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      Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics

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          Abstract

          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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          Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others.

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            Identifying Reservoirs of Infection: A Conceptual and Practical Challenge

            (2002)
            Many infectious agents, especially those that cause emerging diseases, infect more than one host species. Managing reservoirs of multihost pathogens often plays a crucial role in effective disease control. However, reservoirs remain variously and loosely defined. We propose that reservoirs can only be understood with reference to defined target populations. Therefore, we define a reservoir as one or more epidemiologically connected populations or environments in which the pathogen can be permanently maintained and from which infection is transmitted to the defined target population. Existence of a reservoir is confirmed when infection within the target population cannot be sustained after all transmission between target and nontarget populations has been eliminated. When disease can be controlled solely by interventions within target populations, little knowledge of potentially complex reservoir infection dynamics is necessary for effective control. We discuss the practical value of different approaches that may be used to identify reservoirs in the field.
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              Parasites in food webs: the ultimate missing links

              Parasitism is the most common consumer strategy among organisms, yet only recently has there been a call for the inclusion of infectious disease agents in food webs. The value of this effort hinges on whether parasites affect food-web properties. Increasing evidence suggests that parasites have the potential to uniquely alter food-web topology in terms of chain length, connectance and robustness. In addition, parasites might affect food-web stability, interaction strength and energy flow. Food-web structure also affects infectious disease dynamics because parasites depend on the ecological networks in which they live. Empirically, incorporating parasites into food webs is straightforward. We may start with existing food webs and add parasites as nodes, or we may try to build food webs around systems for which we already have a good understanding of infectious processes. In the future, perhaps researchers will add parasites while they construct food webs. Less clear is how food-web theory can accommodate parasites. This is a deep and central problem in theoretical biology and applied mathematics. For instance, is representing parasites with complex life cycles as a single node equivalent to representing other species with ontogenetic niche shifts as a single node? Can parasitism fit into fundamental frameworks such as the niche model? Can we integrate infectious disease models into the emerging field of dynamic food-web modelling? Future progress will benefit from interdisciplinary collaborations between ecologists and infectious disease biologists.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Ecol Lett
                Ecol. Lett
                ele
                Ecology Letters
                Blackwell Publishing Ltd
                1461-023X
                1461-0248
                October 2012
                19 July 2012
                : 15
                : 10
                : 1083-1094
                Affiliations
                [1 ]Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK
                [2 ]Department of Biology, Colorado State University Fort Collins, CO, 80523, USA
                [3 ]Institute of Zoology, Zoological Society of London London, NW1 4RY, UK
                [4 ]Animal Health and Veterinary Laboratories Agency Weybridge, Surrey, KT15 3NB, UK
                [5 ]Fogarty International Center, National Institutes of Health Bethesda, MD, 20892, USA
                [6 ]Department of Biology, University of Florida Gainesville, FL, 32611, USA
                [7 ]Emerging Pathogens Institute, University of Florida Gainesville, FL, 32610, USA
                [8 ]Center for Infectious Disease Dynamics, The Pennsylvania State University University Park, PA, 16802, USA
                [9 ]Department of Defense Frederick, MD, 21702, USA
                [10 ]Department of Biomedical Sciences, Colorado State University Fort Collins, CO, 80523, USA
                [11 ]The National Centre for Zoonosis Research, University of Liverpool Leahurst, Neston, South Wirral, CH64 7TE, UK
                Author notes
                *Correspondence: E-mail: or226@ 123456cam.ac.uk

                This article is published with the permission of the Controller of HMSO and Animal Health and Veterinary Laboratories Agency.

                Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#Onlineopen_Terms

                Article
                10.1111/j.1461-0248.2012.01836.x
                3466409
                22809422
                cc8a52e9-2166-4355-bcca-5d6226cd6c4b
                Copyright © 2012 Blackwell Publishing Ltd/CNRS

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 21 December 2011
                : 02 February 2012
                : 07 May 2012
                : 20 June 2012
                Categories
                Ideas and Perspectives

                Ecology
                field ecology,infectious diseases,mathematical models,statistical models,study design,wildlife epidemiology

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