Spatial Analysis in Epidemiology

Spatial Analysis in Epidemiology

Volumn , Issue , 2008, Pages 1-154

  Pfeiffer, Dirk U ^a   Robinson, Timothy P ^b   Stevenson, Mark ^c   Stevens, Kim B ^a   Rogers, David J ^d   Clements, Archie C A ^e  

^a ROYAL VETERINARY COLLEGE   (United Kingdom)

^b UNITED NATIONS   (United States)

^c MASSEY UNIVERSITY   (New Zealand)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Disease Transmission; Diseases; Distribution; Gis; Incidence; Infectious Diseases; Non Infectious Diseases

Indexed keywords

EID: 84920459786     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780198509882.001.0001     Document Type: Book

References (444)

1. Aamodt, G., Samuelsen, S.O., Skrondal, A., 2006. A simulation study of three methods for detecting disease clusters. International Journal of Health Geographics 5, 15.
2. Abernethy, D.A., Pfeiffer, D.U., Denny, G.O.O., Torrens, T.D., McCullough, S.J., Graham, D.A., 2000. Evaluating airborne spread in a Newcastle disease epidemic in Northern Ireland. In: Salman, M., Morley, P., and Ruch-Gallie, R. (Eds.), Proceedings of the 9th Symposium of the International Society for Veterinary Epidemiology and Economics. Breckenridge, Colorado, USA, August 7-11.
3. Abrial, D., Calavas, D., Lauvergne, N., Morignat, E., Ducrot, C., 2003. Descriptive spatial analysis of BSE in western France. Veterinary Research 34, 749-760.
4. Abrial, D., Calavas, D., Jarrige, N., Ducrot, C., 2005. Spatial heterogeneity of the risk of BSE in France following the ban of meat and bone meal in cattle feed. Preventive Veterinary Medicine 67, 69-82.
5. Akaike, H., 1973. Information theory as an extension of the maximum likelihood principle. In: Petrov, B.N. and Csaki, F. (Eds.), Second International Symposium on Information Theory, pp. 267-281. Akademiai Kiado, Budapest.
6. Alexander, F.E., Boyle, P., 2000. Do cancers cluster?, In: Elliott, P., Wakefield, J.C., Best, N.G., Brigs, D.J. (Eds.), Spatial Epidemiology, pp. 302-316. Oxford University Press, Oxford.
7. Alexander, F.E., Cuzick, J., 1992. Methods for the assessment of disease clusters. In: Elliott, P., Cuzick, J., English, D., Stern, R. (Eds.), Geographical and Environmental Epidemiology: Methods for Small-Area Studies, pp. 238-250. Oxford University Press, Oxford.
8. Alexander, F.E., Williams, J., McKinney, P.A., Ricketts, T.J., Cartwright, R.A., 1989. A specialist leukaemia/lymphoma registry in the U. Part 2: Clustering of Hodg-kin's disease. British Journal of Cancer 60, 948-952.
9. Alexander, F.E., Ricketts, T.J., Williams, J., Cartwright, R.A., 1991. Methods of mapping and identifying small clusters of rare diseases with applications in geographical epidemiology. Geographical Analysis 23, 158-173.
10. Ali, M., Goovaerts, P., Nazia, N., Haq, M.Z., Yunus, M., Emch, M., 2006. Application of Poisson kriging to the mapping of cholera and dysentery incidence in an endemic area of Bangladesh. International Journal of Health Geographics 5, 45.
11. Anselin, L., 1995. Local indicators of spatial association - LISA. Geographical Analysis 27, 93-115.
12. Anselin, L., 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association., In: Fischer, M., Scholten, H., Unwin, D. (Eds.), Spatial Analytical Perspectives on GIS, pp. 111-125. Taylor and Francis, London.
13. Anselin, L., Syabri, I., Kho, Y., 2006. GeoDa: An introduction to spatial data analysis. Geographical Analysis 38, 5-22.
14. Antunes, J., Waldman, E., 2002. Trends and spatial distribution of deaths of children aged 12-60 months in Sao Paulo, Brazil, 1980-98. Bulletin of the World Health Organization 80, 391-398.
15. Arlinghaus, S., 1995. Practical Handbook of Spatial Statistics. CRC Press, New York.
16. Armitage, P., Berry, G., Mathews, J., 2002. Statistical Methods in Medical Research. Blackwell Publications, London.
17. Baddeley, A., Turner, R., 2000. Practical maximum pseudolikelihood for spatial point patterns (with discussion). Australian and New Zealand Journal of Statistics 43, 283-322.
18. Baddeley, A., Turner, R., 2002. Spatstat - Analysis for spatial point patterns. http://www.spatstat.org.
19. Bailey, T.C., Gatrell, A.C., 1995. Interactive Spatial Data Analysis. Longman Group, Harlow.
20. Baker, R.D., 1996. Testing for space-time clusters of unknown size. Journal of Applied Statistics 23, 543-554.
21. Banerjee, S., Carlin, B.P., Gelfand, A.E., 2004. Hierarchical Modelling and Analysis of Spatial Data. Chapman & Hall/CRC Press, USA.
22. Bartlett, M.S., 1947. Multivariate analysis. Journal of the Royal Statistical Society, Series B 9, 176-197.
23. Barton, D.E., David, F.N., Merrington, M., 1965. A criterion for testing contagion in time and spa. Annals of Human Genetics 29, 97-103.
24. Bell, B.S., Hoskins, R., Pickle, L., Wartenberg, D., 2006. Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public. International Journal of Health Geographics 5, 49.
25. Bellec, S., Hemon, D., Rudant, J., Goubin, A., Clavel, J., 2006. Spatial and space-time clustering of childhood acute leukaemia in France from 1990 to 2000: a nation-wide study. British Journal of Cancer 94, 763-770.
26. Bellido, J., Pierce, G., Wang, J., 2001. Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models. Fisheries Research 52, 23-39.
27. Benardinelli, L., Clayton, D., Montomoli, C., 1995. Bayesian estimates of disease maps: How important are priors? Statistics in Medicine 14, 2411-2431.
28. Berke, O., 2004. Exploratory disease mapping: kriging the spatial risk function from regional count data. International Journal of Health Geographics 3, 18.
29. Berman, M., Turner, T., 1992. Approximating point process likelihoods with GLM. Applied Statistics 41, 31-38.
30. Besag, J., 1989. Towards Bayesian image analysis. Journal of Applied Statistics 16, 395-407.
31. Besag, J., Mollié, A., 1989. Bayesian mapping of mortality rates. Bulletin of the International Statistical Institute 53, 127-128.
32. Besag, J., Newell, J., 1991. The detection of clusters in rare diseases. Journal of the Royal Statistical Society, Series A 154, 143-155.
33. Besag, J., York, J., Mollié, A., 1991. Bayesian image restoration with two applications in spatial statistics. Annals of the Institute of Statistics and Mathematics 43, 1-59.
34. Best, N., Waller, L., Thomas, A., Conlon, E., Arnold, R., 1999. Bayesian models for spatially correlated disease and exposure data. In: Bernardo, J., Berger, J., Dawid, A., Smith, A. (Eds.), Bayesian Statistics 6: Proceedings of the Sixth Valencia Meeting on Bayesian Statistics. pp. 131- 156, Oxford University Press, Oxford.
35. Best, N., Ickstadt, K., Wolpert, R., 2000. Spatial Poisson regression for health and exposure data measured at disparate resolutions. Journal of the American Statistical Association 95, 1076-1088.
36. Best, N., Richardson, S., Thomson, A., 2005. A comparison of Bayesian spatial models for disease mapping. Statistical Methods in Medical Research 14, 35-59.
37. Bithell, J.F., 1990. An application of density estimation to geographical epidemiology. Statistics in Medicine 9, 691-701.
38. Bithell, J.F., 1995. The choice of test for detecting a raised disease risk near a point source. Statistics in Medicine 14, 2309-2322.
39. Bithell, J.F., Stone, R.A., 1989. On statistical methods for analysing the geographical distribution of cancer cases near nuclear installations. Journal of Epidemiology and Community Health 43, 79-85.
40. Bithell, J.F., Dutton, S.J., Draper, G.J., Neary, N.M., 1994. Distribution of childhood leukaemias and non-Hodgkin's lymphomas near nuclear installations in England and Wales. British Medical Journal 309, 501-505.
41. Black, D. 1984. Investigation of the Possible Increased Incidence of Cancer in West Cumbria. Her Majesty's Stationary Office, London.
42. Böhning, D., Schlattmann, P., 1992. Computer-assisted analysis of mixtures (CAMAN): Statistical algorithms. Biometrics 48, 283-303.
43. Bonetti, M., Pagano, M., 2004. The interpoint distance distribution as a descriptor of point patterns with an application to spatial disease clustering. Statistics in Medicine 24, 753-773.
44. Bonham-Carter, G.F., 1994. Geographic Information Systems for Geoscientists: Modelling with GIS. Elsevier Science, Oxford.
45. Borchers, D., Buckland, S., Priede, I., Ahmadi, S., 1997. Improving the precision of the daily egg production method using generalised additive models. Canadian Journal of Fish and Aquatic Sciences 54, 2727-2742.
46. Boscoe, F.P., McLaughlin, C., Schymura, M.J., Kielb, C.L., 2003. Visualization of the spatial scan statistic using nested circles. Health and Place 9, 273-277.
47. Boscoe, F., Ward, M., Reynolds, P., 2004. Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer. International Journal of Health Geographics 3, 28.
48. Bowman, A.W., Azzalini, A., 1997. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.
49. Bravata, D.M., Sundaram, V., McDonald, K.M., Smith, W.M., Szeto, H., Schleinitz, M.D., Owens, D.K., 2004. Evaluating detection and diagnostic decision support systems for bioterrorism response. Emerging Infectious Diseases 10, 100-108.
50. Breslow, N., Clayton, D., 1993. Approximate inference in generalised linear mixed models. Journal of the American Statistical Association 88, 9-25.
51. Breslow, N., Day, N., 1987. The Design and Analysis of Cohort Studies Volume 2, IARC Scientific Publication No. 82. International Agency for Research on Cancer, Lyon.
52. Breusch, T., Pagan, A., 1979. A simple test for heteroscedasticity and random coefficient variation. Econometrica 47, 1287-1294.
53. Broman, A.T., Shun, K., Munoz, B., Duncan, D.D., West, S.K., 2006. Spatial clustering of ocular chlamydial infection over time following treatment, among (p.122) households in a village in Tanzania. Investigative Ophthalmology and Visual Science 47, 99-104.
