scholarly journals Standardising Syndromic Classification in Animal Health Data

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Fernanda C. Dórea ◽  
Céline Dupuy ◽  
Flavie Vial ◽  
Crawford Revie ◽  
Ann Lindberg
Keyword(s):  
Syndromic Surveillance ◽  
Animal Health ◽  
Data Use ◽  
Health Data ◽  
Disease Classification ◽  
Summary Statistics ◽  
Data Recording ◽  
Animal Disease ◽  
Contingency Plans ◽  
Different Sources

Data sharing remains a barrier to joint surveillance and the establishment of contingency plans among countries and institutions. Summary statistics are hard to interpret and compare, and nomenclatures for animal disease classification are seldom used. SSynCAHD (Syndromic Classification in Animal Health Data) proposes to harmonise, through the development on an ontology, syndromic surveillance data use rather than data recording. This will be achieved by standardising classification into syndromes, based on records from different sources of animal health data which are (and will continue to be) recorded using an institution own vocabulary.

Syndromic surveillance by veterinary practitioners: a pilot study in the pig sector

2019 ◽  
Vol 184 (18) ◽  
pp. 556-556
Author(s):  
Carla Correia-Gomes ◽  
Madeleine Kate Henry ◽  
Susanna Williamson ◽  
Richard M Irvine ◽  
George J Gunn ◽  
...  
Keyword(s):  
Pilot Study ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Animal Health ◽  
Relevant Information ◽  
Health Data ◽  
Vital Role ◽  
Case Definitions ◽  
Pig Farms ◽  
Incident Reports

Traditional indicator-based livestock surveillance has been focused on case definitions, definitive diagnoses and laboratory confirmation. The use of syndromic disease surveillance would increase the population base from which animal health data are captured and facilitate earlier detection of new and re-emerging threats to animal health. Veterinary practitioners could potentially play a vital role in such activities. In a pilot study, specialist private veterinary practitioners (PVP) working in the English pig industry were asked to collect and transfer background data and disease incident reports for pig farms visited during the study period. Baseline data from 110 pig farms were received, along with 68 disease incident reports. Reports took an average of approximately 25 minutes to complete. Feedback from the PVPs indicated that they saw value in syndromic surveillance. Maintenance of anonymity in the outputs would be essential, as would timely access for the PVPs to relevant information on syndromic trends. Further guidance and standardisation would also be required. Syndromic surveillance by PVPs is possible for the pig industry. It has potential to fill current gaps in the collection of animal health data, as long as the engagement and participation of data providers can be obtained and maintained.

Preparing for a Foreign Animal Disease Outbreak Using a Novel Tabletop Exercise

2018 ◽  
Vol 33 (6) ◽  
pp. 640-646
Author(s):  
Eric J. Linskens ◽  
Abby E. Neu ◽  
Emily J. Walz ◽  
Kaitlyn M. St. Charles ◽  
Marie R. Culhane ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Emergency Preparedness ◽  
Food System ◽  
Animal Health ◽  
The United States ◽  
Disease Outbreak ◽  
Animal Disease ◽  
Publication Type ◽  
The Impact ◽  
Foreign Animal Disease

AbstractIntroductionForeign animal disease (FAD) outbreaks can have devastating impacts, but they occur infrequently in any specific sector anywhere in the United States (US). Training to proactively discuss implementation of control and prevention strategies are beneficial in that they provide stakeholders with the practical information and educational experience they will need to respond effectively to an FAD. Such proactive approaches are the mission of the Secure Food System (SFS; University of Minnesota; St. Paul, Minnesota USA).MethodsThe SFS exercises were designed as educational activities based on avian influenza (AI) outbreaks in commercial poultry scenarios. These scenarios were created by subject matter experts and were based on epidemiology reports, risk pathway analyses, local industry practices, and site-specific circumstances. Target audiences of an exercise were the groups involved in FAD control: animal agriculture industry members; animal health regulators; and diagnosticians. Groups of industry participants seated together at tables represented fictional poultry premises and were guided by a moderator to respond to an on-farm situation within a simulated outbreak. The impact of SFS exercises was evaluated through interviews with randomized industry participants and selected table moderators. Descriptive statistics and qualitative analyses were performed on interview feedback.ResultsEleven SFS exercises occurred from December 2016 through October 2017 in multiple regions of the US. Exercises were conducted as company-wide, state-wide, or regional trainings. Nine were based on highly pathogenic avian influenza (HPAI) outbreaks and two focused on outbreaks of co-circulating HPAI and low pathogenicity avian influenza (LPAI). Poultry industry participants interviewed generally found attending an SFS exercise to be useful. The most commonly identified benefits of participation were its value to people without prior outbreak experience and knowledge gained about Continuity of Business (COB)-permitted movement. After completing an exercise, most participants evaluated their preparedness to respond to an outbreak as somewhat to very ready, and more than one-half reported their respective company or farms had discussions or changed actions due to participation.Conclusion:Evaluation feedback suggests the SFS exercises were an effective training method to supplement preparedness efforts for an AI outbreak. The concept of using multi-faceted scenarios and multiple education strategies during a tabletop exercise may be translatable to other emergency preparedness needs.LinskensEJ, NeuAE, WalzEJ, St. CharlesKM, CulhaneMR, SsematimbaA, GoldsmithTJ, HalvorsonDA, CardonaCJ. Preparing for a foreign animal disease outbreak using a novel tabletop exercise. Prehosp Disaster Med. 2018;33(6):640–646.

