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Cited by 400

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

West Nile Virus Risk Assessment and the Bridge Vector Paradigm

Open access
Kilpatrick, A. Marm, Kramer, Laura D., Campbell, Scott R., Alleyne, E. Oscar, Dobson, Andrew P., Daszak, Peter·2005·Emerging Infectious Diseases

Abstract

In the northeast United States, control of West Nile virus (WNV) vectors has been unfocused because of a lack of accurate knowledge about the roles different mosquitoes play in WNV transmission. We analyzed the risk posed by 10 species of mosquitoes for transmitting WNV to humans by using a novel risk-assessment measure that combines information on the abundance, infection prevalence, vector competence, and biting behavior of vectors. This analysis suggests that 2 species (Culex pipiens L. and Cx. restuans Theobald [Diptera: Cilicidae]) not previously considered important in transmitting WNV to humans may be responsible for up to 80% of human WNV infections in this region. This finding suggests that control efforts should be focused on these species which may reduce effects on nontarget wetland organisms. Our risk measure has broad applicability to other regions and diseases and can be adapted for use as a predictive tool of future human WNV infections.

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Metadata

Authors
Kilpatrick, A. M., Kramer, L. D., Campbell, S. R., Alleyne, E. O., Dobson, A. P., & Daszak, P.
Venue
Emerging Infectious Diseases
Published
2005-03
Volume
11
Issue
3
Pages
425-429
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2127045006
Cited by
400
References
2
FWCI
25.88
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: West Nile Virus Risk Assessment and the Bridge Vector Paradigm. https://app.cochat.ai/papers/10.3201/eid1103.040364
The paper
Kilpatrick, A. M., Kramer, L. D., Campbell, S. R., Alleyne, E. O., Dobson, A. P., & Daszak, P. (2005). West Nile Virus Risk Assessment and the Bridge Vector Paradigm. Emerging Infectious Diseases. https://doi.org/10.3201/eid1103.040364

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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.