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Author Notes:

Corresponding author. pieter.johnson@colorado edu.

For discussions and feedback helpful in shaping the manuscript, we thank S. Altizer, D. Calhoun, G. Devevey, I. Doron, S. Haas, K. Hoang, B. Hoye, M. Joseph, J. Koprivnikar, T. McDevitt-Galles, J. Mihaljevic, A. Pedersen, O. Petchey, A. Pierce, D. Preston, Y. Springer, W. Stutz, L. Tao, S. White, and members of the Macroecology of Infectious Disease Research Coordination Network (funded by NSF/NIH/USDA DEB 131223).

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Research Funding:

Supported by NSF grant DEB-1149308 and NIH grant R01GM109499 (P.T.J.J.), NSF grant DEB-1257160 and NIH grant R01GM109501 (J.C.d.R.), and UK Natural Environment Research Council grants NE/G006830/1 and NE/I024038/1 (A.F.).

Why infectious disease research needs community ecology

Tools:

Journal Title:

Science

Volume:

Volume 349, Number 6252

Publisher:

, Pages 1259504-1259504

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Infectious diseases often emerge from interactions among multiple species and across nested levels of biological organization. Threats as diverse as Ebola virus, human malaria, and bat white-nose syndrome illustrate the need for a mechanistic understanding of the ecological interactions underlying emerging infections. We describe how recent advances in community ecology can be adopted to address contemporary challenges in disease research. These analytical tools can identify the factors governing complex assemblages of multiple hosts, parasites, and vectors, and reveal how processes link across scales from individual hosts to regions. They can also determine the drivers of heterogeneities among individuals, species, and regions to aid targeting of control strategies. We provide examples where these principles have enhanced disease management and illustrate how they can be further extended.

Copyright information:

© 2015, American Association for the Advancement of Science.

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