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Cited by 623

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Wildlife Trade and Global Disease Emergence

Open access
Karesh, William B., Cook, Robert A., Bennett, Elizabeth L., Newcomb, James·2005·Emerging Infectious Diseases

Abstract

The global trade in wildlife provides disease transmission mechanisms that not only cause human disease outbreaks but also threaten livestock, international trade, rural livelihoods, native wildlife populations, and the health of ecosystems. Outbreaks resulting from wildlife trade have caused hundreds of billions of dollars of economic damage globally. Rather than attempting to eradicate pathogens or the wild species that may harbor them, a practical approach would include decreasing the contact rate among species, including humans, at the interface created by the wildlife trade. Since wildlife marketing functions as a system of scale-free networks with major hubs, these points provide control opportunities to maximize the effects of regulatory efforts.

Overview

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Integrity signals

Registry

Crossref · 10.3201/eid1107.050194

Cites

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Citations

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Metadata

Authors
Karesh, W. B., Cook, R. A., Bennett, E. L., & Newcomb, J.
Venue
Emerging Infectious Diseases
Published
2005-07
Volume
11
Issue
7
Pages
1000-1002
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2066983820
Cited by
623
References
17
FWCI
17.14
Type
journal article
Language
en
Open access
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This page
CoChat. (2026). Citation check: Wildlife Trade and Global Disease Emergence. https://app.cochat.ai/papers/10.3201/eid1107.050194
The paper
Karesh, W. B., Cook, R. A., Bennett, E. L., & Newcomb, J. (2005). Wildlife Trade and Global Disease Emergence. Emerging Infectious Diseases. https://doi.org/10.3201/eid1107.050194

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.