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Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales

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Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales. / Fenton, S. E.; Clough, H. E.; Diggle, P. J. et al.
In: Epidemiology and Infection, Vol. 137, No. 6, 06.2009, p. 847-857.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fenton, SE, Clough, HE, Diggle, PJ, Evans, SJ, Davison, HC, Vink, WD & French, NP 2009, 'Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales', Epidemiology and Infection, vol. 137, no. 6, pp. 847-857. https://doi.org/10.1017/S0950268808001349

APA

Fenton, S. E., Clough, H. E., Diggle, P. J., Evans, S. J., Davison, H. C., Vink, W. D., & French, N. P. (2009). Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales. Epidemiology and Infection, 137(6), 847-857. https://doi.org/10.1017/S0950268808001349

Vancouver

Fenton SE, Clough HE, Diggle PJ, Evans SJ, Davison HC, Vink WD et al. Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales. Epidemiology and Infection. 2009 Jun;137(6):847-857. doi: 10.1017/S0950268808001349

Author

Fenton, S. E. ; Clough, H. E. ; Diggle, P. J. et al. / Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales. In: Epidemiology and Infection. 2009 ; Vol. 137, No. 6. pp. 847-857.

Bibtex

@article{0dc447427acc443bbcbdc3aef16a51a1,
title = "Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales",
abstract = "Using data from a cohort study conducted by the Veterinary Laboratories Agency (VLA), evidence of spatial clustering at distances up to 30 kin was found for S. Agama and S. Dublin (P values of 0001) and borderline evidence was found for spatial clustering of S. Typhimurium (P = 0.077). The evolution of infection status of study farms over time was modelled using a Markov Chain model with transition probabilities describing changes in Status at each of four visits, allowing for the effect of sampling visit. The degree of geographical clustering of infection, having allowed for temporal effects, was assessed by comparing the residual deviance from a model including a measure of recent neighbourhood infection levels with one excluding this variable. The number of cases arising within a defined distance and time period of an index case was higher than expected. This provides evidence for spatial and Spatio-temporal clustering, which suggests either a contagious process (e.g. through direct or indirect farm-to-farm transmission) or geographically localized environmental and/or farm factors which increase the risk of infection. The results emphasize the different epidemiology of the three Salmonella serovars investigated.",
keywords = "Epidemiology, K-function analysis, Markov chain, Salmonella, spatial clustering, RISK-FACTORS, 2ND-ORDER ANALYSIS, CATTLE, CONTAMINATION, TRANSMISSION, SEROTYPES, ENTERICA, BADGERS, USA",
author = "Fenton, {S. E.} and Clough, {H. E.} and Diggle, {P. J.} and Evans, {S. J.} and Davison, {H. C.} and Vink, {W. D.} and French, {N. P.}",
note = "http://journals.cambridge.org/action/displayJournal?jid=HYG The final, definitive version of this article has been published in the Journal, Epidemiology and Infection, 137 (6), pp 847-857 2009, {\textcopyright} 2009 Cambridge University Press.",
year = "2009",
month = jun,
doi = "10.1017/S0950268808001349",
language = "English",
volume = "137",
pages = "847--857",
journal = "Epidemiology and Infection",
issn = "0950-2688",
publisher = "Cambridge University Press",
number = "6",

}

RIS

TY - JOUR

T1 - Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales

AU - Fenton, S. E.

AU - Clough, H. E.

AU - Diggle, P. J.

AU - Evans, S. J.

AU - Davison, H. C.

AU - Vink, W. D.

AU - French, N. P.

N1 - http://journals.cambridge.org/action/displayJournal?jid=HYG The final, definitive version of this article has been published in the Journal, Epidemiology and Infection, 137 (6), pp 847-857 2009, © 2009 Cambridge University Press.

PY - 2009/6

Y1 - 2009/6

N2 - Using data from a cohort study conducted by the Veterinary Laboratories Agency (VLA), evidence of spatial clustering at distances up to 30 kin was found for S. Agama and S. Dublin (P values of 0001) and borderline evidence was found for spatial clustering of S. Typhimurium (P = 0.077). The evolution of infection status of study farms over time was modelled using a Markov Chain model with transition probabilities describing changes in Status at each of four visits, allowing for the effect of sampling visit. The degree of geographical clustering of infection, having allowed for temporal effects, was assessed by comparing the residual deviance from a model including a measure of recent neighbourhood infection levels with one excluding this variable. The number of cases arising within a defined distance and time period of an index case was higher than expected. This provides evidence for spatial and Spatio-temporal clustering, which suggests either a contagious process (e.g. through direct or indirect farm-to-farm transmission) or geographically localized environmental and/or farm factors which increase the risk of infection. The results emphasize the different epidemiology of the three Salmonella serovars investigated.

AB - Using data from a cohort study conducted by the Veterinary Laboratories Agency (VLA), evidence of spatial clustering at distances up to 30 kin was found for S. Agama and S. Dublin (P values of 0001) and borderline evidence was found for spatial clustering of S. Typhimurium (P = 0.077). The evolution of infection status of study farms over time was modelled using a Markov Chain model with transition probabilities describing changes in Status at each of four visits, allowing for the effect of sampling visit. The degree of geographical clustering of infection, having allowed for temporal effects, was assessed by comparing the residual deviance from a model including a measure of recent neighbourhood infection levels with one excluding this variable. The number of cases arising within a defined distance and time period of an index case was higher than expected. This provides evidence for spatial and Spatio-temporal clustering, which suggests either a contagious process (e.g. through direct or indirect farm-to-farm transmission) or geographically localized environmental and/or farm factors which increase the risk of infection. The results emphasize the different epidemiology of the three Salmonella serovars investigated.

KW - Epidemiology

KW - K-function analysis

KW - Markov chain

KW - Salmonella

KW - spatial clustering

KW - RISK-FACTORS

KW - 2ND-ORDER ANALYSIS

KW - CATTLE

KW - CONTAMINATION

KW - TRANSMISSION

KW - SEROTYPES

KW - ENTERICA

KW - BADGERS

KW - USA

U2 - 10.1017/S0950268808001349

DO - 10.1017/S0950268808001349

M3 - Journal article

VL - 137

SP - 847

EP - 857

JO - Epidemiology and Infection

JF - Epidemiology and Infection

SN - 0950-2688

IS - 6

ER -