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动物疾病监测与资源分配的系统方法:行为分析的方法框架

Systems approaches to animal disease surveillance and resource allocation: methodological frameworks for behavioral analysis.

作者信息

Rich Karl M, Denwood Matthew J, Stott Alistair W, Mellor Dominic J, Reid Stuart W J, Gunn George J

机构信息

Department of International Economics, Norwegian Institute of International Affairs (NUPI), Oslo, Norway.

School of Veterinary Medicine, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, Scotland.

出版信息

PLoS One. 2013 Nov 29;8(11):e82019. doi: 10.1371/journal.pone.0082019. eCollection 2013.

DOI:10.1371/journal.pone.0082019
PMID:24348922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3857842/
Abstract

While demands for animal disease surveillance systems are growing, there has been little applied research that has examined the interactions between resource allocation, cost-effectiveness, and behavioral considerations of actors throughout the livestock supply chain in a surveillance system context. These interactions are important as feedbacks between surveillance decisions and disease evolution may be modulated by their contextual drivers, influencing the cost-effectiveness of a given surveillance system. This paper identifies a number of key behavioral aspects involved in animal health surveillance systems and reviews some novel methodologies for their analysis. A generic framework for analysis is discussed, with exemplar results provided to demonstrate the utility of such an approach in guiding better disease control and surveillance decisions.

摘要

尽管对动物疾病监测系统的需求不断增长,但在监测系统背景下,很少有应用研究考察整个畜牧供应链中行为主体的资源分配、成本效益和行为考量之间的相互作用。这些相互作用很重要,因为监测决策与疾病演变之间的反馈可能会受到其背景驱动因素的调节,从而影响特定监测系统的成本效益。本文确定了动物健康监测系统中涉及的一些关键行为方面,并综述了一些用于分析的新方法。文中讨论了一个通用的分析框架,并提供了示例结果,以证明这种方法在指导更好的疾病控制和监测决策方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/7631f0cc3dd0/pone.0082019.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/5fce832629bd/pone.0082019.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/f4dab5790911/pone.0082019.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/655de85d1302/pone.0082019.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/7631f0cc3dd0/pone.0082019.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/5fce832629bd/pone.0082019.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/f4dab5790911/pone.0082019.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/f104712367d8/pone.0082019.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/655de85d1302/pone.0082019.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b9/3857842/7631f0cc3dd0/pone.0082019.g005.jpg

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