Literature DB >> 18680429

Epidemiological models for invasion and persistence of pathogens.

Christopher A Gilligan1, Frank van den Bosch.   

Abstract

Motivated by questions such as "Why do some diseases take off, while others die out?" and "How can we optimize the deployment of control methods," we introduce simple epidemiological concepts for the invasion and persistence of plant pathogens. An overarching modeling framework is then presented that can be used to analyze disease invasion and persistence at a range of scales from the microscopic to the regional. Criteria for invasion and persistence are introduced, initially for simple models of epidemics, and then for models with greater biological realism. Some ways in which epidemiological models are used to identify optimal strategies for the control of disease are discussed. Particular attention is given to the spatial structure of host populations and to the role of chance events in determining invasion and persistence of plant pathogens. Finally, three brief case studies are used to illustrate the practical applications of epidemiological theory to understand invasion and persistence of plant pathogens. These comprise long-term predictions for the persistence and control of Dutch elm disease; identification of methods to manage the spread of rhizomania on sugar beet in the U.K. by matching the scale of control with the spatial and temporal scales of the disease; and analysis of evolutionary change in virus control to identify risks of inadvertent selection for damaging virus strains.

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Year:  2008        PMID: 18680429     DOI: 10.1146/annurev.phyto.45.062806.094357

Source DB:  PubMed          Journal:  Annu Rev Phytopathol        ISSN: 0066-4286            Impact factor:   13.078


  38 in total

1.  Model analysis for plant disease dynamics co-mediated by herbivory and herbivore-borne phytopathogens.

Authors:  Takefumi Nakazawa; Takehiko Yamanaka; Satoru Urano
Journal:  Biol Lett       Date:  2012-04-04       Impact factor: 3.703

2.  The shape of the spatial kernel and its implications for biological invasions in patchy environments.

Authors:  Tom Lindström; Nina Håkansson; Uno Wennergren
Journal:  Proc Biol Sci       Date:  2010-11-03       Impact factor: 5.349

3.  Switching from a mechanistic model to a continuous model to study at different scales the effect of vine growth on the dynamic of a powdery mildew epidemic.

Authors:  Jean-Baptiste Burie; Michel Langlais; Agnès Calonnec
Journal:  Ann Bot       Date:  2010-12-01       Impact factor: 4.357

Review 4.  A curious case of resistance to a new encounter pathogen: myrtle rust in Australia.

Authors:  Peri A Tobias; David I Guest; Carsten Külheim; Ji-Fan Hsieh; Robert F Park
Journal:  Mol Plant Pathol       Date:  2016-03-22       Impact factor: 5.663

5.  Programmed Allee effect in bacteria causes a tradeoff between population spread and survival.

Authors:  Robert Smith; Cheemeng Tan; Jaydeep K Srimani; Anand Pai; Katherine A Riccione; Hao Song; Lingchong You
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-21       Impact factor: 11.205

6.  Dispersal Kernels may be Scalable: Implications from a Plant Pathogen.

Authors:  Daniel H Farber; Patrick De Leenheer; Christopher C Mundt
Journal:  J Biogeogr       Date:  2019-07-02       Impact factor: 4.324

7.  An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.

Authors:  Frédéric Fabre; Jean-Baptiste Burie; Arnaud Ducrot; Sébastien Lion; Quentin Richard; Ramsès Djidjou-Demasse
Journal:  Evol Appl       Date:  2021-12-31       Impact factor: 5.183

8.  Interaction effects between sender and receiver processes in indirect transmission of Campylobacter jejuni between broilers.

Authors:  Bram A D van Bunnik; Thomas J Hagenaars; Nico M Bolder; Gonnie Nodelijk; Mart C M de Jong
Journal:  BMC Vet Res       Date:  2012-07-25       Impact factor: 2.741

Review 9.  Microbial invasions in terrestrial ecosystems.

Authors:  Madhav P Thakur; Wim H van der Putten; Marleen M P Cobben; Mark van Kleunen; Stefan Geisen
Journal:  Nat Rev Microbiol       Date:  2019-07-26       Impact factor: 60.633

10.  An epidemiological framework for modelling fungicide dynamics and control.

Authors:  Matthew D Castle; Christopher A Gilligan
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

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