54. Brooker, S., Clarke, S., Njagi, J.K., Polack, S., Mugo, B., Estambale, B., Muchiri, E., Magnussen, P., Cox, J., 2004. Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya. Tropical Medicine and International Health 9, 757-766.
55. Browne, W., 2005. MCMC Estimation in MLwiN Version 2.0. Centre for Multilevel Modelling, University of Bristol, Bristol.
56. Buntinx, F., Geys, H., Lousbergh, D., Broeders, G., Cloes, E., Dhollander, D., Op De Beeck, L., Vanden Brande, J., Van Waes, A., Molenberghs, G., 2003. Geographical differences in cancer incidence in the Belgian province of Limburg. European Journal of Cancer 39, 2058-2072.
57. Burra, T., Jerrett, M., Burnett, R.T., Anderson, M., 2002. Conceptual and practical issues in the detection of local disease clusters: A study of mortality in Hamilton, Ontario. The Canadian Geographer 46, 160-171.
58. Burrough, P.A., McDonnell, R.A., 1998. Principles of Geographical Information Systems. Oxford University Press, Oxford.
59. Caldwell, G.G., 1990. Twenty-two years of cancer cluster investigations at the centers for disease control. American Journal of Epidemiology 132, S43-S47.
60. Canters, F., DeClair, H., 1989. The World in Perspective: A Directory of World Map Projections. John Wiley & Sons, Chichester.
61. Carpenter, T.E., Ward, M.P., 2003. Methods for determining spatial clusters in surveillance and survey programs. In: Salman, M.D. (Ed.), Animal Disease Surveillance and Survey Systems, pp. 101-117, Iowa State University Press, Iowa.
62. Carpenter, T.E., Chriel, M., Andersen, M.M., Wulfson, L., Jensen, A.M., Houe, H., Greiner, M., 2006. An epidemiologic study of late-term abortions in dairy cattle in Denmark, July 2000-August 2003. Preventive Veterinary Medicine 77, 215-229.
63. Carr, D., Wallin, J., Carr, D., 2000. Two new templates for epidemiology applications: Linked micromap plots and conditioned choropleth maps. Statistics in Medicine 19, 2521-2538.
64. Carrat, F., Valleron, A.-J., 1992. Epidemiologic mapping using the "Kriging" method: application to an influenza-like illness epidemic in France. American Journal of Epidemiology 135, 1293-1300.
65. CDC, 1990. Guidelines for investigating clusters of health events. MMWR 39 (RR-11), 1-16.
66. Chalmers, A.F., 1999. What Is This Thing Called Science? Open University Press, Buckingham.
67. Chaput, E.K., Meek, J.I., Heimer, R., 2002. Spatial analysis of human granulocytic ehrlichiosis near Lyme, Connecticut. Emerging Infectious Diseases 8, 943-948.
68. Chetwynd, A.G., Diggle, P.J., 1998. On estimating the reduced second moment measure of a stationary spatial point process. Australian and New Zealand Journal of Statistics 40, 11-15.
69. Chrisman, N., 2003. Exploring Geographic Information Systems. John Wiley & Sons, New York.
70. Christensen, O., Ribeiro Jr, P., Diggle, P., 2002. geoRglm. R News 2, 26-28.
71. Clayton, D., Bernardinelli, L., 1992. Bayesian methods for mapping disease risk. In: Elliott, P., Cuzick, J., English, D., Stern, R. (Eds), Geographical and Environmental Epidemiology: Methods for Small-Area Studies, pp. 205-220. Oxford University Press, Oxford.
72. Clayton, D., Kaldor, J., 1987. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43, 671-681.
73. Clements, A.C., Pfeiffer, D.U., Otte, M.J., Morteo, K., Chen, L., 2002. A global livestock production and health atlas (GLiPHA) for interactive presentation, integration and analysis of livestock data. Preventive Veterinary Medicine 56, 19-32.
74. Clements, A., Lwambo, N., Blair, L., Nyandindi, U., Kaatano, G., Kinung'hi, S., Webster, J., Fenwick, A., Brooke, S., 2006a. Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Tropical Medicine and International Health 11, 490-503.
75. Clements, A., Moyeed, R., Brooker, S., 2006b. Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa. Parasitology, 133, 711-719.
76. Clements, A.C.A., Pfeiffer, D.U., Martin, V., 2006c. Application of knowledgedriven spatial modelling approaches and uncertainty management to a study of Rift Valley fever in Africa. International Journal of Health Geographics 5, 57.
77. Cliff, A., 1995a. Analysing geographically related disease data. Statistical Methods in Medical Research 4, 93-101.
78. Cliff, A.D. (Ed.), 1995b. Special Issue: Analysing geographically-related disease data. Statistical Methods in Medical Research 4, 93-184.
79. Cliff, A.D., Ord, J.K., 1973. Spatial Autocorrelation. Pion Limited, London.
80. Cliff, A.D., Ord, J.K., 1981. Spatial Processes: Models and Applications. Pion Limited, London.
81. Congdon, P., 2003. Applied Bayesian Modelling. John Wiley & Sons, Chichester.
82. Conlon, E., Louis, T., 1999. Addressing multiple goals in evaluating region-specific risk using Bayesian methods. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment for Public Health, pp. 31-47. John Wiley, London.
83. Cousens, S., Smith, P.G., Ward, H., Everington, D., Knight, R.S.G., Zeidler, M., Stewart, G., Smith-Bathgate, E.A.B., Macleod, M.-A., Mackenzie, J., Will, R.G., 2001. Geographical distribution of variant Creutzfeldt-Jakob disease in Great Britain, 1994-2000. Lancet 357, 1002-1007.
84. Craig, M.H., Snow, R.W., Le Sueur, D., 1999. A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitology Today 15, 105-111.
85. Cressie, N., 1992. Smoothing regional maps using empirical Bayes predictors. Geographical Analysis 24, 75-95.
86. Cressie, N.A.C., 1993. Statistics for Spatial Data. John Wiley & Sons, New York.
87. Cromley, E., McLafferty, S., 2002. GIS and Public Health. The Guilford Press, New York.
88. Cuzick, J., Edwards, R., 1990. Spatial clustering for inhomogeneous populations (with discussion). Journal of the Royal Statistical Society Series B 52, 73-104.
89. Dempster, A.P., 1966. New methods for reasoning towards posterior distributions based on sample data. Annals of Mathematical Statistics 37, 355-374.
90. Dempster, A.P., 1967. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics 38, 325-339.
91. Devine, O., Louis, T., Halloran, M., 1994a. Empirical Bayes estimators for spatially correlated incidence rates. Environmetrics 5, 381-398.
92. Devine, O., Louis, T., Halloran, M., 1994b. Empirical Bayes methods for stabilising incidence rates before mapping. Epidemiology 5, 622-630.
93. Diggle, P., 1990. A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. Journal of the Royal Statistical Society Series A 153, 349-362.
94. Diggle, P.J., 2000. Overview of statistical methods for disease mapping and its relationship to cluster detection. In: Elliott, P., Wakefield, J.C., Best, N.G., Briggs, D.J. (Eds.), Spatial Epidemiology - Methods and Applications, pp. 87-103. Oxford University Press, Oxford.
95. Diggle, P.J., 2003. Statistical Analysis of Spatial Point Patterns. Arnold Publishers, London.
96. Diggle, P., Chetwynd, A., 1991. Second order analysis of spatial clustering for inhomogeneous populations. Biometrics 47, 1155-1163.
97. Diggle, P., Elliott, P., 1995. Disease risk near point sources: Statistical issues in the analysis of disease risk near point sources using individually or spatially aggregated data. Journal of Epidemiology and Community Health 49, S20-S27.
98. Diggle, P., Ribeiro Jr, P., 2007. Model-based Geostatistics. Springer Science, New York.
99. Diggle, P., Rowlingson, B., 1994. A conditional approach to point process modelling of elevated risk. Journal of the Royal Statistical Society Series A (Statistics in Society) 157, 433-440.
100. Diggle, P.J., Tawn, J.A., 1998. Model-based geostatistics. Applied Statistics 47, 299-350.
101. Diggle, P.J., Chetwynd, A.G., Häggkvist, R., Morris, S.E., 1995. Second-order analysis of space-time clustering. Statistical Methods in Medical Research 4, 124-136.
102. Diggle, P., Morris, S., Morton-Jones, T., 1999. Case-control isotonic regression for investigation of elevation in risk around a point source. Statistics in Medicine 18, 1605-1613.
103. Diggle, P., Moyeed, R., Rowlingson, B., Thomson, M., 2002. Childhood malaria in the Gambia: A case study in model-based geostatistics. Journal of the Royal Statistical Society Series C (Applied Statistics) 51, 493-506.
104. Ding, Y., Fotheringham, A.S., 1992. The integration of spatial analysis and GIS. Computers in Environmental and Urban Systems 16, 3-19.
105. Doherr, M.G., Zurbriggen, A., Hett, A.R., Rufenacht, J., Heim, D., 2002. Geographical clustering of cases of bovine spongiform encephalopathy (BSE) born in Switzer-land after the feed ban. The Veterinary Record 151, 467-472.
106. Dolk, H., Elliott, P., Shaddick, G., Walls, P., Thakrar, B., 1997a. Cancer incidence near radio and television transmitters in Great Britain. II: All high power transmitters. American Journal of Epidemiology 145, 10-17.
107. Dolk, H., Shaddick, G., Walls, P., Grundy, C., Thakrar, B., Kleinschmidt, I., Elliott, P., 1997b. Cancer incidence near radio and television transmitters in Great Britain. I: Sutton Coldfield transmitter. American Journal of Epidemiology 145, 1-9.
108. Doll, S.R., 1989. The epidemiology of childhood leukaemia. Journal of the Royal Statistical Society Series A 152, 341-351.
109. Dorling, D., 1995. The visualization of local urban change across Britain. Environment and Planning B: Planning and Design 22, 269-290.
110. Drijver, M., Melse, J.M., 1992. Disease clusters and environmental contamination. I: a guide for public health services. T Soc Gezondheidsz 70, 565-570.
111. Duczmal, L., Assunção, R., 2004. A simulated annealing strategy for the detection of arbitrarily shaped spatial cluster. Computational Statistics and Data Analysis 45, 269-286.
112. Duczmal, L., Kulldorff, M., Huang, L., 2006. Evaluation of spatial scan statistics for irregularly shaped disease clusters. Journal of Computational and Graphical Statistics. 15, 428-442.
