Epidemiological risk assessment using linked network and grid based modelling: Phytophthora ramorum and Phytophthora kernoviae in the UK.
By T. Harwood, Xiang-ming Xu, Marco Pautasso, M. Jeger, M. Shaw. 2009
86 citations recorded by the source corpus.
Subfields: Cell Biology, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/37f75e13b36da46c4bd4861be472f65a835d1058
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
- Ross K. Meentemeyer
- David M. Rizzo
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
- Nik J. Cunniffe
- M. Garbelotto
In Molecular Biology
- Ross K. Meentemeyer
- David M. Rizzo
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
- Nik J. Cunniffe
- M. Garbelotto
In Plant Science
- Ross K. Meentemeyer
- David M. Rizzo
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
- Nik J. Cunniffe
- M. Garbelotto
Citations in the corpus
- Guidance on quantitative pest risk assessment (2018, background): “They note that epidemiological network modelling (Harwood et al., 2009) is potentially a powerful and mechanistically sound way to calculate spread processes.”
- Epidemiological modeling of invasion in heterogeneous landscapes: spread of sudden oak death in California (1990–2030) (2011, background): “Where the complexity of human movement is critical, such as in the UK, models of sudden oak death spread may additionally need to account for human activities in a trade network (e.g., Harwood et al. 2009).”
- Impacts of climate change on plant diseases—opinions and trends (2012, background): “…a negative way meta-populations of species of conservation interest, but could make dispersal of plant pathogens more difficult across the shifting distributional ranges of their old and new hosts (Margosian et al. 2009), unless long-distance links are provided by plant trade (Harwood et al. 2009).”