scholarly journals Evaluation of Syndromic Surveillance Data Streams in Animal Health

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Morgan Hennessey ◽  
Julianna B. Lenoch ◽  
Cynthia Zepeda ◽  
Leah Estberg ◽  
Judy Akkina

ObjectiveTo implement a systematic and uniform approach to evaluatingdata sources for syndromic surveillance within the United StatesDepartment of Agriculture (USDA) Animal and Plant HealthInspection Services (APHIS) Veterinary Services (VS) group.IntroductionUSDA-APHIS-VS utilizes several continuous data streams toincrease our knowledge of animal health and provide situationalawareness of emerging animal health issues. In addition, USDA-APHIS-VS often conducts pilot projects to see if regular data accessand analysis are feasible, and if so, if the information generated isuseful. Syndromic surveillance was developed for three goals: asyndromic monitoring system to identify new diseases, as an emergingdisease early warning system, and to provide situational awarenessof animal health status. Current efforts focus on monitoring diversedata, such as laboratory accessions or poison center calls, groupedinto syndromic or other health indicator categories, and are notintended to identify specific pre-determined diseases or pathogens.It is essential to regularly evaluate and re-evaluate the effectiveness ofour surveillance program. However, there are difficulties when usingtraditional surveillance evaluation methods, since the objectives andoutcomes of monitoring novel data streams from pilot projects arenot easily measurable. An additional challenge in the evaluation ofthese data streams is the identification of a method that can adapt tovarious context and inputs to make objective decisions. Until recently,assessment efforts have looked at the feasibility of regular analysisand reporting, but not at the utility of the information generated, northe plausibility and sustainability of longer term or expanded efforts.MethodsMethods for surveillance evaluation, syndromic surveillanceevaluation, and specifically for animal health syndromic surveillanceevaluation were researched via a literature review, exploration ofmethods used in-house on traditional surveillance systems, andthrough development over time of criteria that were seen as key tothe development of functioning, sustainable systems focusing onanimal health syndromic surveillance. Several methods were adaptedto create an approach that could organize information in a logicalmanner, clarify objectives, and make qualitative value assessmentsin situations where the quantitative aspects of costs and benefits werenot always straight forward. More than 25 articles were reviewed todetermine the best method of evaluation.ResultsThe RISKSUR Evaluation Support Tool (EVA) provided themajority of the methodology for the evaluations of our data sources.The EVA tool allows for an integrated approach for evaluation, andflexible methods to measure effectiveness and benefits of various datastreams. The most useful and common factors found to evaluate pilotdata sources of interest were how well the information generated bythe data streams could provide early detection of animal health events,and how well and how often situational awareness information onanimal health was generated. The EVA tool also helps identify andorganize criteria that are used to assess the objectives, and assignvalue.ConclusionsThe regular evaluation of syndromic surveillance data streamsin animal health is necessary to make best use of resources andmaximize benefits of data stream use. It is also useful to conductregular interim assessments on data streams in pilot phase to becertain key information for a final evaluation will be generated duringthe project. The RISKSUR EVA tool was found to be very flexibleand useful for allowing estimates of value to be made, even whenevaluating systems that do not have very specific, quantitativelymeasurable objectives. This tool provides flexibility in the selectionof attributes for evaluation, making it particularly useful whenexamining pilot project data streams. In combination with additionalreview methodologies from the literature review, a systematic anduniform approach to data stream evaluation was identified for futureuse.

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 808
Author(s):  
Gabriel M. Dallago ◽  
Kevin M. Wade ◽  
Roger I. Cue ◽  
J T. McClure ◽  
René Lacroix ◽  
...  