113. Durr, P.A., Froggatt, A.E., 2002. How best to geo-reference farms? A case study from Cornwall, England. Preventive Veterinary Medicine 56, 51-62.
114. Durr, P., Gatrell, A., 2004. GIS and Spatial Analysis in Veterinary Science. CABI Publishing, Wallingford.
115. Dwass, M., 1957. Modified randomization tests for nonparametric hypotheses. The Annals of Mathematical Statistics 28, 181-187.
116. Eastman, J.R., 2001. Guide to GIS and Image Processing. Clark Labs, Clark University, Worcester, MA.
117. Ederer, F., Myers, M.H., Mantel, N., 1964. A statistical problem in space and time: Do leukaemia cases come in clusters? Biometrics 20, 626-638.
118. Ekstrand, C., Carpenter, T.E., 1998. Spatial aspects of foot-pad dermatitis in Swedish broilers. Acta Veterinaria Scandinavica 38, 278-280.
119. Elliott, P., Wakefield, J.C., 2000. Bias and confounding in spatial epidemiology. In: Elliott, P., Wakefield, J.C., Best, N.G., Briggs, D.J. (Eds.), Spatial Epidemiology - Methods and Applications, pp. 68-84. Oxford University Press, Oxford.
120. Elliott, P., Wakefield, J., 2001. Disease clusters: Should they be investigated, and, if so, when and how? Journal of the Royal Statistical Society: Series A 164, 3-12.
121. Elliott, P., Wartenberg, D., 2004. Spatial epidemiology: current approaches and future challenges. Environmental Health Perspectives 112, 998-1006.
122. Elliott, P., Cuzick, J., English, D., Stern, R., 1992a. Geographical & Environmental Epidemiology - Methods for Small-Area Studies. Oxford University Press, Oxford.
123. Elliott, P., Hills, M., Beresford, J., Kleinschmidt, I., Jolley, D., Pattenden, S., Rodrigues, L., Westlake, A., Rose, G., 1992b. Incidence of cancers of the larynx and lung near incinerators of waste solvents and oils in Great Britain. The Lancet 339, 854-859.
124. Elliott, P., Martuzzi, M., Shaddick, G., 1995. Spatial statistical methods in environmental epidemiology: A critique. Statistical Methods in Medical Research 4, 137-159.
125. Elliott, P., Shaddick, G., Kleinschmidt, I., Jolley, D., Walls, P., Beresford, J., Grundy, C., 1996. Cancer incidence near municipal solid waste incinerators in Great Britain. British Journal of Cancer 73, 702-710.
126. Elliott, P., Wakefield, J.C., Best, N.G., Briggs, D.J., 2000. Spatial Epidemiology - Methods and Applications. Oxford University Press, Oxford.
127. Estrada-Peña, A., 1997. Epidemiological surveillance of tick populations: a model to predict the colonization success of Ixodes ricinus (Acari: Ixodidae). European Journal of Epidemiology 13, 573-580.
128. Eubank, S., Guclu, H., Kumar, V.S., Marathe, M.V., Srinivasan, A., Toroczkai, Z., Wang, N., 2004. Modelling disease outbreaks in realistic urban social networks. Nature 429, 180-184.
129. Falconi, F., Ochs, H., Deplazes, P., 2002. Serological cross-sectional survey of psoroptic sheep scab in Switzerland. Veterinary Parasitology 109, 119-127.
130. Fang, Z., Kulldorff, M., Gregorio, D.I., 2004. Brain cancer mortality in the United States, 1986 to 1995: a geographic analysis. Neuro-Oncology 6, 179-187.
131. Ferguson, N.M., Cummings, D.A.T., Fraser, C., Cajka, J.C., Cooley, P.C., Burke, D.S., 2006. Strategies for mitigating an influenza pandemic. Nature 443, 448-452.
132. Fevre, E.M., Coleman, P.G., Odiit, M., Magona, J.W., Welburn, S.C., Woolhouse, M.E.J., 2001. The origins of a new Trypanosoma brucei rhodesiense sleeping sickness outbreak in eastern Uganda. The Lancet 358, 625-628.
133. Fienberg, S.E., Shmueli, G., 2005. Statistical issues and challenges associated with rapid detection of bio-terrorist attacks. Statistics in Medicine 24, 513-529.
134. Fischer, G., van Velthuizen, H., Shah, M., Nachtergaele, F., 2002. Global Agro-Ecological Assessment for Agriculture in the 21st Century: Methodology and Results. Research Report RR-02-02. Laxenburg: International Institute for Applied Systems Analysis and Food and Agriculture Organisation of the United Nations.
135. Forand, S.P., Talbot, T.O., Druschel, C., Cross, P.K., 2002. Data quality and the spatial analysis of disease rates: Congenital malformations in New York State. Health and Place 8, 191-199.
136. Fortin, M.-J., Jacquez, G.M., 2000. Randomization tests and spatially autocorrelated data. Bulletin of the Ecological Society of America 81, 201-205.
137. Fosgate, G.T., Carpenter, T.E., Chomel, B.B., Case, J.T., DeBoss, E.E., Reilly, K.F., 2002. Time-space clustering of human brucellosis, California, 1973-1991. Emerging Infectious Diseases 8, 672-678.
138. Fotheringham, A.S., Zhan, F.B., 1996. A comparison of three exploratory methods for cluster detection in spatial point patterns. Geographical Analysis 28, 200-218.
139. French, N.P., Berriatua, E., Wall, R., Smith, K.L., Morgan, K.L., 1999. Sheep scab outbreaks in Great Britain between 1973 and 1992: Spatial and temporal patterns. Veterinary Parasitology 83, 187-200.
140. French, N.P., McCarthy, H.E., Diggle, P.J., Proudman, C.J., 2005. Clustering of equine grass sickness cases in the United Kingdom: A study considering the effect of position-dependent reporting on the space-time K-functio. Epidemiology and Infection 133, 343-348.
141. Gardner, M.J., 1989. Review of reported increases of childhood cancer rates in the vicinity of nuclear installations in the UK. Journal of the Royal Statistical Society Series A 152, 307-325.
142. Gardner, M.J., 1992. Childhood leukaemia around the Sellafield nuclear plant. In: Elliott, P., Cuzick, J., English, D., Stern, R. (Eds.), Geographical and Environmental Epidemiology: Methods for Small-Area Studies, pp. 209-309. Oxford University Press, Oxford.
143. Gatrell, A., Bailey, T., 1996. Interactive spatial data analysis in medical geography. Social Science and Medicine 42, 843-855.
144. Gatrell, A.C., Löytönen, M., 1998. GIS and Health. Taylor & Francis, London.
145. Gay, E., Senoussi, R., Barnouin, J., 2007. A spatial hazard model for cluster detection on continuous indicators of disease: Application to somatic cell score. Veterinary Research 38, 585-596.
146. Geary, R., 1954. The contiguity ratio and statistical mapping. The Incorporated Statistician 5, 115-145.
147. Gelman, A.B., Carlin, J.S., Stern, H.S., Rubin, D.B. 1995. Bayesian Data Analysis, p. 526. Chapman & Hall/CRC, Boca Raton, Florida.
148. George, M., Wiklund, L., Aastrup, M., Pousette, J., Thunholm, B., Saldeen, T., Wernroth, L., Zarén, B., Holmberg, L., 2001. Incidence and geographical distribution of sudden infant death syndrome in relation to content of nitrate in drinking water and ground water levels. European Journal of Clinical Investigation 31, 1083-1094.
149. Getis, A., Ord, J.K., 1992. The analysis of spatial association by use of distance statistics. Geographical Analysis 24, 189-206.
150. Getis, A., Ord, J.K., 1996. Local spatial statistics: An overview. In: Longley, P., Batty, M. (Eds.), Spatial Analysis: Modelling in a GIS Environment, pp. 261-277. Geoinformation International, Cambridge
151. Getis, A., Ord, J.K., 1998. The use of a local statistic to study the diffusion of AIDS from San Francisco. In: Griffith, D.A., Amrhein, C.G., Huriót, J.-M. (Eds.), Econometric Advances in Spatial Modelling and Methodology: Essays in Honour of Jean Paelinck, pp. 143-158. Kluwer, Dordrecht.
152. Ghosh, M., Natarajan, K., Stroud, T., Carlin, B., 1998. Generalized linear models for small-area estimation. Journal of the American Statistical Association 93, 273-282.
153. Gilbert, E.W., 1958. Pioneer maps of health and disease in England. Geographical Journal 124, 172-183.
154. Gilbert, M., Mitchell, A., Bourn, D., Mawdsley, J., Clifton-Hadley, R., Wint, W., 2005. Cattle movements and bovine tuberculosis in Great Britain. Nature 435, 491-496.
155. Goetz, S.J., Prince, S.D., Small, J., 2000. Advances in satellite remote sensing of environmental variables for epidemiological applications. Advances in Parasitology 47, 289-307.
156. Goldstein, H., 1995. Multilevel Statistical Models. Edward Arnold, London.
157. Goovaerts, P., 2006. Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging. International Journal of Health Geographics 5, 52.
158. Gotway, C., 2004. Statistical Methods for Spatial Data Analysis. Chapman & Hall/CRC Press, New York, USA.
159. Gotway, C.A., Wolfinger, R.D., 2003. Spatial prediction of counts and rates. Statistics in Medicine 22, 1415-1432.
160. Graham, S.L., Barling, K.S., Waghela, S., Scott, H.M., Thompson, J.A., 2005. Spatial distribution of antibodies to Salmonella enterica serovar Typhimurium O antigens in bulk milk from Texas dairy herds. Preventive Veterinary Medicine 69, 53-61.
161. Green, P.E., 1978. Analyzing Multivariate Data. The Dryden Press, Illinois..
162. Green, R.M., Hay, S.I., 2002. The potential of Pathfinder AVHRR data for providing surrogates of climatic variables across Africa and Europe for epidemiological applications. Remote Sensing of Environment 79, 165-175.
163. Green, C., Hoppa, R.D., Young, T.K., Blanchard, J.F., 2003. Geographic analysis of diabetes prevalence in an urban area. Social Science and Medicine 57, 551-560.
164. Gregorio, D.I., Samociuk, H., 2003. Breast cancer surveillance using gridded population units, Connecticut, 1992 to 1995. Annals of Epidemiology 13, 42-49.
165. Grimson, R., Wang, K., Johnson, P., 1981. Searching for hierarchical clusters of disease: Spatial patterns of sudden infant death syndrome. Society for Science in Medicine 15D, 287-293.
