Ensemble forecast of human West Nile virus cases and mosquito infection rates
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DOI: 10.1038/ncomms14592
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Cited by:
- Sifat A Moon & Lee W Cohnstaedt & D Scott McVey & Caterina M Scoglio, 2019. "A spatio-temporal individual-based network framework for West Nile virus in the USA: Spreading pattern of West Nile virus," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-24, March.
- Nicholas B DeFelice & Zachary D Schneider & Eliza Little & Christopher Barker & Kevin A Caillouet & Scott R Campbell & Dan Damian & Patrick Irwin & Herff M P Jones & John Townsend & Jeffrey Shaman, 2018. "Use of temperature to improve West Nile virus forecasts," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-25, March.
- Nguyen, Ngoc T. & Bish, Ebru K. & Bish, Douglas R., 2021. "Optimal pooled testing design for prevalence estimation under resource constraints," Omega, Elsevier, vol. 105(C).
- Surendra Karki & William M Brown & John Uelmen & Marilyn O’Hara Ruiz & Rebecca Lee Smith, 2020. "The drivers of West Nile virus human illness in the Chicago, Illinois, USA area: Fine scale dynamic effects of weather, mosquito infection, social, and biological conditions," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
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