Informatics progress of the Global Burden of Animal Diseases programme towards data for One Health.

IF 1.9 4区 农林科学 Q2 VETERINARY SCIENCES
T M Bernardo, J Rushton, B Huntington, D A Stacey, K Raymond, N Bensassi, G T Patterson
{"title":"Informatics progress of the Global Burden of Animal Diseases programme towards data for One Health.","authors":"T M Bernardo,&nbsp;J Rushton,&nbsp;B Huntington,&nbsp;D A Stacey,&nbsp;K Raymond,&nbsp;N Bensassi,&nbsp;G T Patterson","doi":"10.20506/rst.42.3365","DOIUrl":null,"url":null,"abstract":"<p><p>The Global Burden of Animal Diseases (GBADs) programme will provide data-driven evidence that policy-makers can use to evaluate options, inform decisions, and measure the success of animal health and welfare interventions. The GBADs' Informatics team is developing a transparent process for identifying, analysing, visualising and sharing data to calculate livestock disease burdens and drive models and dashboards. These data can be combined with data on other global burdens (human health, crop loss, foodborne diseases) to provide a comprehensive range of information on One Health, required to address such issues as antimicrobial resistance and climate change. The programme began by gathering open data from international organisations (which are undergoing their own digital transformations). Efforts to achieve an accurate estimate of livestock numbers revealed problems in finding, accessing and reconciling data from different sources over time. Ontologies and graph databases are being developed to bridge data silos and improve the findability and interoperability of data. Dashboards, data stories, a documentation website and a Data Governance Handbook explain GBADs data, now available through an application programming interface. Sharing data quality assessments builds trust in such data, encouraging their application to livestock and One Health issues. Animal welfare data present a particular challenge, as much of this information is held privately and discussions continue regarding which data are the most relevant. Accurate livestock numbers are an essential input for calculating biomass, which subsequently feeds into calculations of antimicrobial use and climate change. The GBADs data are also essential to at least eight of the United Nations Sustainable Development Goals.</p>","PeriodicalId":49596,"journal":{"name":"Revue Scientifique et Technique-Office International Des Epizooties","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revue Scientifique et Technique-Office International Des Epizooties","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.20506/rst.42.3365","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The Global Burden of Animal Diseases (GBADs) programme will provide data-driven evidence that policy-makers can use to evaluate options, inform decisions, and measure the success of animal health and welfare interventions. The GBADs' Informatics team is developing a transparent process for identifying, analysing, visualising and sharing data to calculate livestock disease burdens and drive models and dashboards. These data can be combined with data on other global burdens (human health, crop loss, foodborne diseases) to provide a comprehensive range of information on One Health, required to address such issues as antimicrobial resistance and climate change. The programme began by gathering open data from international organisations (which are undergoing their own digital transformations). Efforts to achieve an accurate estimate of livestock numbers revealed problems in finding, accessing and reconciling data from different sources over time. Ontologies and graph databases are being developed to bridge data silos and improve the findability and interoperability of data. Dashboards, data stories, a documentation website and a Data Governance Handbook explain GBADs data, now available through an application programming interface. Sharing data quality assessments builds trust in such data, encouraging their application to livestock and One Health issues. Animal welfare data present a particular challenge, as much of this information is held privately and discussions continue regarding which data are the most relevant. Accurate livestock numbers are an essential input for calculating biomass, which subsequently feeds into calculations of antimicrobial use and climate change. The GBADs data are also essential to at least eight of the United Nations Sustainable Development Goals.

全球动物疾病负担规划的信息学进展,以获取“同一健康”数据。
全球动物疾病负担(GBADs)规划将提供数据驱动的证据,供决策者用来评估备选方案、为决策提供信息,并衡量动物卫生和福利干预措施的成功程度。GBADs的信息学小组正在开发一个透明的过程,用于识别、分析、可视化和共享数据,以计算牲畜疾病负担和驱动模型和仪表板。这些数据可与关于其他全球负担(人类健康、作物损失、食源性疾病)的数据相结合,提供关于“同一健康”的全面信息,以解决抗微生物药物耐药性和气候变化等问题。该项目首先从国际组织(它们自己也在进行数字化转型)收集公开数据。为准确估计牲畜数量所做的努力暴露了在寻找、获取和协调来自不同来源的数据方面存在的问题。人们正在开发本体和图形数据库,以弥合数据孤岛,提高数据的可查找性和互操作性。仪表板、数据故事、文档网站和数据治理手册解释了GBADs数据,现在可以通过应用程序编程接口获得。共享数据质量评估可建立对此类数据的信任,鼓励将其应用于牲畜和“一个健康”问题。动物福利数据提出了一个特别的挑战,因为这些信息大多是私人持有的,关于哪些数据最相关的讨论仍在继续。准确的牲畜数量是计算生物量的重要输入,随后用于计算抗菌素使用和气候变化。GBADs数据对至少八个联合国可持续发展目标也至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.40
自引率
0.00%
发文量
22
审稿时长
>24 weeks
期刊介绍: The Scientific and Technical Review is a periodical publication containing scientific information that is updated constantly. The Review plays a significant role in fulfilling some of the priority functions of the OIE. This peer-reviewed journal contains in-depth studies devoted to current scientific and technical developments in animal health and veterinary public health worldwide, food safety and animal welfare. The Review benefits from the advice of an Advisory Editorial Board and a Scientific and Technical Committee composed of top scientists from across the globe.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信