Big Data Analytics in Healthcare

2021 ◽  
pp. 85-98
Author(s):  
Sam Goundar ◽  
Karpagam Masilamani ◽  
Akashdeep Bhardwaj ◽  
Chandramohan Dhasarathan
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Health Data ◽  
Massive Data ◽  
Healthcare Industry ◽  
Health Records ◽  
Healthcare Data ◽  
Data Formats ◽  
Analytical Tools ◽  
Different Sources

This chapter provides better understanding and use-cases of big data in healthcare. The healthcare industry generates lot of data every day, and without proper analytical tools, it is quite difficult to extract meaningful data. It is essential to understand big data tools since the traditional devices don't maintain this vast data, and big data solves the major issue in handling massive healthcare data. Health data from numerous health records are collected from various sources, and this massive data is put together to form the big data. Conventional database cannot be used in this purpose due to the diversity in data formats, so it is difficult to merge, and so it is quite impossible to process. With the use of big data this problem is solved, and it can process highly variable data from different sources.

scholarly journals The French Health Data Hub and the German Medical Informatics Initiatives: Two National Projects to Promote Data Sharing in Healthcare

2019 ◽  
Vol 28 (01) ◽  
pp. 195-202 ◽  
Author(s):  
Marc Cuggia ◽  
Stéphanie Combes
Keyword(s):  
Data Sharing ◽  
Medical Informatics ◽  
Data Privacy ◽  
Data Use ◽  
Health Data ◽  
The European Union ◽  
Global Approach ◽  
Data Governance ◽  
Academic Hospitals ◽  
Access Data

Objective: The diversity and volume of health data have been rapidly increasing in recent years. While such big data hold significant promise for accelerating discovery, data use entails many challenges including the need for adequate computational infrastructure and secure processes for data sharing and access. In Europe, two nationwide projects have been launched recently to support these objectives. This paper compares the French Health Data Hub initiative (HDH) to the German Medical Informatics Initiatives (MII). Method: We analysed the projects according to the following criteria: (i) Global approach and ambitions, (ii) Use cases, (iii) Governance and organization, (iv) Technical aspects and interoperability, and (v) Data privacy access/data governance. Results: The French and German projects share the same objectives but are different in terms of methodologies. The HDH project is based on a top-down approach and focuses on a shared computational infrastructure, providing tools and services to speed projects between data producers and data users. The MII project is based on a bottom-up approach and relies on four consortia including academic hospitals, universities, and private partners. Conclusion: Both projects could benefit from each other. A Franco-German cooperation, extended to other countries of the European Union with similar initiatives, should allow sharing and strengthening efforts in a strategic area where competition from other countries has increased.

Human and animal disease outbreaks in India due to mycotoxins other than aflatoxins

2009 ◽  
Vol 2 (1) ◽  
pp. 23-30 ◽  
Author(s):  
C. Raghavender ◽  
B. Reddy
Keyword(s):  
Health Risks ◽  
Rural Areas ◽  
South India ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Western India ◽  
Animal Disease ◽  
The People ◽  
Contaminated Food ◽  
Significant Health

Mycotoxins are gaining increasing importance due to their deleterious effects on human and animal health. Chronic health risks are particularly prevalent in India where the diets of the people are highly prone to mycotoxins due to poor harvesting practices, improper storage and transport coupled with high temperature and moisture. This paper reviews disease outbreaks of mycotoxicoses other than aflatoxins in India due to ingestion of mycotoxincontaminated food. Ergotism is one of the earliest known outbreaks of mycotoxins reported in rural areas of western India associated with pearl millet grain. Trichothecenes have been involved in an acute human mycotoxicosis known as alimentary toxic aleukia in India during 1987 and were attributed to the consumption of mouldy wheat. Deoxynivalenol was implicated in an outbreak of emetic syndrome in Kashmir State. An outbreak of acute foodborne disease caused by fumonisin was reported in south India during 1995 affecting 1,424 people due to contaminated sorghum and maize. Rhizopus toxicosis was reported from Maharashtra State and caused the death of three people. These outbreaks continue to be a significant health problem of people in India, because their poor purchasing power compels them to consume contaminated food.

scholarly journals Patient generated health data use in clinical practice: A systematic review

2019 ◽  
Vol 67 (4) ◽  
pp. 311-330 ◽  
Author(s):  
George Demiris ◽  
Sarah J. Iribarren ◽  
Katherine Sward ◽  
Solim Lee ◽  
Rumei Yang
Keyword(s):  
Systematic Review ◽  
Clinical Practice ◽  
Data Use ◽  
Health Data
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