The Foot-and-Mouth Epidemic in Great Britain: Pattern of Spread and Impact of Interventions
By Neil M. Ferguson, C. Donnelly, R. Anderson. Science, 2001
725 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Infectious Diseases
View Paper: https://www.semanticscholar.org/paper/d996865b2e6ac1ee4d5931ce0ca6d43d84879c9b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- M. Keeling
- R. Smith
- Alex R. Cook
- Jane Marie Heffernan
- Justin Lessler
- Ross K. Meentemeyer
- Ken T. D. Eames
- Lindi M. Wahl
In Cardiology and Cardiovascular Medicine
In Infectious Diseases
- M. Keeling
- R. Smith
- Alex R. Cook
- Jane Marie Heffernan
- Justin Lessler
- Ross K. Meentemeyer
- Ken T. D. Eames
- Lindi M. Wahl
Citations in the corpus
- The economics of animal health and production. (2008, background): “One model in particular, that of Ferguson et al. (2001), played a key role in the decision leading to the British Government adopting a contiguous cull policy.”
- Epidemiological modeling of invasion in heterogeneous landscapes: spread of sudden oak death in California (1990–2030) (2011, background): “With notable exceptions largely confined to agriculture (e.g., Ferguson et al. 2001, Keeling et al. 2001), dynamic models of epidemic spread rarely incorporate landscape heterogeneity of host species populations.”
- SPREAD OF AN INVASIVE PATHOGEN OVER A VARIABLE LANDSCAPE: A NONNATIVE ROOT ROT ON PORT ORFORD CEDAR (2002, background): “For example, Ferguson et al. (2001) demonstrated that the recent epidemic of footand-mouth disease across the Great Britain countryside expanded rapidly at first due to high rates of contact of infected animals with other susceptibles at livestock auctions.”
- Improved inference of time-varying reproduction numbers during infectious disease outbreaks (2019, background): “can be drawn from diseases of humans (e.g. the outbreaks of Ebola virus disease in West Africa in (WHO Ebola Response Team, 2014 and in the Democratic Republic of the Congo in 2018-19 (The Ebola Outbreak Epidemiology Team, 2018)), animals (e.g. the epidemics of foot-and-mouth disease in 2001 and 200”
- Perspectives on the basic reproductive ratio (2005, methodology): “These values are instead used to justify severe or costly control measures (e.g. FMD; Ferguson et al. 2001; Matthews et al. 2003), or less severe, more sustainable measures (e.g. malaria on Principe; Hagmann et al. 2003).”
- Biological Attack on Agriculture: Low-Tech, High-Impact Bioterrorism (2002, background): “…have pointed out that terrorist attacks on livestock or crops, although unlikely to cause terror, are also a concern because they could be executed much more easily and could have serious economic consequences (Frazier and Richardson 1999, Horn and Breeze 1999, Casagrande 2000, Wheelis 2000).”
- White-nose syndrome is likely to extirpate the endangered Indiana bat over large parts of its range (2013, background): “…indices, and indicates the importance of and proportion of variance attributed to parameter interactions. available (Flory et al., 2012; Hallam and Federico, 2012; Swezey and Garrity, 2012), spatially explicit modeling of host-pathogen relations may also be possible (e.g., Ferguson et al., 2001).”
- Networks and the Epidemiology of Infectious Disease (2010, background): “This assumed that the source of infection was correctly identified by the field investigators, thereby giving an empirical estimate of the probability of infection as a function of distance [148, 176, 177].”
- The pathogenesis and diagnosis of foot-and-mouth disease. (2003, background): “…models played a major part in influencing disease control strategy; however, they had not been used previously under operational conditions (Ferguson et al., 2001) and the assumptions behind them as well as the justification for the use of such average-based, mathematically-derived,…”
- Networks and epidemic models (2005, positive): “They have also been used to provide real-time predictions during the 2001 foot and mouth epidemic in the UK (Ferguson et al. 2001).”