Tildesley, Michael J. and Ryan, Sadie J.. (2012) Disease prevention versus data privacy : using landcover maps to inform spatial epidemic models. PLoS Computational Biology, Vol.8 (No.11). e1002723. ISSN 1553-7358

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Abstract

The availability of epidemiological data in the early stages of an outbreak of an infectious disease is vital for modelers to make accurate predictions regarding the likely spread of disease and preferred intervention strategies. However, in some countries, the necessary demographic data are only available at an aggregate scale. We investigated the ability of models of livestock infectious diseases to predict epidemic spread and obtain optimal control policies in the event of imperfect, aggregated data. Taking a geographic information approach, we used land cover data to predict UK farm locations and investigated the influence of using these synthetic location data sets upon epidemiological predictions in the event of an outbreak of foot-and-mouth disease. When broadly classified land cover data were used to create synthetic farm locations, model predictions deviated significantly from those simulated on true data. However, when more resolved subclass land use data were used, moderate to highly accurate predictions of epidemic size, duration and optimal vaccination and ring culling strategies were obtained. This suggests that a geographic information approach may be useful where individual farm-level data are not available, to allow predictive analyses to be carried out regarding the likely spread of disease. This method can also be used for contingency planning in collaboration with policy makers to determine preferred control strategies in the event of a future outbreak of infectious disease in livestock.

Item Type:	Journal Article
Subjects:	S Agriculture > SF Animal culture
Divisions:	Faculty of Science > Centre for Complexity Science Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH):	Communicable diseases -- Transmission -- Mathematical models, Land cover, Farms -- Data processing
Journal or Publication Title:	PLoS Computational Biology
Publisher:	Public Library of Science
ISSN:	1553-7358
Date:	2012
Volume:	Vol.8
Number:	No.11
Page Range:	e1002723
Identification Number:	10.1371/journal.pcbi.1002723
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	National Science Foundation (U.S.) (NSF), United States. Dept. of Homeland Security, United States. Dept. of Agriculture, University of Tennessee, Knoxville, National Institutes of Health (U.S.) (NIH), University of California, Santa Barbara, California
Grant number:	EF-0832858 (NSF), ST-108-000017 (DHS), EF-0553768 (NSF)
References:	1. Anderson I (2002). Foot and Mouth Disease 2001: Lessons to be Learned Enquiry. London: The Stationary Office. 2. Keeling MJ, Woolhouse MEJ, Shaw DJ, Matthews L, Chase-Topping ME, et al. (2001). Dynamics of the 2001 UK foot and mouth epidemic: stochastic dispersal in a heterogeneous landscape. Science 294: 813–817. 3. Ferguson NM, Donnelly CA, Anderson RM (2001a). Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain. Nature 413: 542–548. 4. Tildesley MJ, Bessell PR, Keeling MJ, Woolhouse MEJ (2009). The role of preemptive culling in the control of Foot-and-Mouth Disease. Proc Roy Soc B 276: 3239–3248. 5. Diggle PJ (2006). Spatio-temporal point processes, partial likelihood, foot and mouth disease. Stat Methods Med Res 25: 325–336. 6. Bessell PR, Shaw DJ, Savill NJ, Woolhouse MEJ (2009). Statistical modeling of holding level susceptibility to infection during the UK 2001 Foot and Mouth Disease epidemic. Int J Infect Dis 14: E210–E215. 7. Deardon R, Brooks SP, Grenfell BT, Keeling MJ, Tildesley MJ et al. (2009). Inference for individual-level models of infectious diseases in large populations. Stat Sin 20: 239–261. 8. Keeling MJ, Woolhouse MEJ, May RM, Davies G, Grenfell BT (2003). Modeling vaccination strategies against foot-and-mouth disease. Nature 421: 136–142. 9. Tildesley MJ, Savill NJ, Shaw DJ, Deardon R, Brooks SP, et al. (2006). Optimal reactive vaccination strategies for a foot-and-mouth outbreak in Great Britain. Nature 440: 83–86. 10. Tildesley MJ, Keeling MJ (2008). Modeling foot-and-mouth disease: A comparison between the UK and Denmark. Prev Vet Med 85: 107–124. 11. Ferguson NM, Cummings DAT, Cauchemez S, Fraser C, Riley S, et al. (2005). Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437: 209–214. 12. Gudelj I, White KAJ (2004). Spatial heterogeneity, social structure and disease dynamics of animal populations. Theor Popul Biol 66: 139–149. 13. Swinton J, Harwood J, Grenfell BT, Gilligan CA (1998). Persistence thresholds for phocine distemper virus infection in harbour seal Phoca vitulina metapopulations. J An Ecol 67: 54–68. 14. Hugh-Jones ME (1972). Epidemiological studies on 1967–1968 Foot and Mouth Epidemic - attack rates and cattle density. Res Vet Sci 13: 411–417. 15. Ferguson NM, Donnelly CA, Anderson RM (2001b). The foot-and-mouth epidemic in Great Britain: pattern of spread and impact of interventions. Science 292: 1155–1160. 16. Taylor NM, Honhold N, Paterson AD, Mansley LM (2004). Risk of foot-andmouth disease associated with proximity in space and time to infected premises and the implications for control policy during the 2001 epidemic in Cumbria. Vet Rec 154: 617–626. 17. Tildesley MJ, House TA, Bruhn MC, Curry RJ, O’Neil M et al. (2010). Impact of spatial clustering on disease transmission and optimal control. Proc Natl Acad Sci U S A 107: 1041–1046. 18. Dion E, VanSchalkwky L, Lambin EF (2010). The landscape epidemiology of foot-and-mouth disease in South Africa: A spatially explicit multi-agent simulation. Ecol Model 222: 2059–2072. 19. Lambin EF, Tran A, Vanwambeke SO, Linard C, Soti V (2010). Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts. Int J Health Geogr 9: 54. 20. Ostfield RS, Glass GE, Keesing F (2005). Spatial epidemiology: an emerging (or re-emerging) discipline. Trends Ecol Evol 20: 328–336. 21. Rogers DJ and Randolph SE (1991). Mortality rates and population density of tsetse flies correlated with satellite imagery. Nature 351: 739–741. 22. Estrada-Pena A (2002). Increasing habitat suitability in the United States for the tick that transmits Lyme disease: a remote sensing approach. Environ Health Perspect 110: 635–640. 23. Fuller RM, Smith GM, Sanderson JM, Hill RA, Thomson AG (2002). The UK Land Cover Map 2000: Construction of a Parcel-Based Vector Map from Satellite Images. Cartogr J 39: 15–25. 24. Fuller RM, Cox R, Clarke RT, Rothery P, Hill RA, et al. (2005). The UK land cover map 2000: Planning, construction and calibration of a remotely sensed, user-oriented map of broad habitats. Int J Appl Earth Obs 7: 202–216. 25. Diggle PJ (2006). Spatio-temporal point processes, partial likelihood, foot and mouth disease. Stat Methods Med Res 15: 325–336. 26. Jewell CP, Keeling MJ, Roberts GO (2008). Predicting undetected infections during the 2007 foot-and-mouth disease outbreak. J R Soc Interface 6: 1145– 1151. 27. King AA, Ionides EL, Pascual M, Bouma MJ (2008). Inapparent infections and cholera dynamics. Nature 454: 877–879.
URI:	http://wrap.warwick.ac.uk/id/eprint/52063

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