Spatial aspects of MRSA epidemiology: A case study using stochastic simulation, kernel estimation and SaTScan

International Journal of Geographical Information Science

Volumn 21, Issue 7, 2007, Pages 811-836

  Bastin, L ^a   Rollason, J ^a   Hilton, A ^a   Pillay, D ^b   Corcoran, C ^b   Elgy, J ^a   Lambert, P ^a   De, P ^b   Worthington, T ^a   Burrows, K ^a  

^a ASTON UNIVERSITY   (United Kingdom)

^b UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Kernel density; MRSA; Random labelling; SaTScan; Stochastic simulation

Indexed keywords

CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA PROCESSING; EPIDEMIOLOGY; ESTIMATION METHOD; IDENTIFICATION METHOD; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY;

ENGLAND; EURASIA; EUROPE; UNITED KINGDOM; WEST MIDLANDS; WESTERN EUROPE;

METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS; STAPHYLOCOCCUS AUREUS;

EID: 34347268435     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810601135767     Document Type: Article

References (38)

1. Anselin, L. (1995) Local indicators of spatial association-LISA. Geographical Analysis, 27, pp. 93-116.
2. Baba, T., Takeuchi, F., Kuroda, M., Yuzawa, H., Aoki, K., Oguchi, A., Nagai, Y., Iwama, N., Asano, K., Naimi, T., Kuroda, H., Cui, L., Yamamoto, K. and Hiramatsu, K. (2002) Genome and virulence determinants of high virulence community-acquired MRSA. Lancet, 359, pp. 1819-1827.
3. Baddeley, A. and Turner, R. (2005) Spatstat: An R package for analyzing spatial point patterns. Journal of Statistical Software, 12, pp. 1-42.
4. Bailey, T. and Gatrell, A. (1995) Interactive Spatial Data Analysis, Longman Scientific &Technical, Harlow, UK
5. Besag, J. and Newell, J. (1991) The detection of clusters in rare diseases. Journal of the Royal Statistical Society, Series A, 154, pp. 143-155.
6. Brunsdon, C. (1995) Estimating probability surfaces for geographical point data: An adaptive kernel algorithm. Computers and Geosciences, 21, pp. 877-894.
7. Chambers, H. (2001) The changing epidemiology of Staphylococcus aureus?. Emerging Infectious Diseases, 7, pp. 178-182.
8. Chiu, S. (1991) The effect of discretization error on bandwidth selection for kernel density estimation. Biometrika, 78, pp. 436-441.
9. Collignon, P., Wilkinson, I., Gilbert, G., Grayson, M. and Whitby, R. (2006) Health care-associated Staphylococcus aureus bloodstream infections: A clinical quality indicator for all hospitals. Medical Journal of Australia, 184, pp. 404-406.
10. Cressie, N. (1993) Spatial point patterns. Statistics for Spatial Data (Revised Edition), Wiley, Chichester, UK
11. Diggle, P. and Chetwynd, A. (1991) Second-order analysis of spatial clustering for inhomogeneous populations. Biometrics, 47, pp. 1155-1163.
12. Dixon, P. (2002) Ripley's K-function. Encyclopedia of Environmetrics, pp. 1796-1803. Wiley, Chichester, UK
13. Gatrell, A., Bailey, T., Diggle, P. and Rowlingson, B. (1996) Spatial point pattern analysis and its application in geographical epidemiology. Transactions of the Institute of British Geographers, 21, pp. 256-274.
14. Gelman, A., Park, D., Ansolabere, S., Price, P. and Minnite, L. (2001) Models, assumptions and model checking in ecological regressions. Journal of the Royal Statistical Society: Series A (Statistics in Society), 164, pp. 101-119.
15. Griffiths, C., Lamagni, T., Crowcroft, N., Duckworth, G. and Rooney, C. (2004) Trends in MRSA in England and Wales: Analysis of morbidity and mortality data for 1993-2002. Health Statistics Quarterly, 21, pp. 15-22.
16. Haining, R. (1990) Spatial Data Analysis in the Social and Environmental Sciences, pp. 73-74. Cambridge University Press, Cambridge
17. Hanson, C. and Wieczorek, W. (2002) Alcohol mortality: A comparison of spatial clustering methods. Social Science and Medicine, 55, pp. 791-802.
18. Herold, B., Immergluck, L., Maranan, M., Lauderdale, D., Gaskin, R., Boyle-Vavra, S., Leitch, C. and Daum, R. (1998) Community-acquired methicillin-resistant Staphylococcus aureus in children with no identified predisposing risk. The Journal of the American Medical Association, 279, pp. 593-598.