The ability of dairy farmers to keep their cows for longer could positively enhance the economic performance of the farms, reduce the environmental footprint of the milk industry, and overall help in justifying a sustainable use of animals for food production. However, there is little published on the current status of cow longevity and we hypothesized that a reason may be a lack of standardization and an over narrow focus of the longevity measure itself. The objectives of this critical literature review were: (1) to review metrics used to measure dairy cow longevity; (2) to describe the status of longevity in high milk-producing countries. Current metrics are limited to either the length of time the animal remains in the herd or if it is alive at a given time. To overcome such a limitation, dairy cow longevity should be defined as an animal having an early age at first calving and a long productive life spent in profitable milk production. Combining age at first calving, length of productive life, and margin over all costs would provide a more comprehensive evaluation of longevity by covering both early life conditions and the length of time the animal remains in the herd once it starts to contribute to the farm revenues, as well as the overall animal health and quality of life. This review confirms that dairy cow longevity has decreased in most high milk-producing countries over time and its relationship with milk yield is not straight forward. Increasing cow longevity by reducing involuntary culling would cut health costs, increase cow lifetime profitability, improve animal welfare, and could contribute towards a more sustainable dairy industry while optimizing dairy farmers’ efficiency in the overall use of resources available.


Proceedings ◽  
2020 ◽  
Vol 73 (1) ◽  
pp. 7
Author(s):  
Gabriel M. Dallago ◽  
Kevin M. Wade ◽  
Roger I. Cue ◽  
J. T. McClure ◽  
René Lacroix ◽  
...  

The ability of dairy farmers to keep their cows for longer could positively enhance the economic performance of farms, reduce the environmental footprint of the milk industry, and provide overall help in justifying a sustainable use of animals for food production. However, there is little yet published on the current status of cow longevity and we hypothesized that a reason may be a lack of standardization and an over narrow focus of the longevity measure itself. The objectives of this critical literature review were: (1) to review the metrics used to measure dairy cow longevity in order to determine those most commonly employed; (2) to describe the status of longevity in high milk-producing countries. Current metrics are limited to either the length of time the animal remains in the herd or if it is alive at a given time. To overcome such a limitation, dairy cow longevity should be first defined as an animal having an early age at first calving and a long productive life spent in profitable milk production. Combining age at first calving, length of productive life, and margin overall costs would provide a more comprehensive evaluation of longevity by covering both early life conditions and the length of time the animal remains in the herd once it starts to contribute to the farm revenues, as well as overall animal health and quality of life. In addition, this review confirms that dairy cow longevity has decreased in most high milk-producing countries over time and its relationship with milk yield is not straight forward. Increasing cow longevity by reducing involuntary culling would cut health costs, increase cow lifetime profitability, improve animal welfare, and could contribute towards a more sustainable dairy industry while optimizing dairy farmers’ efficiency in the overall use of resources available.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Sebastian Romano ◽  
Cassandra Davis ◽  
Krystal Collier ◽  
Sara Johnston ◽  
Hana Tesfamichael ◽  
...  