166. Gustafson, E.J., 1998. Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1, 143-156.
167. Haenni, R., Lehmann, N., 2003. Implementing belief function computations. International Journal of Intelligent Systems 18, 31-49.
168. Haining, R., 2003. Spatial Data Analysis - Theory and Practice. Cambridge University Press, Cambridge, UK.
169. Haining, R., Wise, S., Ma, J., 1998. Exploratory spatial data analysis in a geographic information systems environment. The Statistician 47, 457-469.
170. Hammond, R., McGrath, G., Martin, S., 2001. Irish soil and land-use classifications as predictors of numbers of badgers and badger setts. Preventive Veterinary Medicine 51, 137-148.
171. Hanchette, C., Schwartz, G., 1992. Geographic patterns of prostatecancer mortality. Evidence for a protective effect of ultraviolet-radiation. Cancer 70, 2861-2869.
172. Hanson, C.E., Wieczorek, W.F., 2002. Alcohol mortality: a comparison of spatial clustering methods. Social Science and Medicine 55, 791-802.
173. Haslett, J., Bradley, R., Craig, P., Unwin, A., Wills, G., 1991. Dynamic graphics for exploring spatial data with application to locating global and local anomalies. The American Statistician 45, 234-242.
174. Hastie, T., Tibshirani, R., 1990. Generalised Additive Models. Chapman and Hall, London.
175. Hay, S.I., 2000. An overview of remote sensing and geodesy for epidemiology and public health application. Advances in Parasitology 47, 1-35.
176. Hay, S.I., Lennon, J.J., 1999. Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate. Tropical Medicine and International Health 4, 58-71.
177. Hay, S.I., Graham, A., Rogers, D.J., 2006. Global Mapping of Infectious Diseases: Methods, Examples and Emerging Applications. Academic Press, Amsterdam.
178. Haybittle, J., Yuen, P., Machin, D., 1995. Multiple comparisons in disease mapping. Statistics in Medicine 14, 2503-2505.
179. Heffernan, R., Mostashari, F., Das, D., Karpati, A., Kulldorff, M., Weiss, D., 2004. Syndromic surveillance in public health practice, New York City. Emerging Infectious Diseases 10, 858-864.
180. Henderson, T.W., 1990. Toxic tort litigation: Medical and scientific principles in causation. American Journal of Epidemiology 132, S69-S78.
181. Hills, M., Alexander, F., 1989. Statistical methods used in assessing the risk of disease near a source of possible environmental pollution: A review. Journal of the Royal Statistical Society Series A 152, 353-363.
182. Hjalmars, U., Kulldorff, M., Gustafsson, G., Nagarawalla, N., 1996. Childhood leukaemia in Sweden: Using GIS and a spatial scan statistic for cluster detection. Statistics in Medicine 15, 707-715.
183. Hjalmars, U., Kulldorff, M., Wahlqvist, Y., Lannering, B., 1999. Increased incidence rates but no space-time clustering of childhood astrocytoma in Sweden, 1973-1992. Cancer 85, 2077-2090.
184. Hoar, B.R., Chomel, B.B., Rolfe, D.L., Chang, C.C., Fritz, C.L., Sacks, B.N., Carpenter, T.E., 2003. Spatial analysis of Yersinia pestis and Bartonella vinsonii subsp berkhoffii seroprevalence in California coyotes (Canis latrans). Preventive Veterinary Medicine 56, 299-311.
185. Huillard d'Aignaux, J., Cousens, S.N., Delasnerie-Lauprêtre, N., Brandel, J.-P., Salomon, D., Laplanche, J.-L., Hauw, J.-J., Alpérovitch, A., 2002. Analysis of the geographical distribution of sporadic Creutzfeldt-Jakob disease in France between 1992 and 1998. International Journal of Epidemiology 31, 490-495.
186. Hurvich, C.M., Tsai, C.L., 1989. Regression and time series model selection in small samples. Biometrika 76, 297-307.
187. Jacquez, G., 1994. Disease cluster statistics for imprecise space-time locations. Statistics in Medicine 15, 873-885.
188. Jacquez, G., 1996. A k nearest neighbour test for space-time interaction. Statistics in Medicine 15, 1935-1949.
189. Jacquez, G. 1998. GIS as an enabling technology. In: Gatrell, A., Löytönen, M. (Eds.), GIS and Health, pp. 17-28. Taylor & Francis, London.
190. Jacquez, G., 2004. Current practices in the spatial analysis of cancer: flies in the ointment. International Journal of Health Geographics 3, 22.
191. Jacquez, G.M., Greiling, D.A., 2003. Local clustering in breast, lung and colorectal cancer in Long Island, New York. International Journal of Health Geographics 2, 3.
192. Jacquez, G.M., Jacquez, J.A., 1999. Disease clustering for uncertain locations. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment in Public Health, pp. 151-168. John Wiley & Sons, Chichester.
193. Jacquez, G., Grimson, R., Kheifets, L., Waller, L., Wartenberg, D. (Eds.), 1992. Port Jefferson conference: Statistics and computing in disease clustering. Statistics in Medicine 12, 1751-1968.
194. Jacquez, G., Grimson, R., Kheifets, L., Waller, L., Wartenberg, D., 1996. University of British Columbia conference: Statistics and computing in disease clustering. Statistics in Medicine 15, 681-952.
195. Jarup, L., Best, N., Toledano, M., Wakefield, J., Elliott, P., 2002. Geographical epidemiology of prostate cancer in Great Britain. International Journal of Cancer 97, 695-699.
196. Jemal, A., Kulldorff, M., Devesa, S.S., Hayes, R.B., Fraumeni Jr., J.F., 2002. A geographic analysis of prostate cancer mortality in the United States, 1970-89. International Journal of Cancer 101, 168-174.
197. Jennings, J.M., Curriero, F.C., Celentano, D., Ellen, J.M., 2005. Geographic identification of high gonorrhea transmission areas in Baltimore, Maryland. American Journal of Epidemiology 161, 73-80.
198. Jerrett, M., Burnett, R., Kanaroglou, P., Eyles, J., Finkelstein, N.G.C., Brook, J., 2001. A GIS-environmental justice analysis of particulate air pollution in Hamilton, Canada. Environment and Planning A 33, 955-973.
199. Jiang, H., Eastman, J.R., 2000. Application of fuzzy measures in multi-criteria evaluation in GI. International Journal of Geographical Information Science 14, 173-184.
200. Jones, R.C., Liberatore, M., Fernandez, J.R., Gerber, S.I., 2006. Use of a prospective space-time scan statistic to prioritize shigellosis case investigations in an urban jurisdiction. Public Health Reports 121, 133-139.
201. Jung, I., Kulldorff, K., Klassen, A.C., 2006. A spatial scan statistic for ordinal data. Statistics in Medicine 26, 1594-1607.
202. Kaluzny, S., Vega, S., Cardoso, T., Shelly, A., 1996. S+ SPATIALSTATS User's Manual for Windows and Unix. MathSoft, Inc Seattle, Washington.
203. Kao, R.R., Danon, L., Green, D.M., Kiss, I.Z., 2006. Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain. Proceedings of the Royal Society Series B 273, 1999-2007.
204. Keeling, M.J., Eames, K.T., 2005. Networks and epidemic models. Journal of the Royal Society Interface 2, 295-307.
205. Keeling, M.J., Woolhouse, M.E.J., Shaw, D.J., Matthews, L., Chase-Topping, M., Haydon, D.T., Cornell, S.J., Kappey, J., Wilesmith, J., Grenfell, B.T., 2001. Dynamics of the 2001 UK foot and mouth epidemic: Stochastic dispersal in heterogeneous landscape. Science 294, 813-817.
206. Kelsall, J.E., Diggle, P.J., 1995a. Kernel estimation of relative risk. Bernoulli 1, 3-16.
207. Kelsall, J.E., Diggle, P.J., 1995b. Non-parametric estimation of spatial variation in relative risk. Statistics in Medicine 14, 2335-2342.
208. Kelsall, J.E., Diggle, P.J., 1998. Spatial variation in risk: a nonparametric binary regression approach. Applied Statistics 47, 559-573.
209. Kitron, U., Kazmierczak, J.J., 1997. Spatial analysis of the distribution of Lyme disease in Wisconson. American Journal of Epidemiology 145, 558-566.
210. Kitron, U., Michael, J., Swanson, J., Haramis, L., 1997. Spatial analysis of the distribution of Lacrosse Encephalitis in Illinois, using a geographic information system and local and global spatial statistics. American Journal of Tropical Medicine and Hygiene 57, 469-475.
211. Klassen, A.C., Kulldorff, M., Curriero, F., 2005. Geographical clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors. International Journal of Health Geographics 4, 1.
212. Kleinman, K.P., Abrams, A.M., Kulldorff, M., Platt, R., 2005. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection 113, 409-419.
213. Kleinschmidt, I., Sharp, B., Mueller, I., Vounatsou, P., 2002. Rise in malaria incidence rates in South Africa: A small-area spatial analysis of variation in time trends. American Journal of Epidemiology 155, 257-264.
214. Klovdahl, A.S., 2005. Social network research and human subjects protection:Towards more effective infectious disease control. Social Networks 27, 119-137.
215. Knox, E.G., 1989. Detection of clusters. In: Elliott, P. (Ed.) Methodologies of Enquiry into Disease Clustering. Small Area, Health Statistics Unit, pp. 17-22, London.
216. Knox, E.G., Bartlett, M.S., 1964. The detection of space-time interactions. Applied Statistics 13, 25-30.
217. Knuesel, R., Segner, H., Wahli, T., 2003. A survey of viral diseases in farmed and feral salmonids in Switzerland. Journal of Fish Diseases 26, 167-182.
218. Kreft, I., de Leeuw, J., 1998. Introducing Multilevel Modelling. Sage, London.
219. Krzanowski, W.J., Marriott, F.H.C., 1995. Multivariate Analysis Part 2. Classification, Covariance Structures and Repeated Measurements. Arnold, London.
220. Kulldorff, M., 1988. Statistical methods for spatial epidemiology: tests for randomness. In: Gatrell, A.C., Löytönen, M. (Eds.), GIS and Health, pp. 49-62. Taylor and Francis, London.
221. Kulldorff, M., 1997. A spatial scan statistic. Communications in Statistics:Theory and Methods 26, 1481-1496.
222. Kulldorff, M. 1999. Statistical evaluation of disease cluster alarms. In:Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment in Public Health, pp. 143-149. John Wiley & Sons, Chichester.
