scholarly journals Animal health syndromic surveillance: a systematic literature review of the progress in the last 5 years (2011–2016)

2016 ◽  
Vol Volume 7 ◽  
pp. 157-170 ◽  
Author(s):  
Fernanda C Dórea ◽  
Flavie Vial
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Syndromic Surveillance ◽  
Animal Health

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
Keyword(s):  
Literature Review ◽  
Data Streams ◽  
Syndromic Surveillance ◽  
Data Stream ◽  
Animal Health ◽  
Surveillance Data ◽  
Surveillance Program ◽  
Poison Center ◽  
Pilot Projects ◽  
Use Of Resources

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.

Measuring Creativity in College Students: A Systematic Literature Review (2003-2012)

2014 ◽  
Author(s):  
Heather T. Snyder ◽  
Maggie R. Boyle ◽  
Lacey Gosnell ◽  
Julia A. Hammond ◽  
Haley Huey
Keyword(s):  
College Students ◽  
Literature Review ◽  
Systematic Literature Review

Recommendations for male-friendly individual counseling with men: A qualitative systematic literature review for the period 1995–2016.

2018 ◽  
Vol 19 (4) ◽  
pp. 600-611 ◽  
Author(s):  
Nathan Beel ◽  
Carla Jeffries ◽  
Charlotte Brownlow ◽  
Sonya Winterbotham ◽  
Jan du Preez
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Individual Counseling

Mental health care for rural veterans: A systematic literature review, descriptive analysis, and future directions.

2017 ◽  
Vol 41 (3) ◽  
pp. 222-233 ◽  
Author(s):  
David J. Bumgarner ◽  
Elizabeth J. Polinsky ◽  
Katharine G. Herman ◽  
Joanne M. Fordiani ◽  
Carmen P. Lewis ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Literature Review ◽  
Mental Health Care ◽  
Systematic Literature Review ◽  
Descriptive Analysis ◽  
Future Directions

Veterans Affairs and the Department of Defense mental health apps: A systematic literature review.

2019 ◽  
Vol 16 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Christine E. Gould ◽  
Brian C. Kok ◽  
Vanessa K. Ma ◽  
Aimee Marie L. Zapata ◽  
Jason E. Owen ◽  
...  
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Department Of Defense ◽  
Veterans Affairs ◽  
Health Apps

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

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