Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rachel E. Murray-Watson"'
Publikováno v:
PLOS Digital Health, Vol 3, Iss 8, p e0000549 (2024)
Despite the emergence of antimicrobial-resistant (AMR) strains of Neisseria gonorrhoeae, the treatment of gonorrhea remains empiric and according to standardized guidelines, which are informed by the national prevalence of resistant strains. Yet, the
Externí odkaz:
https://doaj.org/article/c10e0d1123444099826bfa922e9e4fce
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8 (2022)
While the spread of plant disease depends strongly on biological factors driving transmission, it also has a human dimension. Disease control depends on decisions made by individual growers, who are in turn influenced by a broad range of factors. Des
Externí odkaz:
https://doaj.org/article/55571f85d4ba45b5a889b35126eb0832
Expanding growers' choice of plant disease management options can promote suboptimal social outcomes
Autor:
Nik Cunniffe, Rachel E. Murray-Watson
Publikováno v:
Plant Pathology. 72:933-950
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30d61fe49852cf2f642dcd1f6e43d56a
https://doi.org/10.1111/ppa.13705
https://doi.org/10.1111/ppa.13705
Autor:
Nik Cunniffe, Rachel E. Murray-Watson
Publikováno v:
Journal of The Royal Society Interface. 19
Population-scale effects of resistant or tolerant crop varieties have received little consideration from epidemiologists. When growers deploy tolerant crop, population-scale disease pressures are often unaffected. This only benefits growers using tol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53670508f253706a02594b44e31c2f82
https://doi.org/10.1098/rsif.2022.0517
https://doi.org/10.1098/rsif.2022.0517
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, 2022, 18 (8), pp.e1010309. ⟨10.1371/journal.pcbi.1010309⟩
PLoS Computational Biology, 2022, 18 (8), pp.e1010309. ⟨10.1371/journal.pcbi.1010309⟩
While the spread of plant disease depends strongly on biological factors driving transmission, it also has a human dimension. Disease control depends on decisions made by individual growers, who are in turn influenced by a broad range of factors. Des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10c674ddc0d0f301289c367133dc7d2
1AbstractPrevious models of growers’ decision-making during epidemics have unrealistically limited disease management choices to just two options. Here, we expand previous game-theoretic models of grower decision-making to include three control opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294a45e2d7c8d71c274d9947d9414caf
https://doi.org/10.1101/2022.09.05.506581
https://doi.org/10.1101/2022.09.05.506581
1SummaryDisease management often involves genetically improved crops. Resistant varieties are less susceptible, and so less likely to act as reservoirs of inoculum. Tolerant varieties can be highly susceptible, but limit yield loss for those who grow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc93f6b0cdbe318adfdccd2e812a5659
https://doi.org/10.1101/2022.06.13.495875
https://doi.org/10.1101/2022.06.13.495875
Autor:
H.P. Santos-Filho, Nik J. Cunniffe, Ana Cristina Fermino Soares, Suely Xavier de Brito Silva, Rachel E. Murray-Watson, Francisco Ferraz Laranjeira
Citrus greasy spot (CGS), caused byZasmidium citri, induces premature defoliation and yield loss inCitrusspp. CGS epidemiology is well understood in areas of high humidity such as Florida (USA), but remains unaddressed in Brazil, despite differing cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6d6d5c1f6a365fae5e6358deef0bc81
Publikováno v:
PLoS Digital Health; 8/14/2024, Vol. 3 Issue 8, p1-14, 14p
Autor:
Murray-Watson, Rachel E.1 (AUTHOR) rm844@cam.ac.uk, Hamelin, Frédéric M.2 (AUTHOR), Cunniffe, Nik J.1 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 8/22/2022, Vol. 18 Issue 8, p1-27. 27p. 1 Diagram, 3 Charts, 5 Graphs.