223. Kulldorff, M., 2001. Prospective time periodic geographical disease surveillance using a scan statistic. Journal of the Royal Statistical Society Series A 164, 61-72.
224. Kulldorff, M. 2003. SaTScan User Guide. National Cancer Institute, Bethesda, MD.
225. Kulldorff, M., Hjalmars, U., 1999. The Knox method and other tests for spacetime interaction. Biometrics 55, 544-552.
226. Kulldorff, M., Nagarwalla, N., 1995. Spatial disease clusters: Detection and inference. Statistics in Medicine 14, 799-819.
227. Kulldorff, M., Feuer, E.J., Miller, B.A., Freedman, L.S., 1997. Breast cancer clusters in the Northwest United States: A geographic analysis. American Journal of Epidemiology 146, 161-170.
228. Kulldorff, M., Athas, W.F., Feuer, E.J., Miller, B.A., Key, C.R., 1998a. Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos, New Mexico. American Journal of Public Health 88, 1377-1380.
229. Kulldorff, M., Rand, K., Gherman, G., Williams, G., DeFrancesco, D. 1998b. SaTScan: Software for the Spatial and Space-Time Scan Statistics. National Cancer Institute, Bethesda, MD.
230. Kulldorff, M., Tango, T., Park, P.J., 2003. Power comparisons for disease clustering tests. Computational Statistics and Data Analysis 42, 665-684.
231. Kulldorff, M., Heffernan, R., Hartman, J., Assuncao, R., Mostashari, F., 2005. A space-time permutation scan (p.128) statistic for disease outbreak detection. PLoS Medicine 2, e59.
232. Kulldorff, M., Song, C., Gregorio, D., Samociuk, H., DeChello, L., 2006a. Cancer map patterns: are they random or not? American Journal of Preventive Medicine 30, S37-49.
233. Kulldorff, M., Huang, L., Pickle, L., Duczmal, L., 2006b. An elliptical spatial scan statistic. Statistics in Medicine 25, 3929-3943.
234. Kyriakidis, P.C., 2004. A geostatistical framework for area-to-point spatial interpolation. Geographical Analysis 36, 259-289.
235. Landis, J.R., Koch, G.C., 1977. The measurement of observer agreement for categorical data. Biometrics 33, 159-174.
236. Lawson, A., 1989. Contribution to the 'cancer near nuclear installations ' meeting. Journal of the Royal Statistical Society Series A 152, 374-375.
237. Lawson, A., 1992. GLIM and normalising constant models in spatial and directional data analysis. Computational Statistics and Data Analysis 13, 331-348.
238. Lawson, A.B., 1993. On the analysis of mortality events associated with a prespecified fixed point. Journal of the Royal Statistical Society Series A 156, 363-377.
239. Lawson, A., 1994. On using spatial Gaussian priors to model heterogeneity in environmental epidemiology. Statistician 43, 69-76.
240. Lawson, A., 1995. MCMC methods for putative pollution source problems in environmental epidemiology. Statistics in Medicine 14, 2473-2485.
241. Lawson, A.B., 2001a. Statistical Methods in Spatial Epidemiology. John Wiley & Sons, Chichester.
242. Lawson, A.B., 2001b. Disease map reconstruction. Statistics in Medicine 20, 2183-2204.
243. Lawson, A.B., 2006a. Statistical Methods in Spatial Epidemiology, (2nd ed.). John Wiley & Sons, Chichester.
244. Lawson, A.B., 2006b. Disease cluster detection: A critique and a Bayesian proposal. Statistics in Medicine 25, 897-916.
245. Lawson, A., Clark, A., 1999. Markov chain Monte Carlo methods for putative sources of hazard and general clustering. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment for Public Health, pp. 119-142. John Wiley and Sons Ltd, London.
246. Lawson, A., Clark, A., 2002. Spatial mixture relative risk models applied to disease mapping. Statistics in Medicine 21, 359-370.
247. Lawson, A.B., Denison, D.G.T., 2002. Spatial Cluster Modelling. Chapman & Hall/CRC Press, Boca Raton.
248. Lawson, A.B., Kleinman, K., 2005a. Spatial and Syndromic Surveillance in Public Health. John Wiley & Sons, Chichester.
249. Lawson, A.B., Kleinman, K., 2005b. Introduction: Spatial and syndromic surveillance for public health. In: Lawson, A.B., Kleinman, K. (Eds.), Spatial and Syndromic Surveillance, pp. 1-10. John Wiley & Sons, Chichester.
250. Lawson, A.B., Kulldorff, M., 1999. A review of cluster detection methods. In:Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment in Public Health, pp. 143-149. John Wiley & Sons, Chichester.
251. Lawson, A.B., Williams, F.L.R., 1993. Applications of extraction mapping in environmental epidemiology. Statistics in Medicine 12, 1249-1258.
252. Lawson, A., Williams, F., 1994. Armadale: A case study in environmental epidemiology. Journal of the Royal Statistical Society Series A 157, 285-298.
253. Lawson, A.B., Williams, F.L.R., 2001. An Introductory Guide to Disease Mapping. John Wiley & Sons, Chichester.
254. Lawson, A.B., Waller, L.A., Biggeri, A., 1995. Special issue: Spatial disease patterns. Statistics in Medicine 14, 2289-2508.
255. Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R., 1999a. Disease Mapping and Risk Assessment in Public Health. John Wiley & Sons, Chichester.
256. Lawson, A.B., Biggeri, A., Dreassi, E., 1999b. Edge effects in disease mapping. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment in Public Health, pp. 83-96. John Wiley & Sons, Chichester.
257. Lawson, A.B., Browne, W.J., Vidal Rodeiro, C.L., 2003. Disease Mapping with WinBUGS and MLwi. John Wiley & Sons, Ltd
258. Chichester Le, N., Petkau, A., Rosychuk, R., 1996. Surveillance of clustering near point sources. Statistics in Medicine 15, 727-740.
259. Legendre, P., Legendre, L., 1998. Numerical Ecology. Elsevier, Amsterdam.
260. Leiss, W., Powell, D., 2004. Mad Cows and Mother's Milk. McGill-Queen's University Press, Montreal & Kingston.
261. Leyland, A.H., Davies, C.A., 2005. Empirical Bayes methods for disease mapping. Statistical Methods in Medical Research. 14, 17-34.
262. Leyland, A., Goldstein, H., 2001. Multilevel Modelling of Health Statistics. John Wiley & Sons, Ltd, Chichester.
263. Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W., 2001. Geographic Information Systems and Science., Chichester.
264. Luo, W.B., Caselton, B., 1997. Using Dempster-Shafer theory to represent climate change uncertainties. Journal of Environmental Management 49, 73-93.
265. Maheswaran, R., Strachan, D., Dodgeon, B., Best, N., 2002. A populationbased case-control study for examining (p.129) early life influences on geographical variation in adult mortality in England and Wales using stomach cancer and stroke as examples. International Journal of Epidemiology 31, 375-382.
266. Malczewski, J., 2000. On the use of weighted linear combination method in GIS: common and best practice approaches. Transactions in GIS 4, 5-22.
267. Mantel, N., 1967. The detection of disease clustering and a generalized regression approach. Cancer Research 27, 209-220.
268. Manton, K., Woodbury, M., Stallard, E., 1981. A variance components approach to categorical data models with heterogenous mortality rates in North Carolina counties. Biometrics 37, 259-269.
269. Marcelo, C., Renato, A., 2005. A fair comparison between the spatial scan and Besag-Newell disease clustering tests. Environmental and Ecological Statistics 12, 301-319.
270. Marshall, R.J., 1991a. A review of methods for the statistical analysis of spatial patterns of disease. Journal of the Royal Statistical Society Series A 154, 421-441.
271. Marshall, R., 1991b. Mapping disease and mortality rates using empirical Bayes estimators. Applied Statistics 40, 283-294.
272. McGarigal, K., 2002. Landscape pattern metrics. In: El-Shaarawi, A.H., Piegorsch, W.W. (Eds.), Encyclopedia of Environmetrics Vol. 2, pp. 1135-1142. John Wiley & Sons, Sussex.
273. McGarigal, K., Marks, B.J., 1995. Fragstats: Spatial Pattern Analysis Program for Quantifying Landscape Structure, p. 131. USDA Forest Service, Pacific Northwest Research Station, Portland.
274. McLeod, K.S., 2000. Our sense of Snow: the myth of John Snow in medical geography. Social Science and Medicine 50, 923-935.
275. McPherson, J.M., Jetz, W., Rogers, D.J., 2004. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? Journal of Applied Ecology 41, 811-823.
276. Meyers, R., Aramini, J., Lim, G., Stratton, J., Pollari, F., Sockett, P., Majowicz, S., 2002. Using Geographic Information Systems to identify the source of a waterborne gastrointestinal outbreak in Walkerton, Ontario, Canada, May-June, 2000. In: Rigby, J., Skelly, C., Wigham, P. (Eds.), GeoHealth 2002 Proceedings of the Spatial Information Research Centre's 14th Colloquium pp. 71-74. Victoria University, Wellington, New Zealand.
277. Michelozzi, P., Capon, A., Kirchmayer, U., Forastiere, F., Biggeri, A., Barca, A., Perlucci, C.A., 2002. Adult and childhood leukemia near a high-power radio station in Rome, Italy. American Journal of Epidemiology 155, 1096-1103.
278. Miller, M.A., Gardner, I.A., Kreuder, C., Paradies, D.M., Worcester, K.R., Jessup, D.A., Dodd, E., Harris, M.D., Ames, J.A., Packham, A.E., Conrad, P.A., 2002. Coastal freshwater runoff is a risk factor for Toxoplasma gondii infection of southern sea otters (Enhydra lutris nereis). International Journal for Parasitology 32, 997-1006.
279. Miller, M.A., Grigg, M.E., Kreuder, C., James, E.R., Melli, A.C., Crosbie, P.R., Jessup, D.A., Boothroyd, J.C., Brownstein, D., Conrad, P.A., 2004a. An unusual genotype of Toxoplasma gondii is common in California sea otters (Enhydra lutris nereis) and is a cause of mortality. International Journal for Parasitology 34, 275-284.
280. Miller, B., Kassenborg, H., Dunsmuir, W., Griffith, J., Hadidi, M., Nordin, J.D., Danila, R., 2004b. Syndromic surveillance for influenzalike illness in ambulatory care network. Emerging Infectious Diseases 10, 1806-1811.