19. Holmes, A., Ganner, M., McGuane, S., Pitt, T., Cookson, B. and Kearns, A. (2005) Staphylococcus aureus isolates carrying Panton-Valentine leucocidin genes in England and Wales: Frequency, characterization, and association with clinical disease. Journal of Clinical Microbiology, 43, pp. 2384-2390.
20. Ito, T., Ma, X., Takeuchi, F., Okuma, K., Yuzawa, H. and Hiramatsu, K. (2004) Novel type V staphylococcal cassette chromosome mec driven by a novel cassette chromosome recombinase, ccrC. Antimicrobial Agents and Chemotherapy, 48, pp. 2637-2651.
21. Ito, T., Katayama, Y., Asada, K., Mori, N., Tsutsumimoto, K., Tiensasitorn, C. and Hiramatsu, K. (2001) Structural comparison of three types of Staphylococcal cassette chromosome mec integrated in the chromosome in methicillin-resistant Staphylococcus aureus. Antimicrobial Agents and Chemotherapy, 45, pp. 1323-1336.
22. Kelsall, J. and Diggle, P. (1995) Non-parametric estimation of spatial variation in relative risk. Statistics in Medicine, 14, pp. 2335-2342.
23. Kingham, S. P., Gatrell, A. C. and Rowlingson, B. (1995) Testing for clustering of health events within a Geographical Information System Framework. Environment and Planning A, 27, pp. 809-821.
24. Kluytmans, J., Van Belkum, A. and Verbrugh, H. (1997) Nasal carriage of Staphylococcus aureus: Epidemiology, underlying mechanisms, and associated risks. Clinical Microbiology Review, 10, pp. 505-520.
25. Kulldorff, M. (1997) A spatial scan statistic. Communications in Statistics: Theory and Methods, 26, pp. 1481-1496.
26. Ma, X., Ito, T., Tiensasitorn, C., Jamklang, M., Chongtrakool, P., Boyle-Vavra, S., Daum, R. and Hiramatsu, K. (2002) Novel type of staphylococcal cassette chromosome mec identified in community-acquired methicillin-resistant Staphylococcus aureus strains. Antimicrobial Agents and Chemotherapy, 46, pp. 1147-1152.
27. Mainous, A., Hueston, W., Everett, C. and Diaz, V. (2006) Nasal carriage of Staphylococcus aureus and methicillin-resistant S. aureus in the United States, 2001-2002. Annals of Family Medicine, 4, pp. 132-137.
28. Okuma, K., Iwakawa, K., Turnidge, K., Grubb, W., Bell, J., O'Brien, F., Coombs, G., Pearman, J., Tenover, F., Kapi, M., Tiensasitorn, C., Ito, T. and Hiramatsu, K. (2002) Dissemination of new methicillin-resistant Staphylococcus aureus clones in the community. Journal of Clinical Microbiology, 40, pp. 4289-4294.
29. Openshaw, S., Charlton, M., Wymer, C. and Craft, A. (1987) A mark 1 geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Science, 1, pp. 335-358.
30. Ripley, B. D. (1976) The second-order analysis of stationary point processes. Journal of Applied Probability, 13, pp. 255-266.
31. Ripley, B. (1981) Spatial Statistics, Wiley, Chichester, UK
32. Rowlingson, B. and Diggle, P. (1993) SPLANCS: Spatial point pattern analysis code in S-Plus. Computers and Geosciences, 19, pp. 627-655.
33. Sabel, C., Gatrell, A., Lölytönen, M., Maasilta, P. and Jokelainen, M. (2000) Modelling exposure opportunities: Estimating relative risk for motor neurone disease in Finland. Social Science and Medicine, 50, pp. 1121-1137.
34. Saravolatz, L., Pohlod, D. and Arking, L. (1982) Community-acquired methicillin-resistant Staphylococcus aureus infections: A new source for nosocomial outbreaks. Annals of Internal Medicine, 97, pp. 325-329.
35. Silverman, B. (1986) Density estimation for Statistics and Data Analysis, pp. 43-61. Chapman &Hall, London
36. Tango, T. and Takahashi, K. (2005) A flexibly shaped scan statistic for detecting clusters. International Journal of Health Geographics, 4, p. 11.
37. Waller, L. A. and Jacquez, G. M. (1995) Disease models implicit in statistical tests of disease clustering. Epidemiology, 6, pp. 584-590.
38. Waller, L. and Gotway, C. (2004) Applied Spatial Statistics for Public Health Data, Wiley, New York