Objective assessment of risk maps of tick-borne encephalitis and Lyme borreliosis based on spatial patterns of located cases

International Journal of Epidemiology

Volumn 26, Issue 5, 1997, Pages 1121-1130

  Zeman, Peter ^a  

^a Regional Center of Hygiene   (Czech Republic)

Author keywords

Epidemiological reports; Geographical information system (GIS); Lyme borreliosis; Spatial statistics; Tick borne encephalitis

Indexed keywords

CLUSTERING; DISEASE PREVALANCE; ENDEMIC DISEASE; GIS; INFECTION; MAPPING PROJECT; SPATIAL PATTERN;

ARTICLE; CZECH REPUBLIC; ENDEMIC DISEASE; GEOGRAPHIC DISTRIBUTION; HUMAN; IMMUNOFLUORESCENCE TEST; INFORMATION PROCESSING; LYME DISEASE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK; TICK BORNE ENCEPHALITIS;

CZECH REPUBLIC; ENCEPHALITIS, TICK-BORNE; GEOGRAPHY; HUMANS; INCIDENCE; LYME DISEASE; MODELS, STATISTICAL; RETROSPECTIVE STUDIES; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SPACE-TIME CLUSTERING;

CZECH REPUBLIC;

EID: 0030661923     PISSN: 03005771     EISSN: None     Source Type: Journal    
DOI: 10.1093/ije/26.5.1121     Document Type: Article

References (39)

