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Data-driven identification of potential Zika virus vectors
View ORCID ProfileMichelle V. Evans, Tad A. Dallas, Barbara A. Han, Courtney C. Murdock, John M. Drake
doi: https://doi.org/10.1101/077966
Michelle V. Evans
1Odum School of Ecology, University of Georgia, Athens, GA, USA
5Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
Tad A. Dallas
1Odum School of Ecology, University of Georgia, Athens, GA, USA
2Department of Environmental Science and Policy, University of California-Davis, Davis, CA, USA
Barbara A. Han
3Cary Institute of Ecosystem Studies, Millbrook, NY, USA
Courtney C. Murdock
1Odum School of Ecology, University of Georgia, Athens, GA, USA
4Department of Infectious Disease, University of Georgia, Athens, GA, USA
5Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
6Center for Tropical Emerging Global Diseases, University of Georgia, Athens, GA, USA
7Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
8River Basin Center, University of Georgia, Athens, GA, USA
John M. Drake
1Odum School of Ecology, University of Georgia, Athens, GA, USA
5Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
8River Basin Center, University of Georgia, Athens, GA, USA
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Posted February 06, 2017.
Data-driven identification of potential Zika virus vectors
Michelle V. Evans, Tad A. Dallas, Barbara A. Han, Courtney C. Murdock, John M. Drake
bioRxiv 077966; doi: https://doi.org/10.1101/077966
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