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Research Article

A Hierarchical Network Approach for Modeling Rift Valley Fever Epidemics with Applications in North America

  • Ling Xue,

    Affiliation: Kansas State Epicenter, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas, United States of America

    X
  • Lee W. Cohnstaedt mail,

    lee.cohnstaedt@ars.usda.gov

    Affiliation: Center for Grain and Animal Health Research, United States Department of Agriculture, Manhattan, Kansas, United States of America

    X
  • H. Morgan Scott,

    Affiliation: Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas, United States of America

    X
  • Caterina Scoglio

    Affiliation: Kansas State Epicenter, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas, United States of America

    X
  • Published: May 07, 2013
  • DOI: 10.1371/journal.pone.0062049

About the Authors

Ling Xue, Caterina Scoglio
Kansas State Epicenter, Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas, United States of America
Lee W. Cohnstaedt
Center for Grain and Animal Health Research, United States Department of Agriculture, Manhattan, Kansas, United States of America
H. Morgan Scott
Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas, United States of America

Corresponding Author

Email: lee.cohnstaedt@ars.usda.gov

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: LX CS. Performed the experiments: LX CS. Analyzed the data: LX LWC HMS CS. Contributed reagents/materials/analysis tools: LX LWC HMS CS. Wrote the paper: LX LWC HMS CS.