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Cited by 286

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Global trends in infectious diseases at the wildlife–livestock interface

Open access
Wiethoelter, Anke K., Beltrán-Alcrudo, Daniel, Kock, Richard, Mor, Siobhan M.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Infectious diseases at the wildlife–livestock interface threaten the health and well-being of wildlife, livestock, and human populations, and contribute to significant economic losses to each sector. No studies have sought to characterize the diseases and animals involved on a global level. Using a scoping review framework we show that 10 diseases—mostly zoonoses—have accounted for half of the published research in this area over the past century. We show that relatively few interfaces can be considered important from a disease ecology perspective. These findings suggest that surveillance and research strategies that target specific wildlife–livestock interfaces may yield the greatest return in investment.

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Registry

Crossref · 10.1073/pnas.1422741112

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Metadata

Authors
Wiethoelter, A. K., Beltrán-Alcrudo, D., Kock, R., & Mor, S. M.
Venue
Proceedings of the National Academy of Sciences
Published
2015-07-20
Volume
112
Issue
31
Pages
9662-9667
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2145466384
Cited by
286
References
8
FWCI
12.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Global trends in infectious diseases at the wildlife–livestock interface. https://app.cochat.ai/papers/10.1073/pnas.1422741112
The paper
Wiethoelter, A. K., Beltrán-Alcrudo, D., Kock, R., & Mor, S. M. (2015). Global trends in infectious diseases at the wildlife–livestock interface. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1422741112

Data sources

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.