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DECIDE项目:从监测数据到为农民和兽医提供决策支持

The DECIDE project: from surveillance data to decision-support for farmers and veterinarians.

作者信息

van Schaik Gerdien, Hostens Miel, Faverjon Céline, Jensen Dan B, Kristensen Anders R, Ezanno Pauline, Frössling Jenny, Dórea Fernanda, Jensen Britt-Bang, Carmo Luis Pedro, Steeneveld Wilma, Rushton Jonathan, Gilbert William, Bearth Angela, Siegrist Michael, Kaler Jasmeet, Ripperger Johannes, Siehler Jamuna, de Wit Sjaak, Garcia-Morante Beatriz, Segalés Joaquim, Pardon Bart, Bokma Jade, Nielen Mirjam

机构信息

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.

Royal GD, Deventer, The Netherlands.

出版信息

Open Res Eur. 2023 May 17;3:82. doi: 10.12688/openreseurope.15988.1. eCollection 2023.

Abstract

Farmers, veterinarians and other animal health managers in the livestock sector are currently missing sufficient information on prevalence and burden of contagious endemic animal diseases. They need adequate tools for risk assessment and prioritization of control measures for these diseases. The DECIDE project develops data-driven decision-support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare. DECIDE focuses on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on reduced growth and mortality in two of the most important aquaculture species (salmon and trout). For each of these, we (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; (iv) build multivariate and multi-level models for creating early warning systems; and (v) rank interventions based on multiple criteria. Together, all of this forms decision-support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe. The results of DECIDE lead to improved use of surveillance data and evidence-based decisions on disease control. Improved disease control is essential for a sustainable food chain in Europe with increased animal health and welfare and that protects human health.

摘要

目前,畜牧部门的农民、兽医和其他动物健康管理人员缺乏关于传染性地方动物疾病的流行情况和负担的足够信息。他们需要适当的工具来进行风险评估,并对这些疾病的控制措施进行优先排序。DECIDE项目开发了数据驱动的决策支持工具,这些工具提供:(i)疾病出现的可靠早期信号和诊断确认选项;(ii)控制疾病的选项及其对疾病传播、经济负担和动物福利的影响。DECIDE项目关注三种最重要的陆生畜牧物种(猪、家禽、牛)的呼吸道和胃肠道综合征,以及两种最重要的水产养殖物种(鲑鱼和鳟鱼)的生长减缓及死亡率问题。对于上述每种情况,我们:(i)确定利益相关者的需求;(ii)确定疾病负担和控制措施的成本;(iii)基于联合数据访问和元信息共享开发数据共享框架;(iv)建立多变量和多层次模型以创建早期预警系统;(v)根据多个标准对干预措施进行排序。所有这些共同构成了决策支持工具,以便尽可能整合到现有的农场管理系统中,并在欧洲各地的农场进行多次试点实施评估。DECIDE项目的成果有助于更好地利用监测数据,并在疾病控制方面做出基于证据的决策。改善疾病控制对于欧洲可持续的食物链至关重要,这有助于提高动物健康和福利,并保护人类健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d41b/11109551/c10a8ef1d09f/openreseurope-3-17264-g0000.jpg

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