期刊
TRENDS IN ECOLOGY & EVOLUTION
卷 29, 期 5, 页码 270-279出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tree.2014.03.002
关键词
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资金
- RAPIDD programme of the Science and Technology Directorate of the US Department of Homeland Security
- National Institutes of Health Fogarty International Center
- Newton International Fellowship from The Royal Society
- EPSRC [EP/P505534/1]
- NIH [RO1 AI047498]
- National Science Foundation [OCE-1335657]
- De Logi Chair in Biological Sciences
- UK Medical Research Council [G0901135]
- BBSRC [BB/H009302/1, BB/J010367/1]
- Direct For Biological Sciences
- Division Of Environmental Biology [1067129] Funding Source: National Science Foundation
- Directorate For Geosciences [1335657] Funding Source: National Science Foundation
- Division Of Ocean Sciences [1335657] Funding Source: National Science Foundation
- Biotechnology and Biological Sciences Research Council [BB/H009302/1, BB/J010367/1, BB/H009035/1] Funding Source: researchfish
- Medical Research Council [G0901135] Funding Source: researchfish
- BBSRC [BB/H009302/1, BB/H009035/1, BB/J010367/1] Funding Source: UKRI
- MRC [G0901135] Funding Source: UKRI
Many pathogens persist in multihost systems, making the identification of infection reservoirs crucial for devising effective interventions. Here, we present a conceptual framework for classifying patterns of incidence and prevalence, and review recent scientific advances that allow us to study and manage reservoirs simultaneously. We argue that interventions can have a crucial role in enriching our mechanistic understanding of how reservoirs function and should be embedded as quasi-experimental studies in adaptive management frameworks. Single approaches to the study of reservoirs are unlikely to generate conclusive insights whereas the formal integration of data and methodologies, involving interventions, pathogen genetics, and contemporary surveillance techniques, promises to open up new opportunities to advance understanding of complex multihost systems.
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