Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics.
Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics.
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DOI：
10.1111/j.1461-0248.2012.01836.x
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发表时间：
2012-10
期刊：
影响因子：
8.8
通讯作者：
Webb CT
中科院分区：
文献类型：
--
作者：
Restif O;Hayman DT;Pulliam JR;Plowright RK;George DB;Luis AD;Cunningham AA;Bowen RA;Fooks AR;O'Shea TJ;Wood JL;Webb CT
由于野生动物感染对生物保护、动物福利、人类健康和粮食安全构成重大威胁，传染病生态学最近在科学界以外提高了公众形象。随着我们开始全面了解新出现的传染病，迫切需要促进这一领域的多学科研究。尽管生态学研究一直具有很强的理论成分，但文化和技术障碍往往阻碍理论家和生态学家之间的直接合作。基于我们在这一领域的多学科研究和教学的集体经验，我们提出了实用的指导方针，以帮助数学建模，实地考察和实验室工作之间的有效整合。建模工具可用于实地研究方案的所有步骤，从工作假设的制定到实地研究设计和数据分析。我们说明了我们的模型指导的实地考察框架，我们一直在进行野生动物传染病的两个案例研究：鼠疫传播的草原犬鼠和狂犬病病毒在美国和非洲蝙蝠的动态。这表明，机械模型，如果适当地整合在研究方案中，可以提供一个框架，以整体的方法来复杂的生物系统。
Infectious disease ecology has recently raised its public profile beyond the scientific community due to the major threats that wildlife infections pose to biological conservation, animal welfare, human health and food security. As we start unravelling the full extent of emerging infectious diseases, there is an urgent need to facilitate multidisciplinary research in this area. Even though research in ecology has always had a strong theoretical component, cultural and technical hurdles often hamper direct collaboration between theoreticians and empiricists. Building upon our collective experience of multidisciplinary research and teaching in this area, we propose practical guidelines to help with effective integration among mathematical modelling, fieldwork and laboratory work. Modelling tools can be used at all steps of a field-based research programme, from the formulation of working hypotheses to field study design and data analysis. We illustrate our model-guided fieldwork framework with two case studies we have been conducting on wildlife infectious diseases: plague transmission in prairie dogs and lyssavirus dynamics in American and African bats. These demonstrate that mechanistic models, if properly integrated in research programmes, can provide a framework for holistic approaches to complex biological systems.
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DOI：
10.1126/science.1199884
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Charleston B;Bankowski BM;Gubbins S;Chase-Topping ME;Schley D;Howey R;Barnett PV;Gibson D;Juleff ND;Woolhouse ME
通讯作者：
Woolhouse ME
影响因子：
1
作者：
Alvarez, Sophie;Douthwaite, Boru;Tehelen, Katherine
通讯作者：
Tehelen, Katherine
影响因子：
4.8
作者：
Clark, JS;Bjornstad, ON
通讯作者：
Bjornstad, ON
影响因子：
6.4
作者：
Davis, April D.;Rudd, Robert J.;Bowen, Richard A.
通讯作者：
Bowen, Richard A.
影响因子：
56.9
作者：
Coulson, T;Catchpole, EA;Grenfell, BT
通讯作者：
Grenfell, BT