1. Marshall R J. A review of methods for the statistical analysis of spatial patterns of disease. J R Statist Soc A 1991; 154: 421-41.
2. Hungerford L L. Use of spatial statistics to identify and test significance in geographic disease patterns. Prev Vet Med 1991: 11: 237-42.
3. WHO. Data Requirements and Methods for Analysing Spatial Patterns of Disease in Small Areas. Copenhagen: WHO Regional Office for Europe, 1991.
4. Lawson A, Waller L, Biggeri A (eds). Spatial disease patterns. Stat Med 1995; 14: 2289-503.
5. Diggle P J. Statistical Analysis of Spatial Point Patterns. London: Academic Press, 1983.
6. Whittemore A S, Friend N, Brown B W, Holly E A. A test to detect clusters of disease. Biometrika 1987; 74: 631-35.
7. Schulman J, Selvin S, Merrill D W, Density equalized map projections: a method for analysing clustering around a fixed point. Stat Med 1988; 7: 491-506.
8. Cuzick J, Edwards R. Spatial clustering for inhomogeneous populations. J R Statist Soc B 1990; 52: 73-104.
9. Besag J, Newell J. The detection of clusters of rare diseases. J R Statist Soc A 1991; 154: 143-55.
10. Diggle P J. Chetwynd A G. Second-order analysis of spatial clustering for inhomogeneous populations. Biometrics 1991; 47: 1155-63.
11. Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference. Stat Med 1995; 14: 799-810.
12. Jacques G M. Disease cluster statistics for imprecise space-time locations. Stat Med 1996; 15: 873-85.
13. Openshaw S, Craft M, Charlton M, Birch J M. Investigation of leukemia clusters by use of geographical analysis machine. Lancet 1988; i: 272-73.
14. l4 Gatrell A, Dunn C. GIS in epidemiological research: analysing cancer of the larynx in northwest England. In: Proceedings of the First European Conference on Geographical Information Systems. Amsterdam, 1990, pp. 346-56.
15. Croner C M, Sperling J, Broome F R, Geographic information systems (GIS): new perspectives in understanding human health and environmental relationships. Stat Med 1996; 15: 1961-77.
16. Hugh-Jones M. Introductory remarks on the application of remote sensing and geographic information systems to epidemiology and disease control. Prev Vet Med 1991; 11: 159-61.
17. Kitron U, Bouseman J K, Jones C J. Use of the ARC/INFO GIS to study the distribution of Lyme disease ticks in an Illinois county, Prev Vet Med 1991; 11: 243-48.
18. Glass G E, Morgan III J M, Johnson D T, Noy P M, Israel E, Schwartz B S. Infectious disease epidemiology and GIS: a case study of Lyme disease. Geo Info Systems 1992; 2: 65-69.
19. Dister S, Beck L, Wood B, Falco R, Fish D. The use of GIS and remote sensing technologies in a landscape approach to the study of Lyme disease transmission risk. Presented at the Seventh Annual Symposium on Geographic Information Systems in Forestry, Environmental and Natural Resource Management. Vancouver, Canada, February 1993.
20. Glass G E, Amerasinghe F P, Morgan III J M, Scott T W. Predicting Ixodes scapularis abundance on white-tailed deer using geographic information systems. Am J Trop Med Hyg 1994; 51; 538-44.
21. Glass G E, Schwartz B S, Morgan III J M, Johnson D T, Noy P M, Israel E. Environmental risk factors for Lyme disease identified with geographic information systems. Am J Public Health 1995; 85: 944-48.
22. Nicholson M C, Mather T N. Methods for evaluating Lyme disease risk using geographic information systems and geospatial analysis. J Med Entomol 1996; 33: 711-20.
23. Ebdon D. Statistics in Geography. Oxford: Basil Blackwell, 1977.
24. Ripley B D. Spatial Statistics. New York: John Wiley, 1981.
25. Ripley B D. The second-order analysis of stationary point processes. J Appl Probability 1976; 4: 255-66.
26. Fisher M. Algorithms for the computation of spatial statistics. Comput Biol Med 1990; 20: 311-17.
27. Bithell J F. An application of density estimation to geographical epidemiology. Stat Med 1990; 9: 691-701.
28. Diggle P J. A point process modeling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. J R Statist Soc A 1990; 153: 349-62.
29. Lawson A B, Williams F L R. Applications of extraction mapping in environmental epidemiology. Stat Med 1993; 12: 1249-58.
30. Kelsall J E, Diggle P J. Non-parametric estimation of spatial variation in relative risk. Stat Med 1995; 14: 2335-42.
31. Silverman B W. Density Estimation for Statistics and Data Analysis. London, New York: Chapman and Hall, 1986.
32. Radvan R, Hanzak J, Hejny S, Rehn F, Rosicky B. Demonstration of elementary foci of tick-borne infections on the basis of microbiological, parasitological and biocenological investigations. J Hyg Epidemiol Microbiol Immunol 1960; 4: 81-93.
33. Rosicky B, Hejny S. Structure of elementary foci of tick-borne encephalitis and the possibilities of their indication by certain phytocenoses. In: Biology of Viruses of the Tick-borne Encephalitis Complex. Publishing House Czech Acad Sci 1962; 4: 420-22.
34. Asmera J, Heinz F. Delimitation of natural foci of tickborne encephalitis in North-Eastern Moravia. Folia Parasitol (Prague) 1972; 19: 263-71.
35. Daniel M, Kolar J. Using satellite data to forecast the occurrence of the common tick Ixodes ricinus (L.). J Hyg Epidemiol Microbiol Immunol 1990; 34: 243-52.
36. Planka L, Bucek A, Götz A et al. (eds). Atlas of the Environment and Health of the Population of the CSFR. Brno, Prague: Inst Geography and Federal Environ Committee, 1992.
37. Gern L, DeMarval F, Aeschlimann A. Comparative considerations of Lyme borreliosis and tick-borne encephalitis in Switzerland. In: Dusbabek F, Bukva V (eds). Modern Acarology. The Hague: Academia, Prague, and SPB Academic Publishing bv, 1991; pp. 249-54.
38. Hardle W. Applied Nonparametric Regression. Cambridge: Cambridge University Press, 1990.
39. Kitron U, Mannelli A, Modelling the ecological dynamics of Tick-borne zoonoses. In: Sonenshine D E, Mather T N (eds). Ecological Dynamics of Tick-borne Zoonoses. New York, Oxford: Oxford University Press, 1994, pp. 226-39.