281. Mollié, A., 1996. Bayesian mapping of disease. In: Gilks, S., Richardson, S. (Eds.), Markov Chain Monte Carlo in Practice, pp. 359-379. Chapman and Hall, London.
282. Monmonier, M., De Blij, H., 1996. How to Lie with Maps. University of Chicago Press, Chicago.
283. Moore, D., 1999. Spatial diffusion of raccoon rabies in Pennsylvania, USA. Preventive Veterinary Medicine 40, 19-32.
284. Moran, P.A.P., 1948. The interpretation of statistical maps. Journal of the Royal Statistical Society Series B 10, 243-251.
285. Moran, P.A.P., 1950. Notes on continuous stochastic phenomena. Biometrika 37, 17-23.
286. Morris, S.E., Wakefield, J.C., 2000. Assessment of disease risk in relation to a pre-specified source. In: Elliott, P., Wakefield, J.C., Best, N.G., Brigs, D.J. (Eds.), Spatial Epidemiology, pp. 153-184. Oxford University Press, Oxford.
287. Morris, R.S., Wilesmith, J.W., Stern, M.W., Sanson, R.L., Stevenson, M.A., 2001. Predictive spatial modelling of alternative control strategies for the foot-and-mouth disease epidemic in Great Britain, 2001. The Veterinary Record 149, 137-144.
288. Morton-Jones, T., Diggle, P., Elliott, P., 1999. Investigation of excess environmental risk around putative sources: Stone's test with covariate adjustment. Statistics in Medicine 18, 189-197.
289. Muirhead, C., Darby, S., 1989. Royal Statistical Society meeting: Cancer near nuclear installations. Journal of the Royal Statistical Society Series A 152, 305-384.
290. Müller, I., Betuela, I., Hide, R., 2002. Regional patterns of birthweights in Papua New Guinea in relation to diet, environment and socio-economic facto. Annals of Human Biology 29, 74-78.
291. Neill, D.B., Moore, A.W., Cooper, G.F., 2006. A Bayesian scan statistic for spatial cluster detection. Advances in Disease Surveillance 1, 55.
292. Neutra, R.R., 1999. Computer geographic analysis: A commentary of its use and misuse in public health. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment for Public Health, pp. 311-319. John Wiley & Sons, Chichester.
293. Nødtvedt, A., Guitian, J., Egenvall, A., Emanuelson, U., Pfeiffer, D.U., 2007. The spatial distribution of atopic dermatitis cases in a population of insured Swedish dogs. Preventive Veterinary Medicine 78, 210-222.
294. Norström, M., Pfeiffer, D.U., Jarp, J., 2000. A space-time cluster investigation of an outbreak of acute respiratory disease in Norwegian cattle herds. Preventive Veterinary Medicine 47, 107-119.
295. O'Brien, D.J., Kaneene, J.B., Getis, A., Lloyd, J.W., Swanson, G.M., Leader, R.W., 2000. Spatial and temporal comparison of selected cancers in dogs and humans, Michigan, USA, 1964-1994. Preventive Veterinary Medicine 47, 187-204.
296. Oakes, M., 1986. Statistical Inference. John Wiley and Sons, Chichester.
297. Oden, N., 1995. Adjusting Moran's I for population density. Statistics in Medicine 14, 17-26.
298. Olea-Popelka, F.J., Griffin, J.M., Collins, J.D., McGrath, G., Martin, S.W., 2003. Bovine tuberculosis in badgers in four areas in Ireland: Does tuberculosis cluster? Preventive Veterinary Medicine 59, 103-111.
299. Olea-Popelka, F.J., Flynn, O., Costello, E., McGrath, G., Collins, J.D., O'Keeffe, J., Kelton, D.F., Berke, O., Martin, S.W., 2005. Spatial relationship between Mycobacterium bovis strains in cattle and badgers in four areas in Ireland. Preventive Veterinary Medicine 71, 57-70.
300. Oliver, M.N., Smith, E., Siadaty, M., Hauck, F.R., Pickle, L.W., 2006. Spatial analysis of prostate cancer incidence and race in Virginia, 1990-1999. American Journal of Preventive Medicine 30, S67-76.
301. Openshaw, S., 1984. The Modifiable Areal Unit Problem (Concepts and Techniques in Modern Geography, No. 38). Geo Books, Norwich.
302. Openshaw, S., Charlton, M., Wymer, C., Craft, A., 1987. A mark I geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Systems 1, 335-358.
303. Openshaw, S., Craft, A., Charlton, M., Birch, J.M., 1988. Investigation of leukemia clusters by use of a geographical analysis machine. Lancet 1, 272-273.
304. Openshaw, S., Cross, A., Charlton, M., 1990. Building a prototype geographical correlates exploration machine. International Journal of Geographical Information Systems 4, 297-312.
305. Ord, J.K., Getis, A., 1993. Distributional issues concerning distance statistics. Working paper presented at the Annual Meeting of the North American Regional Science Association International, Houston, Texas.
306. Osei-Bryson, K.-M., 2003. Supporting knowledge elicitation and consensus building for Dempster-Shafer decision models. International Journal of Intelligent Systems 18, 129-148.
307. Ozdenerol, E., Williams, B.L., Kang, S.Y., Magsumbol, M.S., 2005. Comparison of spatial scan statistic and spatial filtering in estimating low birth weight clusters. International Journal of Health Geographics 4, 19.
308. Patil, G.P., Taillie, C., 2004. Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environmental and Ecological Statistics 11, 183-197.
309. Perez, A.M., Ward, M.P., Torres, P., Ritacco, V., 2002. Use of spatial statistics and monitoring data to identify clustering of bovine tuberculosis in Argentina. Preventive Veterinary Medicine 56, 63-74.
310. Perneger, T.V., 1998. What's wrong with Bonferroni adjustments. British Medical Journal 316, 1236-1238.
311. Perry, B., Kruska, R., Lessard, P., Norval, R., Kundert, K., 1991. Estimating the distribution and abundance of Rhipicephalus appendiculatus in Africa. Preventive Veterinary Medicine 11, 261-268.
312. Pfeiffer, D.U., 2000. Spatial analysis - a new challenge for veterinary epidemiologist. In: Thrusfield, M.V., Goodall, E.A. (Eds.), Proceedings of the Annual Meeting of the Society for Veterinary Epidemiology and Preventive Medicine, Edinburgh 29-31 March 2000 pp. 86-106. Society for Veterinary Epidemiology and Preventive Medicine, Edinburgh.
313. Pfeiffer, D.U., 2004. Geographical information science and spatial analysis in animal health. In: Durr, P., Gatrell, A. (Eds.), GIS and Spatial Analysis in Veterinary Science, pp. 119-144. CABI Publishing, Wallingford.
314. Pfeiffer, D.U., Hugh-Jones, M., 2002. Geographical information systems as a tool in epidemiological assessment and wildlife disease management. Revue Scientifique et Technique de l'Office International des Epizooties 21, 91-102.
315. Pfeiffer, D.U., Morris, R.S., 1994. Spatial analysis techniques in veterinary epidemiol. Rowlands, G.J., Kyule, M.N., and Perry, B.D. Special Issue:Proceedings of the 7th International Symposium on Veterinary Epidemiology and Economics, Nairobi, 15-19 August, 1994. The Kenya Veterinarian 18, 483-485.
316. Pfeiffer, D.U., Duchateau, L., Kruska, R.L., Ushewokunze-Obatolu, U., Perry, B.D., 1997. A spatially predictive logistic regression model for occurrence of theileriosis outbreaks in Zimba. Epidemiologie et Santé Animale 31-32, 12.12.1-3.
317. Piantadosi, S., Byar, D., Green, S., 1988. The ecological fallacy. American Journal of Epidemiology 127, 893-904.
318. Picardo, A., Guitian, F.J., Pfeiffer, D.U. 2007. Space-time interaction as an indicator of local spread during the 2001 FMD outbreak in the UK. Preventive Veterinary Medicine 79, 3-19.
319. Pickle, L., Mungiole, M., Jones, G., White, A., 1996. Atlas of United States Mortality. National Center for Health Statistics, Hyattsville.
320. Plummer, M., Clayton, D., 1996. Estimation of population exposure in ecological studies. Journal of the Royal Statistical Society Series B 58, 113-126.
321. Porphyre, T., McKenzie, J., Stevenson, M. 2007. A descriptive spatial analysis of bovine tuberculosis in intensively controlled cattle farms in New Zealand. Veterinary Research 38, 465-479.
322. Price, J.C., 1984. Land surface temperature measurement for the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer. Journal of Geophysical Research 8, 7231-7237.
323. Pugliatti, M., Solinas, G., Sotgiu, S., Castiglia, P., Rosati, G., 2002. Multiple sclerosis distribution in Northern Sardinia - spatial cluster analysis of prevalence. Neurology 58, 277-282.
324. R Development Core Team, 2006. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
325. Raso, G., Matthys, B., N'Goran, E., Tanner, M., Vounatsou, P., Utzinger, J., 2005. Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Cote d'Ivoire. Parasitology 131, 97-108.
326. Raso, G., Vounatsou, P., Singe, B., N'Goran, E., Tanner, M., Utzinger, J., 2006a. An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni - hookworm coinfection. Proceedings of the National Academy of Sciences of the United States of America 103, 6934-6939.
327. Raso, G., Vounatsou, P., Gosoniu, L., Tanner, M., N'Goran, E., Utzinger, J., 2006b. Risk factors and spatial patterns of hookworm infection among schoolchildren in a rural area of western Côte d'Ivoire. International Journal for Parasitology 36, 201-210.
328. Recuenco, S., Eidson, M., Kulldorff, M., Johnson, G., Cherry, B., 2007. Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates. International Journal of Health Geographics 6, 14.
329. Rezaeian, M., Dunn, G., St Leger, S., Appleby, L., 2004. The production and interpretation of disease maps: A methodological case-study. The International Journal for Research in Social and Genetic Epidemiology and Mental Health Services 39, 947-954.
330. Ribeiro Jr, P., Diggle, P., 2001. geoR: a package for geostatistical analysis. R News 1/2, 15-18.
331. Richardson, S., Monfort, C., 2000. Ecological correlation studies. In: Elliott, P., Wakefield, J., Best, N., Briggs, D. (Eds.), Spatial Epidemiology Methods and Applications, pp. 205-220. Oxford University Press, Oxford.
332. Ripley, B.D., 1976. The second-order analysis of stationary point processes. Journal of Applied Probability 13, 255-266.
