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Cited by 317

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Assembling evidence for identifying reservoirs of infection

Open access
Viana, Mafalda, Mancy, Rebecca, Biek, Roman, Cleaveland, Sarah, Cross, Paul C., Lloyd-Smith, James O., Haydon, Daniel T.·2014·Trends in Ecology & Evolution

Abstract

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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Crossref · 10.1016/j.tree.2014.03.002

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Metadata

Authors
Viana, M., Mancy, R., Biek, R., Cleaveland, S., Cross, P. C., Lloyd-Smith, J. O., & Haydon, D. T.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2014-05
Volume
29
Issue
5
Pages
270-279
ISSN
0169-5347 (ISSN-L)
OpenAlex
W2113447914
Cited by
317
References
89
FWCI
3.81
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Assembling evidence for identifying reservoirs of infection. https://app.cochat.ai/papers/10.1016/j.tree.2014.03.002
The paper
Viana, M., Mancy, R., Biek, R., Cleaveland, S., Cross, P. C., Lloyd-Smith, J. O., & Haydon, D. T. (2014). Assembling evidence for identifying reservoirs of infection. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2014.03.002

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.