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The macroecology of infectious diseases: a new perspective on global‐scale drivers of pathogen distributions and impacts

Identifieur interne : 001101 ( Main/Exploration ); précédent : 001100; suivant : 001102

The macroecology of infectious diseases: a new perspective on global‐scale drivers of pathogen distributions and impacts

Auteurs : Patrick R. Stephens [États-Unis] ; Sonia Altizer [États-Unis] ; Katherine F. Smith [États-Unis] ; A. Alonso Aguirre [États-Unis] ; James H. Brown [États-Unis] ; Sarah A. Budischak [États-Unis] ; James E. Byers [États-Unis] ; Tad A. Dallas [États-Unis] ; T. Jonathan Davies [Canada] ; John M. Drake [États-Unis] ; Vanessa O. Ezenwa [États-Unis] ; Maxwell J. Farrell [Canada] ; John L. Gittleman [États-Unis] ; Barbara A. Han [États-Unis] ; Shan Huang [Allemagne] ; Rebecca A. Hutchinson [États-Unis] ; Pieter Johnson [États-Unis] ; Charles L. Nunn [États-Unis] ; David Onstad [États-Unis] ; Andrew Park [États-Unis] ; Gonzalo M. Vazquez-Prokopec [États-Unis] ; John P. Schmidt [États-Unis] ; Robert Poulin [Nouvelle-Zélande]

Source :

RBID : ISTEX:B4D0042A2A5C048E0F3DCD734DB56E65C3EA05D2

Abstract

Identifying drivers of infectious disease patterns and impacts at the broadest scales of organisation is one of the most crucial challenges for modern science, yet answers to many fundamental questions remain elusive. These include what factors commonly facilitate transmission of pathogens to novel host species, what drives variation in immune investment among host species, and more generally what drives global patterns of parasite diversity and distribution? Here we consider how the perspectives and tools of macroecology, a field that investigates patterns and processes at broad spatial, temporal and taxonomic scales, are expanding scientific understanding of global infectious disease ecology. In particular, emerging approaches are providing new insights about scaling properties across all living taxa, and new strategies for mapping pathogen biodiversity and infection risk. Ultimately, macroecology is establishing a framework to more accurately predict global patterns of infectious disease distribution and emergence.

Url:
DOI: 10.1111/ele.12644


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<name sortKey="Smith, Katherine F" sort="Smith, Katherine F" uniqKey="Smith K" first="Katherine F." last="Smith">Katherine F. Smith</name>
<name sortKey="Stephens, Patrick R" sort="Stephens, Patrick R" uniqKey="Stephens P" first="Patrick R." last="Stephens">Patrick R. Stephens</name>
<name sortKey="Vazquez Rokopec, Gonzalo M" sort="Vazquez Rokopec, Gonzalo M" uniqKey="Vazquez Rokopec G" first="Gonzalo M." last="Vazquez-Prokopec">Gonzalo M. Vazquez-Prokopec</name>
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<name sortKey="Jonathan Davies, T" sort="Jonathan Davies, T" uniqKey="Jonathan Davies T" first="T." last="Jonathan Davies">T. Jonathan Davies</name>
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<name sortKey="Farrell, Maxwell J" sort="Farrell, Maxwell J" uniqKey="Farrell M" first="Maxwell J." last="Farrell">Maxwell J. Farrell</name>
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<name sortKey="Huang, Shan" sort="Huang, Shan" uniqKey="Huang S" first="Shan" last="Huang">Shan Huang</name>
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<country name="Nouvelle-Zélande">
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