333. Ripley, B.D., 1977. Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society Series B 39, 172-212.
334. Ripley, B., 1981. Spatial Statistics. John Wiley and Sons Ltd, Chichester.
335. Ripley, B., 1988. Statistical Inference for Spatial Processes. Cambridge University Press, Cambridge.
336. Robinson, T.P., 2000. Spatial analysis and geographic information systems in epidemiology and public health. Advances in Parasitology 47, 81-128.
337. Robinson, T.P., Harris, R.S., Hopkins, J.S., Williams, B.G., 2002. Decision support for trypanosomiasis control: an example using a geographical information system in eastern Zambia. International Journal of Geographical Information Science 16, 345-360.
338. Robinson, T.P., Franceschini, G., Wint, G.R.W. 2007. FAO's Gridded Livestock of the World. Veterinaria Italiana 43.
339. Roche, L.M., Skinner, R., Weinstein, R.B., 2002. Use of a geographic information system to identify and characterize areas with high proportions of distant stage breast cancer. Journal of Public Health Management Practice 8, 26-32.
340. Rogers, D.J., 2006. Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1-35.
341. Rogers, D.J., Hay, S.I., Packer, M.J., 1996. Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Annals of Tropical Medicine and Parasitology 90, 225-241.
342. Rogerson, P.A., 1997. Surveillance systems for monitoring the development of spatial patterns. Statistics in Medicine 16, 2081-2093.
343. Rogerson, P.A., 2006. Statistical methods for the detection of spatial clustering in case-control data. Statistics in Medicine 25, 811-823.
344. Rothenberg, R.B., Thacker, S.B., 1992. Guidelines for the investigation of clusters of adverse health events. In: Elliott, P., Cuzick, J., English, D., Stern, R. (Eds.), Geographical and Environmental Epidemiology: Methods for Small-Area Studies, pp. 264-277. Oxford University Press, Oxford.
345. Rothenberg, R.B., Steinberg, K.K., Thacker, S.B. (Eds.), 1990. National conference on clustering of health events. American Journal of Epidemiology 132, S1-S202.
346. Rothman, K.J., 1990. A sobering start for the cluster busters' conference. American Journal of Epidemiology 132, S6-S13.
347. Rowlingson, B., Diggle, P., (1993) Splancs: spatial point pattern analysis code in S-Plus. Computers and Geosciences 19, 627-655.
348. Saaty, 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.
349. Sabel, C., Gatrell, A., Löytönen, M., Maasiltad, P., Jokelainen, M., 2000. Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland. Social Science and Medicine 50, 1121-1137.
350. Sadiq, R., Rodriguez, M.J., 2005. Interpreting drinking water quality in the distribution system using Dempster-Shafer theory of evidence. Chemosphere 59, 177-188.
351. Sankoh, O.A., Yé, Y., Sauerborn, R., Müller, O., Becher, H., 2001. Clusters of childhood mortality in rural Burkina Faso. International Journal of Epidemiology 30, 485-492.
352. Sanson, R.L., Pfeiffer, D.U., Morris, R.S., 1991. Geographic information systems: Their application in animal disease control. Revue Scientifique et Technique de l'Office International des Epizooties 10, 179-195.
353. Sauders, B.D., Fortes, E.D., Morse, D.L., Dumas, N., Kiehlbauch, J.A., Schukken, Y., Hibbs, J.R., Wiedmann, M., 2003. Molecular subtyping to detect human listerio-sis clusters. Emerging Infectious Diseases 9, 672-680.
354. Savill, N.J., Shaw, D.J., Deardon, R., Tildesley, M.J., Keeling, M.J., Woolhouse, M.E., Brooks, S.P., Grenfell, B.T., 2006. Topographic determinants of foot and mouth disease transmission in the UK 2001 epidemic. BMC Veterinary Research 2, 3.
355. Schabenberger, O., Gotway, C.A., 2005. Statistical Methods for Spatial Data Analysis. Chapman & Hall/CRC Press, Boca Raton.
356. Schlattmann, P., 1996a. The computer package DismapWin. Statistics in Medicine 15, 931.
357. Schlattmann, P., 1996b. Covariate adjusted mixture models and disease mapping with the program DismapWin. Statistics in Medicine 15, 919-929.
358. Schlesselman, J., 1982. Case-Control Studies: Design, Conduct, Analysis. Oxford University Press, New York.
359. Schober, E., Rami, B., Waldhor, T., Karimian-Teherani, D., 2001. Regional distribution of childhood onset diabetes mellitus in Austria - analysis of national registration from 1989 to 1999. Wiener Klinische Wochenschrift 113, 491-495.
360. Schulman, J., Selvin, S., Merrill, D., 1988. Density equalized map projections:A method for analysing clustering around a fixed point. Statistics in Medicine 7, 491-505.
361. Schwermer, H., Forster, K., Brülisauer, F., Chaubert, C., Heim, D., 2007. BSE, feed and cattle in Switzerland: Is there a spatial relation? Veterinary Research 38, 409-418.
362. Scott, D.W., 1992. Multivariate Density Estimation: Theory, Practice and Visualisation. John Wiley & Sons, New York.
363. Selvin, S., Merrill, D.W., Erdmann, C., White, M., Ragland, K., 1998. Breast cancer detection: Maps of 2 San Francisco bay area counties. American Journal of Public Health 88 1186-1192.
364. Sheehan, T.J., De Chello, 2005. A space-time analysis of the proportion of late stage breast cancer in Massachusetts, 1988 to 1997. International Journal of Health Geographics 4, 15.
365. Sheehan, T.J., Gershman, S.T., MacDougall, L.A., Danley, R.A., Mroszczyk, M., Sorenson, A.M., Kulldorff, M., 2000. Geographic assessment of breast cancer screen-ing by towns, zip codes, and census tracts. Journal of Public Health Management Practice 6, 48-57.
366. Sheridan, H.A., McGrath, G., White, P., Fallon, R., Shoukri, M.M., Martin, S.W., 2005. A temporal-spatial analysis of bovine spongiform encephalopathy in Irish cattle herds, from 1996 to 2000. The Canadian Journal of Veterinary Research 69, 19-25.
367. Smith, S.J. (Ed.), 1996. Centres for Disease Control (CDC) Symposium. Small area statistics in public health: Design, analysis, geographic and spatial methods. Statistics in Medicine 15, 1827-1986.
368. Smith, K.L., DeVos, V., Bryden, H., Price, L.B., Hugh-Jones, M.E., Keim, P., 2000. Bacillus anthracis diversity in Kruger National Park. Journal of Clinical Microbiology 38, 3780-3784.
369. Snijders, T., Bosker, R., 1999. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modelling. Sage, London.
370. Snow, J., 1855. On the Mode of Communication of Cholera. John Churchill, London.
371. Snow, R.W., Gouws, E., Omumbo, J., Rapuoda, B., Craig, M.H., Tanser, F.C., Sueur, D.L., Ouma, J., 1998. Models to predict the intensity of Plasmodium falcipa-rum transmission: applications to the burden of disease in Kenya. Transactions 92, 601-606.
372. Snow, R.W., Craig, M.H., Deichmann, U., Sueur, D.L., 1999. A preliminary continental risk map for malaria mortality among African children. Parasitology Today 15, 99-104.
373. Snyder, J.P., 1987. Map Projections: A Working Manual. United States Government Printing Office, Washington DC.
374. Song, C., Kulldorff, M., 2003. Power evaluation of disease clustering tests. International Journal of Health Geographics 2, 9.
375. Song, C., Kulldorff, M., 2005. Tango's maximized excess events test with different weights. International Journal of Health Geographics 4, 32.
376. Spiegelhalter, D., Abrams, K., Myles, J., 2002. Bayesian Approaches to Clinical Trials and Health-Care Evaluation. John Wiley and Sons, Chichester.
377. Spiegelhalter, D., Thomas, A., Best, N., Lunn, D., 2003. WinBUGS User Manual-Version 1.4. MRC Biostatistics Unit, Cambridge.
378. Spratt, B.G., 1999. Independent Review of the Possible Health Hazards of the Large-scale Release of Bacteria during the Dorset Defence Trials, p. 38. Ministry of Defence, London.
379. Stein, C.E., 2001. The cluster that never was: Germ warfare experiments and health authority reality in Dorset. Journal of the Royal Statistical Society Series A 164, 23-27.
380. Stevenson, M.A., Wilesmith, J.W., Ryan, J.B., Morris, R.S., Lawson, A.B., Pfeiffer, D.U., Lin, D., 2000. Descriptive spatial analysis of the epidemic of bovine spongi-form encephalopathy in Great Britain to June 1997. Veterinary Record 147, 379-384.
381. Stevenson, M., Morris, R., Lawson, A., Wilesmith, J., Ryan, J., Jackson, R., 2005. Area-level risks for BSE in British cattle before and after the July 1988 meat and bone meal feed ban. Preventive Veterinary Medicine 69, 129-144.
382. Stolley, P.D., Lasky, T., 1995. Investigating Disease Patterns - The Science of Epidemiology. Scientific American Library, New York.
383. Stone, R.A., 1988. Investigations of excess environmental risks around putative sources: Statistical problems and a proposed test. Statistics in Medicine 7, 679-660.
384. Stoyan, D., Kendall, W.S., Mecke, J. 1995. Stochastic Geometry and Its Applications. John Wiley & Sons, Chichester.
385. Swain, P.H., 1978. Remote sensing: the quantitative approach. In Remote Sensing: The Quantitative Approach, P.H. Swain and S.M. Davis, (Eds.), pp. 136-187 & 221-223. McGraw-Hill, London.
386. Swayne, D., Cook, D., Buja, A., 1998. XGobi: Interactive Dynamic Data Visualization in the X Window System. Journal of Computational and Graphical Statistics 7, 113-130.
387. Symanzik, J., Kötter, T., Schmelzer, S., Klinke, S., Cook, D., Swayne, D., 1998. Spatial Data Analysis in the Dynamically Linked ArcView/XGobi/XploRe Environment. Computing Science and Statistics 29, 561-569.
388. Talbot, T.O., Kulldorff, M., Forand, S.P., Haley, V.B., 2000. Evaluation of spatial filters to create smoothed maps of health data. Statistics in Medicine 19, 2399-2408.
389. Tango, T., 1995. A class of tests for detecting 'general' and 'focused' clustering of rare diseases. Statistics in Medicine 14, 2323-2334.
390. Tango, T., 2000. A test for spatial disease clustering adjusted for multiple testing. Statistics in Medicine 19, 191-204.
