Publication Date:
2001-10-27
Description:
Foot-and-mouth is one of the world's most economically important livestock diseases. We developed an individual farm-based stochastic model of the current UK epidemic. The fine grain of the epidemiological data reveals the infection dynamics at an unusually high spatiotemporal resolution. We show that the spatial distribution, size, and species composition of farms all influence the observed pattern and regional variability of outbreaks. The other key dynamical component is long-tailed stochastic dispersal of infection, combining frequent local movements with occasional long jumps. We assess the history and possible duration of the epidemic, the performance of control strategies, and general implications for disease dynamics in space and time.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Keeling, M J -- Woolhouse, M E -- Shaw, D J -- Matthews, L -- Chase-Topping, M -- Haydon, D T -- Cornell, S J -- Kappey, J -- Wilesmith, J -- Grenfell, B T -- New York, N.Y. -- Science. 2001 Oct 26;294(5543):813-7. Epub 2001 Oct 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. matt@zoo.cam.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11679661" target="_blank"〉PubMed〈/a〉
Keywords:
Animal Husbandry
;
Animals
;
Cattle
;
Cattle Diseases/epidemiology/transmission
;
Disease Outbreaks/*veterinary
;
Disease Susceptibility/veterinary
;
Foot-and-Mouth Disease/*epidemiology/prevention & control/transmission
;
Foot-and-Mouth Disease Virus/immunology
;
Great Britain/epidemiology
;
Models, Biological
;
*Models, Statistical
;
Sheep
;
Sheep Diseases/epidemiology/transmission
;
Space-Time Clustering
;
Stochastic Processes
;
Vaccination/veterinary
;
Viral Vaccines/administration & dosage
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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