SPATIO-TEMPORAL CLUSTER ANALYSIS OF DISEASE
Abstract
The robust version of the spatial scanning statistics for clustering is proposed. Spatio-temporal cluster analysis algorithms were used for the cluster detection of incidence of thyroid carcinoma. Me-thods and algorithms of detection and building clusters for disease on studying territories are consi-dered.
About the Authors
M. S. Abramovich
НИИ прикладных проблем математики и информатики Белорусского государственного университета
Belarus
Belarus
S. V. Anishchanka
ООО «Ай-Джи Дев»
Belarus
Belarus
M. M. Mitskevich
НИИ прикладных проблем математики и информатики Белорусского государственного университета
Belarus
Belarus
O. I. Bydanov
Научно-практический центр детской онкологии, гематологии и иммунологии,
Belarus
Belarus
References
1. Rogerson, P. A set of associated statistical tests for detection of spatial clustering / P. Roger-son // Ecological and Environmental Statistics. – 2005. – Vol. 12. – P. 275–288.
2. Kulldorff, M. A spatial scan statistic / M. Kulldorff // Common Statistics. Theory Methods. – 1997. – No. 26 (6). – P. 1481–1496.
3. Tango, T. A spatial scan statistic with a restricted likelihood ratio / T. Tango // Japanese Journal of Biometrics. – 2008. – Vol. 29, no. 2. – P. 75–95.
4. Tango, T. A flexibly shaped scan statistic for detecting clusters / T. Tango, K. Takahashi // Intern. J. of Health Geographics. – 2005. – Vol. 4. – P. 115–125.
5. A flexibly shaped scan statistic for disease outbreak detection and monitoring / K. Takahashi [et al.] // Intern. J. of Health Geographics. – 2008. – Vol. 7. – P. 85–98.
6. Swartz, J.B. An entropy-based algorithm for detecting clusters of cases and controls and its comparison with a method using nearest neighbours / J.B. Swartz // Health Place. – 1998. – Vol. 4 – P. 67–77.
7. A test to detect clusters of disease / A.S. Whittemore [et al.] // Biometrika. – 1987. – Vol. 74. – P. 631–635.
8. Abramovich, M.S. Robust spatio-temporal cluster analysis of disease / M.S. Abramovich, M.M. Mitskevich // Proc. of the 10th Intern. Conf. «Computer Data Analysis and Modeling». – Minsk : Рublishing center of BSU, 2013. – Vol. 2. – P. 95–98.
9. Хьюбер, П. Робастность в статистике / П. Хьюбер. – М. : Мир, 1984. – 303 с.
Review
For citations:
Abramovich M.S., Anishchanka S.V., Mitskevich M.M., Bydanov O.I. SPATIO-TEMPORAL CLUSTER ANALYSIS OF DISEASE. Informatics. 2014;(4):75-84. (In Russ.)
Views: 794
Email this article 