391. Tango, T., Takahashi, K., 2005. A flexibly shaped spatial scan statistic for detecting clusters. International Journal of Health Geographics 4, 11.
392. Tatsuoka, M.M., 1971. Multivariate Analysis: Techniques for Educational and Psychological Research. John Wiley & Sons, New York.
393. Thomas, D.C., 1985. The problem of multiple inference in identifying pointsource environmental hazards. Environmental Health Perspectives 62, 407-414.
394. Thulke, H., Tischendorf, L., Staubach, C., Selhorst, T., Jeltsch, F., Muller, T., Schluter, H., Wissel, C., 2000. The spatio-temporal dynamics of a postvaccination resurgence of rabies in foxes and emergency vaccination planning. Preventive Veterinary Medicine 47, 1-21.
395. Tinline, R., Rosatte, R., MacInnes, C., 2002. Estimating the incubation period of racoon rabies: A time-space clustering approach. Preventive Veterinary Medicine 56, 89-103.
396. Toledano, M., Jarup, L., Best, N., Wakefield, J., Elliott, P., 2001. Spatial variation and temporal trends of testicular cancer in Great Britain. British Journal of Cancer 84, 1482-1487.
397. Tsutakawa, R., 1988. A mixed model for analyzing geographic variability in mortality rates. Journal of the American Statistical Association 83, 37-42.
398. Tucker, C.J., Sellers, P.J. 1986. Satellite remote sensing of primary production. International Journal of Remote Sensing 7, 1395-1416.
399. Turnbull, B.W., Iwano, E.J., Burnett, W.S., Howe, H.L., Clark, L.C., 1990. Monitoring for clusters of disease: Applications to leuke mia incidence in upstate New York. American Journal of Epidemiology 132, S136-S143.
400. Upton, G.J.G., Fingleton, B., 1985. Spatial Data Analysis by Example. Vol. 1. Point Pattern and Quantitative Data. John Wiley & Sons, New York.
401. Upton, G.J.G., Fingleton, B., 1989. Spatial Data Analysis by Example. Vol. 2. Categorical and Directional Data. John Wiley & Sons, New York.
402. Urquhart, J., 1992. Studies of disease clustering: Problems of interpretation. In: Elliott, P., Cuzick, J., English, D., Stern, R. (Eds.), Geographical and Environmental Epidemiology: Methods for Small-Area Studies, pp. 278-285. Oxford University Press, Oxford.
403. Valencia, L.I., Fortes, B.P., Medronho, R.A., 2005. Spatial ascariasis risk estimation using socioeconomic variables. International Journal of Environmental Health Research 15, 411-424.
404. Viel, J., Pobel, D., Carré, A., 1995. Incidence of leukaemia in young people around the La Hague nuclear waste reprocessing plant: A sensitivity analysis. Statistics in Medicine 14, 2459-2472.
405. Viel, J.-F., Arveux, P., Baverel, J., Cahn, J.-Y., 2000. Soft-tissue sarcoma and non-Hodgkin's lymphoma clusters around a municipal solid waste incinerator with high (p.134) dioxin emission levels. American Journal of Epidemiology 152, 13-19.
406. Vinten-Johansen, P., Brody, H., Paneth, N., Rachman, S., Rip, M., 2003. Cholera, Chloroform, and the Science of Medicine. Oxford University Press, Oxford.
407. Vlachonikolis, I., Aletra, T., Georgoulias, V., 2002. Incidence of breast cancer on Crete, 1994-1995. European Journal of Cancer 38, 574-577.
408. Wakefield, J.C., Kelsall, J.E., Morris, S.E., 2000. Clustering, cluster detection and spatial variation in risk. In: Elliott, P., Wakefield, J.C., Best, N.G., Briggs, D.J. (Eds.), Spatial Epidemiology - Methods and Applications. pp. 128-152. Oxford University Press, Oxford.
409. Wakefield, J., Quinn, M., Raab, G. (Eds.), 2001. Royal Statistical Society Meeting: Analysis and interpetation of disease clusters and ecological studies. Journal of the Royal Statistical Society Series A 164, 1-303.
410. Waller, L. (1996) Statistical power and design of focused clustering studies. Statistics in Medicine 15, 765-782.
411. Waller, L.A., Gotway, C.A., 2004. Applied Spatial Statistics for Public Health Data. John Wiley & Sons, New Jersey.
412. Waller, L., Lawson, A., 1995. The power of focused tests to detect disease clustering. Statistics in Medicine 14, 2291-2308.
413. Waller, L.A., Turnbull, B.W., 1993. The effects of scale on tests for disease clustering. Statistics in Medicine 12, 1869-1884.
414. Waller, L.A., Turnbull, B.W., Clark, L.C., Nasca, P., 1992. Chronic disease surveillance and testing of clustering of disease and exposure: Application to leukemia incidence and TCE-contaminated dumpsites in upstate New Yor. Environmetrics 3, 281-300.
415. Waller, L., Carlin, B., Xia, H., Gelfand, A., 1997. Hierarchical spatiotemporal mapping of disease rates. Journal of the American Statistical Association 92, 607-617.
416. Walsh, S.J., DeChello, L.M., 2001. Geographical variation in mortality from systemic lupus erythematosus in the United States. Lupus 10, 637-646.
417. Walsh, S.J., Fenster, J.R., 1997. Geographical clustering of mortality from systemic sclerosis in the Southeastern United States, 1981-90. The Journal of Rheumatology 24, 2348-2352.
418. Walter, S.D., 1992. The analysis of regional patterns in health data.2. The power to detect environmental effects. American Journal of Epidemiology 136, 742-759.
419. Walter, S.D., 1993. Assessing spatial patterns in disease rates. Statistics in Medicine 12, 1885-1894.
420. Walter, S., Martin Taylor, S., Marrett, L., 1999. An analysis of determinants of regional variation in cancer incidence: Ontario, Canada. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F., Bertollini, R. (Eds.), Disease Mapping and Risk Assessment for Public Health, pp. 365-381. John Wiley and Sons Ltd, Chichester.
421. Wand, M.P., Jones, M.C., 1995. Kernel Smoothing. Chapman & Hall/CRC Press, Boca Raton, Florida.
422. Ward, M.P., 2001. Blowfly strike in sheep flocks as an example of the use of a time-space scan statistic to control confounding. Preventive Veterinary Medicine 49, 61-69.
423. Ward, M.P., 2002. Clustering of reported cases of leptospirosis among dogs in the United States and Canada. Preventive Veterinary Medicine 56, 215-226.
424. Ward, M.P., Carpenter, T.E., 1995. Infection of cattle in Queensland with bluetongue viruses. II. Distribution of antibodies. Australian Veterinary Journal 74, 128-131.
425. Ward, M.P., Carpenter, T.E., 2000. Analysis of time-space clustering in veterinary epidemiology. Preventive Veterinary Medicine 43, 225-237.
426. Wartenberg, D., 2001. Investigating disease clusters: Why, when and how? Journal of the Royal Statistical Society Series A 164, 13-22.
427. Wartenberg, D., Greenberg, M., 1990. Detecting disease clusters: The importance of statistical power. American Journal of Epidemiology 132, S156-S166.
428. Wartenberg, D., Greenberg, M., 1993. Solving the cluster puzzle: Clues to follow and pitfalls to avoid. Statistics in Medicine 12, 1763-1770.
429. Webb, C.R., 2005. Farm animal networks: unravelling the contact structure of the British sheep population. Preventive Veterinary Medicine 68, 3-17.
430. Webster, R., Oliver, M.A., Muir, K.R., Mann, J.R., 1994. Kriging the local risk of a rare disease from a register of diagnoses. Geographical Analysis 26, 168-185.
431. Wilesmith, J., Stevenson, M., King, C., Morris, R., 2003. Spatio-temporal epidemiology of foot-and-mouth disease in two counties of Great Britain in 2001. Preventive Veterinary Medicine 61, 157-170.
432. Williams, E.H., Smith, P.G., Day, N.E., Geser, A., Ellice, J., Tukei, P., 1978. Space-time clustering of Burkitt's lymphoma in the West Nile District of Uganda, 1961-1975. British Journal of Cancer 37, 109-122.
433. Wint, G.R.W., Robinson, T.P., 2007. Gridded Livestock of the World, 2007. Food and Agriculture Organization of the United Nations, Animal Production and Health Division, Rome.
434. Wint, G., Robinson, T., Bourn, D., Durr, P., Hay, S., Randolph, S., Rogers, D., 2002. Mapping bovine tuberculosis in Great Britain using environmental data. Trends in Microbiology 10, 441- 444.
435. Wylie, J.L., Cabral, T., Jolly, A.M., 2005. Identification of networks of sexually transmitted infection: A molecular, geographic, and social network analysis. Journal of Infectious Diseases 191, 899-906.
436. Xia, H., Carlin, B., Waller, L., 1997. Hierarchical models for mapping Ohio lung cancer rates. Environmetrics 8, 107-120.
437. Yang, G.-J., Vounatsou, P., Zhou, X.-N., Tanner, M., Utzinger, J., 2005. A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. International Journal for Parasitology 35, 155-162.
438. Zeiler, M., 1999. Modeling Our World: The ESRI Guide to Geodatabase Design. Environmental Systems Research Institute, Redlands, California.
439. Zheng, X., Pierce, G., Reid, D., Jolliffe, I., 2002. Does the North Atlantic current affect spatial distribution of whiting? Testing environmental hypotheses using statistical and GIS techniques. ICES Journal of Marine Science 59, 239-253.
440. Bhopal, R. S., Diggle, P., Rowlingson, B., 1992. Pinpointing clusters of apparently sporadic cases of legionnaires' disease. British Medical Journal 304, 1022-1027.
441. Carslake, D., Bennett, M., Bown, K., Hazel, S., Telfer, S., Begon, M. 2005. Space-time clustering of cowpox virus infection in wild rodent populations. J. Anim. Ecol. 74, 647-655.
442. Carslake, D., Bennett, M., Hazel, S., Telfer, S., Begon, M. 2006. Inference of cowpox virus transmission rates between wild rodent host classes using space-time interaction. Proc. R. Soc. B. 273, 775-782
443. Gelman, A., Hill, J., 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, London.
444. Hay, S. I., Tatem, A. J., Graham, A. J., Goetz, S. J., Rogers, D. J., 2006b. Global environmental data for mapping infectious disease distribution. Advances in Parasitology 62, 37-77. (p.136)