ObjectiveThe objective of this session is to discuss syndromic surveillance evaluation activities. Panel participants will describe contexts and importance of selected evaluation and performance measurement activities in NSSP. Discussions will explore ways to strengthen evaluation in syndromic surveillance activities in the future.IntroductionSyndromic surveillance uses near-real-time Emergency Department healthcare and other data to improve situational awareness and inform activities implemented in response to public health concerns. The National Syndromic Surveillance Program (NSSP) is a collaboration among state and local health departments, the Centers for Disease Control and Prevention (CDC), other federal organizations, and other entities, to strengthen the means for and the practice of syndromic surveillance. NSSP thus strives to strengthen syndromic surveillance at the national and the state, and local levels through the coordinated activities of the involved partners and the development and use of advanced technologies, such as the BioSense platform. Evaluation and performance measurement are crucial to ensure that the various strategies and activities implemented to strengthen syndromic surveillance capacity and practice are effective. Evaluation activities will be discussed at this session and feedback from audience will be sought with the goal to further strengthen evaluation activities in the future.DescriptionSyndromic surveillance practice among NSSP grant recipients: findings from a telephone based survey – S. Romano This presentation will highlight the development and implementation of a survey among the NSSP grant recipients about their syndromic surveillance practice. The objectives of the survey was to develop knowledge and understanding about: a) characteristics of syndromic surveillance practice at the state and local level among jurisdictions that are NSSP grant recipients; b) challenges encountered by these jurisdictions in conducting syndromic surveillance; and c) strategies that may help address these challenges. The objectives and methods of the survey will be described in detail. The survey is expected to be implemented before the end of this year. Preliminary findings will be presented if available. Lessons learned and strategies to consider for strengthening syndromic surveillance practice will be discussed.Defining a sustainable approach to syndromic surveillance through the AZ BioSense Workgroup Charter – K. Collier, S. Johnston The Arizona BioSense Workgroup has developed a five year charter outlining the method and measures used for implementation and adoption of syndromic surveillance in Arizona. Membership consists of clinicians, IT and public health. The mission and vision help to establish a foundation for building capacity and quality of the syndromic surveillance data, improved population health and emergency response through timely and effective use of the data. Cross-cutting topics resulted in a process for assessing training needs, establishing protocols and evaluation of use cases, shared plans for situational awareness and making public health decisions. This talk will discuss the collaborative approach and how lessons learned will inform future activities.User Acceptance Testing to inform development and enhancement of the BioSense Platform – C. Davis Between June, 2016 and January, 2017, NSSP operationalized an updated BioSense Platform for conducting syndromic surveillance. The platform included ESSENCE, a software that enables analysis and visualization of syndromic surveillance data and the Access Management Center, a tool that enables jurisdictions to manage access to data. The development of and transition to the updated platform was informed by a User Acceptance Testing (UAT) that examined the functionality and usability of the platform and associated tools After webinar based orientation UAT, participants were requested to carry out specific tasks using the updated platform and tools in development. This presentation will discuss the objectives and methods of implementation of the UAT, findings from the UAT, and how these guided transition activities and the refinement of the platform applications.A quantitative and qualitative assessment of user support provided by the NSSP Service Desk – H. Tesfamichael, S. Romano A principal component of NSSP is the BioSense platform that includes health care visits related information, particularly related to emergency department visits, from across the U.S. BioSense and its associated tools, including ESSENCE, the Access Management Center, and Adminer, enable state and local health departments, and other, as appropriate, to use syndromic surveillance data to implement surveillance and assessment activities. The NSSP Service Desk provides technical support to BioSense users to assist with the use of the BioSense platform and its tools Users submit support request tickets through an online application. An analysis of information related to these tickets, including the context of the requests and their resolution status, was conducted to better understand the support needs of users and how well these were being addressed. This presentation will discuss the assessment, findings, and conclusions.How the Moderator Intends to Engage the Audience in Discussions on the TopicThe moderator will introduce the session and the panelists. The moderator will also invite questions and comments from the audience, and will facilitate the discussions. 


2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Iain Lake ◽  
Felipe J. Colón-González ◽  
Roger Morbey ◽  
Alex J. Elliot ◽  
Gillian E. Smith ◽  
...  

Syndromic surveillance systems are commonly presented in the literature but few are rigorously evaluated. We present and test an evaluation framework to examine which events can and cannot be detected, the time to detection and the efficacy of different syndromic surveillance data streams. This was achieved using four national syndromic surveillance systems in England and simulating a number of possible disease events (e.g. outbreak of pandemic influenza, (Cryptosporidium) outbreak and deliberate anthrax release). This methodology can be widely adopted to provide more empirical analysis of the effectiveness of syndromic surveillance systems worldwide.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Amanda D. Morse ◽  
Kevin Wickersham ◽  
Natasha Close ◽  
Elyse Kadocura ◽  
Tom E. Hulse

