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Cited by in F6Publishing
For: Keyel AC, Gorris ME, Rochlin I, Uelmen JA, Chaves LF, Hamer GL, Moise IK, Shocket M, Kilpatrick AM, DeFelice NB, Davis JK, Little E, Irwin P, Tyre AJ, Helm Smith K, Fredregill CL, Elison Timm O, Holcomb KM, Wimberly MC, Ward MJ, Barker CM, Rhodes CG, Smith RL. A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making. PLoS Negl Trop Dis 2021;15:e0009653. [PMID: 34499656 DOI: 10.1371/journal.pntd.0009653] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Holcomb KM, Mathis S, Staples JE, Fischer M, Barker CM, Beard CB, Nett RJ, Keyel AC, Marcantonio M, Childs ML, Gorris ME, Rochlin I, Hamins-Puértolas M, Ray EL, Uelmen JA, DeFelice N, Freedman AS, Hollingsworth BD, Das P, Osthus D, Humphreys JM, Nova N, Mordecai EA, Cohnstaedt LW, Kirk D, Kramer LD, Harris MJ, Kain MP, Reed EMX, Johansson MA. Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction. Parasit Vectors 2023;16:11. [PMID: 36635782 DOI: 10.1186/s13071-022-05630-y] [Reference Citation Analysis]
2 Bondo KJ, Montecino‐latorre D, Williams L, Helwig M, Duren K, Hutchinson ML, Walter WD. Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximations. Ecosphere 2023;14. [DOI: 10.1002/ecs2.4346] [Reference Citation Analysis]
3 Marini G, Pugliese A, Wint W, Alexander NS, Rizzoli A, Rosà R. Modelling the West Nile virus force of infection in the European human population. One Health 2022. [DOI: 10.1016/j.onehlt.2022.100462] [Reference Citation Analysis]
4 Holcomb KM, Mathis S, Staples JE, Fischer M, Barker CM, Beard CB, Nett RJ, Keyel AC, Marcantonio M, Childs ML, Gorris ME, Rochlin I, Hamins-puértolas M, Ray EL, Uelmen JA, Defelice N, Freedman AS, Hollingsworth BD, Das P, Osthus D, Humphreys JM, Nova N, Mordecai EA, Cohnstaedt LW, Kirk D, Kramer LD, Harris MJ, Kain MP, Reed EM, Johansson MA. Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease prediction.. [DOI: 10.21203/rs.3.rs-1992050/v1] [Reference Citation Analysis]
5 Wimberly MC, Davis JK, Hildreth MB, Clayton JL. Integrated Forecasts Based on Public Health Surveillance and Meteorological Data Predict West Nile Virus in a High-Risk Region of North America. Environ Health Perspect 2022;130:87006. [PMID: 35972761 DOI: 10.1289/EHP10287] [Reference Citation Analysis]
6 Farooq Z, Rocklöv J, Wallin J, Abiri N, Sewe MO, Sjödin H, Semenza JC. Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers. The Lancet Regional Health - Europe 2022;17:100370. [DOI: 10.1016/j.lanepe.2022.100370] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 Dye-braumuller KC, Gordon JR, Mccoy K, Johnson D, Dinglasan R, Nolan MS, Faraji A. Riding the Wave: Reactive Vector-Borne Disease Policy Renders the United States Vulnerable to Outbreaks and Insecticide Resistance. Journal of Medical Entomology 2022. [DOI: 10.1093/jme/tjab219] [Reference Citation Analysis]