scispace - formally typeset
M

Margo Chase-Topping

Researcher at University of Edinburgh

Publications -  84
Citations -  4621

Margo Chase-Topping is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Population & Escherichia coli. The author has an hindex of 32, co-authored 75 publications receiving 4086 citations. Previous affiliations of Margo Chase-Topping include Public Health England & The Roslin Institute.

Papers
More filters
Journal ArticleDOI

Dynamics of the 2001 UK foot and mouth epidemic: stochastic dispersal in a heterogeneous landscape

TL;DR: An individual farm–based stochastic model of the current UK epidemic of foot-and-mouth disease reveals the infection dynamics at an unusually high spatiotemporal resolution, and shows that the spatial distribution, size, and species composition of farms all influence the observed pattern and regional variability of outbreaks.
Journal ArticleDOI

Human viruses: discovery and emergence

TL;DR: Extrapolation of the discovery curve suggests that there is still a substantial pool of undiscovered human virus species, although an apparent slow-down in the rate of discovery of species from different families may indicate bounds to the potential range of diversity.
Journal ArticleDOI

Super-shedding and the link between human infection and livestock carriage of Escherichia coli O157

TL;DR: Super-shedding has been observed to be associated with colonization at the terminal rectum and might also occur more often with certain pathogen phage types, and epidemiological evidence suggests that super- sheddingding might be important in other bacterial and viral infections.
Journal ArticleDOI

Heterogeneous shedding of Escherichia coli O157 in cattle and its implications for control.

TL;DR: A greater understanding of the cause of the heterogeneity in bacterial carriage could lead to highly efficient control measures to reduce the prevalence of E. coli O157 in cattle farms in Scotland.
Journal ArticleDOI

The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak

TL;DR: A novel parameter–free method that permits direct estimation of the history of transmission events recoverable from detailed observation of a particular epidemic and develops a bootstrap algorithm that generates percentile intervals for these estimates that shows the procedure to be both precise and robust to possible uncertainties in the historical reconstruction.