[The early warning system based on the prospective space-time permutation statistic].
OBJECTIVE
To investigate the application of prospective permutation space-time scan statistic in the early detection of infectious disease outbreaks.


METHODS
The prospective permutation space-time scan statistic was tested by mimicking daily prospective analyses of measles data of Chengdu city in 2005.


RESULTS
The prospective space-time permutation scan statistic could timely detect the outbreaks that start locally.


CONCLUSIONS
The early warning system based on prospective space-time permutation scan statistic and geographical information system could work efficiently.
Yin
Fei
F
West China School of Public Health, Sichuan University, Chengdu 610041, China.
Li
Xiaosong
X
Ma
Jiaqi
J
Feng
Zijian
Z
D002681:China / Q000453:epidemiology; D003140:Communicable Disease Control / Q000379:methods*; D003141:Communicable Diseases / Q000453:epidemiology; D003627:Data Interpretation, Statistical; D004196:Disease Outbreaks; D040362:Geographic Information Systems; D006801:Humans; D015233:Models, Statistical; D011159:Population Surveillance / Q000379:methods*; D011446:Prospective Studies