Dr. Ryan Carney
DYCAST is a spatiotemporal modeling algorithm for predicting hot spots of virus transmission
left: dengue model (Carney 2010). right: real-time prediction of West Nile virus epidemic in Sacramento County, California (Carney et al 2011)
Software
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DYCAST 3.0 and QGIS plugin, developed by Vincent Meijer: https://github.com/CarneyLab
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DYCAST 2.0, developed by Alan McConchie: https://github.com/almccon/DYCAST
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Publications
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Early warning system for West Nile virus risk areas, California, USA pdf
Carney RM, Ahearn SC, McConchie A, Glaser C, Jean C, Barker C, Park B, Padgett K, Parker E, Aquino E, Kramer V. 2011. Emerging Infectious Diseases 17(8):1445-54.
GIS-based early warning system for predicting high-risk areas of dengue virus transmission, Ribeirão Preto, Brazil pdf
Carney RM. 2010. Master of Public Health Thesis. Yale University. Winner of Dean’s Prize for Outstanding Thesis.
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First evidence of West Nile virus amplification and relationship to human infections pdf
Theophilides, C. N., Ahearn, S. C., Binkowski, E. S., Paul, W. S., & Gibbs, K. 2006. International Journal of Geographical Information Science, 20(1):103-115.
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Identifying West Nile virus risk areas: the dynamic continuous-area space-time system pdf
Theophilides, C. N., Ahearn, S. C., Grady, S., & Merlino, M. 2003. American Journal of Epidemiology, 157(9):843-854.
A Comparison of two Significance Testing Methodologies for the Knox Test pdf
Theophilides, C. N., E. S. Binkowski, S. C. Ahearn, & W. S. Paul. 2008. International Journal of Geoinformatics 4(3).