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

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...

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Autores principales: Restif, Olivier, Hayman, David T S, Pulliam, Juliet R C, Plowright, Raina K, George, Dylan B, Luis, Angela D, Cunningham, Andrew A, Bowen, Richard A, Fooks, Anthony R, O'Shea, Thomas J, Wood, James L N, Webb, Colleen T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466409/
https://www.ncbi.nlm.nih.gov/pubmed/22809422
http://dx.doi.org/10.1111/j.1461-0248.2012.01836.x
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author Restif, Olivier
Hayman, David T S
Pulliam, Juliet R C
Plowright, Raina K
George, Dylan B
Luis, Angela D
Cunningham, Andrew A
Bowen, Richard A
Fooks, Anthony R
O'Shea, Thomas J
Wood, James L N
Webb, Colleen T
author_facet Restif, Olivier
Hayman, David T S
Pulliam, Juliet R C
Plowright, Raina K
George, Dylan B
Luis, Angela D
Cunningham, Andrew A
Bowen, Richard A
Fooks, Anthony R
O'Shea, Thomas J
Wood, James L N
Webb, Colleen T
author_sort Restif, Olivier
collection PubMed
description 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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spelling pubmed-34664092012-10-11 Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics Restif, Olivier Hayman, David T S Pulliam, Juliet R C Plowright, Raina K George, Dylan B Luis, Angela D Cunningham, Andrew A Bowen, Richard A Fooks, Anthony R O'Shea, Thomas J Wood, James L N Webb, Colleen T Ecol Lett Ideas and Perspectives 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. Blackwell Publishing Ltd 2012-10 2012-07-19 /pmc/articles/PMC3466409/ /pubmed/22809422 http://dx.doi.org/10.1111/j.1461-0248.2012.01836.x Text en Copyright © 2012 Blackwell Publishing Ltd/CNRS http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Ideas and Perspectives
Restif, Olivier
Hayman, David T S
Pulliam, Juliet R C
Plowright, Raina K
George, Dylan B
Luis, Angela D
Cunningham, Andrew A
Bowen, Richard A
Fooks, Anthony R
O'Shea, Thomas J
Wood, James L N
Webb, Colleen T
Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title_full Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title_fullStr Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title_full_unstemmed Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title_short Model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
title_sort model-guided fieldwork: practical guidelines for multidisciplinary research on wildlife ecological and epidemiological dynamics
topic Ideas and Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466409/
https://www.ncbi.nlm.nih.gov/pubmed/22809422
http://dx.doi.org/10.1111/j.1461-0248.2012.01836.x
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