ObjectiveTo grow and facilitate a community of syndromic surveillance data users in Washington State, improving and expanding local syndromic practice.IntroductionPrior to June 2016, there were 45 registered users of syndromic surveillance data in Washington State, with 29 (64.4%) representing 5 of Washington’s 35 local health jurisdictions and 16 (35.6%) at the state level. Of those registered users, 9 (8.8%) had logged into ESSENCE at least once in the 6 months before October 2016.In June 2016, the Washington State syndromic surveillance program began accepting Meaningful Use data and sought to increase its user base. To accomplish this, the Washington State Department of Health (WA DOH) designated a staff member to oversee outreach efforts to increase the visibility of syndromic data in the state, including the establishment of a Community of Practice.MethodsThe Washington State syndromic surveillance program—the Rapid Health Information NetwOrk (RHINO)—began the process of stakeholder engagement by delivering a needs assessment to 15 current and potential users of the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) platform. The survey assessed interest in participation in a Community of Practice for Washington State syndromic data users, the timing and format for meetings, needs for technical assistance, and topic areas of interest. RHINO then used the survey results to create a bank of topics for Community of Practice calls and develop a strategy for long-term outreach and engagement.In April of 2017, the RHINO team developed a new strategic plan and outlined metrics for evaluating growth and challenges in the program’s outreach efforts, including plans for outreach to novel disciplines like emergency preparedness. These metrics included counts of invitations for speaking engagements, ESSENCE users, onsite ESSENCE trainings and attendees at those trainings, organizations and disciplines represented in the Community of Practice, Community members, and webinars facilitated for the Community. RHINO staff compiled monthly tabulations of these metrics to track progress over the course of the year and aid in adjustments to outreach efforts as necessary.ResultsRHINO received 10 responses to the survey, with 9 respondents from local health jurisdictions and 1 from WA DOH. Respondents indicated particularly strong interest in regular webinars, a database of resources, and live trainings to support syndromic practice in their work. They also expressed concerns about the distance which would be required for in-person meetings.RHINO established that meetings would occur via webinar every other month and held 6 webinars between October 2016 and October 2017 on a broad range of topics including developing syndrome definitions, basic ESSENCE functions, using ESSENCE’s Report Manager tool, monitoring influenza-like-illness in ESSENCE, and using syndromic data for situational surveillance. In addition to the Community of Practice webinars, RHINO staff developed technical guides for both the Washington and National Surveillance Program’s (NSSP) ESSENCE platforms, a handbook for using syndromic surveillance data in Washington State, and a curriculum for onsite ESSENCE training.Between October 2016 and October 2017, RHINO offered 8 onsite ESSENCE trainings for groups of users at the Washington State Department of Health and local health jurisdictions, serving a total of 36 attendees. Over the course of the year, ESSENCE users in Washington State increased to 75, with 40 (53.3%) of them logging into the system at least once over the previous 6 months and 20 (26.7%) listed as “new users” who have not yet activated their accounts. The Community of Practice itself has 86 members representing 16 agencies and 19 disciplines.As RHINO’s profile increased and more potential users became aware of the availability of syndromic data, RHINO began receiving invitations to present for external partners. Between March 2016 and October 2017, RHINO received 8 invitations to present to audiences of potential syndromic data users. These audiences included leadership at the Washington State Department of Health and emergency preparedness and response organizations.In the next year, the program will continue offering data trainings and partner meetings to better serve the needs of both current and potential data users in Washington State. As more jurisdictions begin to have production-quality data, RHINO will continue offering onsite training. RHINO has also built a relationship with the Northwest Tribal Epidemiology Center in Portland, Oregon to begin the process of exploring data sharing with the Tribal Nations and Organizations located within Washington.ConclusionsThrough the development and implementation of a detailed outreach plan, RHINO increased the user base and profile of syndromic surveillance data in Washington State. This work was made possible through the careful construction of strong relationships with new and potential partners and the decision to diversify RHINO’s staff to include members with backgrounds beyond epidemiology.


2011 ◽  
Vol 4 (0) ◽  
Author(s):  
Zachary Faigen ◽  
Anikah Salim ◽  
Kishok Rojohn ◽  
Ajit Isaac ◽  
Sherry Adams

2021 ◽  
Vol 189 ◽  
pp. 105279
Author(s):  
Zoë Campbell ◽  
Paul Coleman ◽  
Andrea Guest ◽  
Peetambar Kushwaha ◽  
Thembinkosi Ramuthivheli ◽  
...  

2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.


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