillance at the New York State Veterinary Diagnostic Laboratory

The New York State Veterinary Diagnostic Laboratory (NYSVDL) receives more than 100,000 diagnostic submissions a year that are not currently used in any formal syndromic surveillance system. In 2009, a pilot study of syndrome classification schemes was undertaken and in 2011 a new general submission form was adopted, which includes a check list of syndromes, as part of the clinical history.

July 12, 2018

Parametric Uncertainty in Intra-Herd Foot-and-Mouth Disease Epidemiological Models

Epidemiological models that simulate the spread of Foot-and-Mouth Disease within a herd are the foundation of decision support tools used by governments to help advise and inform strategy to combat outbreaks. Contact transmission data used to parameterize these models, contrary to assumption, contain a significant amount of variability and uncertainty. The implications of this finding suggest that the resultant model output might not accurately simulate the spread of an outbreak.

July 09, 2018

Utilization of Syndromic Surveillance with Multiple Data Sources to Enhance Public Health Response

In the event of a large-scale public health crisis, successfully detecting and assessing health threats and monitoring population health status over a sustained period of time is likely to require integration of information from multiple sources. In addition, this information must be shared at varying levels of detail both among different agencies or organizations within an affected locality and among response participants at local, state, and federal levels of government.

October 12, 2017

Processes for Data Gathering, Assessment and Disease Event Tracking

Protecting U.S. animal populations requires constant monitoring of disease events and conditions which might lead to disease emergence, both domestically and globally. Since 1999, the Center for Emerging issues (CEI has actively monitored global information sources to provide early detection impact assessments and increased awareness of emerging disease events and conditions. The importance of these activities was reinforced after September 11, 2001, and these processes are now part of the U.S. Department of Agriculture’s response to Homeland Security Presidential Directive 9.

July 30, 2018

North Dakota Electronic Animal Health Surveillance System

The North Dakota Veterinary Diagnostic Laboratory (NDVDL) manages animal disease laboratory tests, results and diagnostic services using the software VetStar Animal Disease Diagnostic System (VADDS) (Advanced Technology Corporation, Ramsey, NJ). The North Dakota State Board of Animal Health with the Department of Agriculture, in collaboration with the North Dakota Department of Health (NDDoH), has developed an electronic laboratory reporting system using data streams exported from the VADDS system for statewide animal health and public health surveillance.

July 30, 2018

One Medicine- One Health: Implementing the Vision in Real-World Public Health

In the past year, three major health care organizations – the American Veterinary Medical Association, the American Medical Association and the Society for Tropical Veterinary Medicine – have officially endorsed the concept of “One Health” recognizing the continuum of communicable infectious disease from humans to animals and animals to humans.

July 30, 2018

LAHVA: Linked Animal-Human Health Visual Analytics

This paper describes our integrated visual analytics framework for analyzing both human emergency room data and veterinary hospital data.

July 30, 2018

Bayesian Hierarchical Models for the Evaluation and Design of Surveillance Systems: an Application to Scrapie Surveillance in Great Britain

There is a need for regular evaluation of surveillance strategies. The emergence of new diagnostic tests and new sources of data, changes in the spatio-temporal distribution of diseases and other factors must be periodically assessed to guarantee that the objectives of the surveillance effort are met. Underlying this evaluation process is the need to increase the efficient use of resources.

 

OBJECTIVE

July 30, 2018

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