Cargando…
Forecasting and control of emerging infectious forest disease through participatory modelling
Epidemiological models are powerful tools for evaluating scenarios and visualizing patterns of disease spread, especially when comparing intervention strategies. However, the technical skill required to synthesize and operate computational models frequently renders them beyond the command of the sta...
Autores principales: | Gaydos, Devon A., Petrasova, Anna, Cobb, Richard C., Meentemeyer, Ross K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558554/ https://www.ncbi.nlm.nih.gov/pubmed/31104598 http://dx.doi.org/10.1098/rstb.2018.0283 |
Ejemplares similares
-
Evaluating online and tangible interfaces for engaging stakeholders in forecasting and control of biological invasions
por: Gaydos, Devon A., et al.
Publicado: (2021) -
Iteratively forecasting biological invasions with PoPS and a little help from our friends
por: Jones, Chris M, et al.
Publicado: (2021) -
Point Density Variations in Airborne Lidar Point Clouds
por: Petras, Vaclav, et al.
Publicado: (2023) -
Landscape Epidemiology and Control of Pathogens with Cryptic and Long-Distance Dispersal: Sudden Oak Death in Northern Californian Forests
por: Filipe, João A. N., et al.
Publicado: (2012) -
Forecasting infectious disease emergence subject to seasonal forcing
por: Miller, Paige B., et al.
Publicado: (2017)