A Network Science Support System for Food Chain Safety: A Case from Hungarian Cattle Production

被引：0

作者：

Jozwiak, Akos ^{[1
]}

Milkovics, Matyas ^{[1
]}

Lakner, Zoltan ^{[2
]}

机构：

[1] Natl Food Chain Safety Off, Syst Management & Supervis Directorate, Keleti Karoly U 24, Budapest, Hungary

[2] Szent Istvan Univ, Fac Food Sci, Villanyi Ut 35-43, Budapest, Hungary

来源：

INTERNATIONAL FOOD AND AGRIBUSINESS MANAGEMENT REVIEW | 2016年 / 19卷 / 0A期

关键词：

big data; centrality measures; network analysis; veterinary inspection; risk-based planning; MOUTH-DISEASE; BETWEENNESS CENTRALITY; BIG DATA; TRADE; EPIDEMIC; PATTERNS; COLLABORATION; MOVEMENTS; DYNAMICS; SECTOR;

D O I：

暂无

中图分类号：

F3 [农业经济];

学科分类号：

0202 ; 020205 ; 1203 ;

摘要：

In a risk analysis framework, food chain safety measures should be objective and scientifically based. Network science - as a decision support tool - may have an important role in bringing safety to the food supply. The aim of the present work is to develop a network-based assessment methodology for Hungarian cattle holdings. The criteria of which is (1) suitable for risk-based planning in order to put resources into the most critical elements of the cattle production network; (2) should be capable of simulating different epidemiological situations in order to increase preparedness for real epidemics.

引用

页码：17 / 42

页数：26

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