A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters

2012 ◽  
Vol 31 (30) ◽  
pp. 4207-4218 ◽  
Author(s):  
Toshiro Tango ◽  
Kunihiko Takahashi
Keyword(s):  
Likelihood Ratio ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Disease Clusters ◽  
Restricted Likelihood ◽  
Spatial Scan

scholarly journals A Spatial Scan Statistic with a Restricted Likelihood Ratio

2008 ◽  
Vol 29 (2) ◽  
pp. 75-95 ◽  
Author(s):  
Toshiro Tango
Keyword(s):  
Likelihood Ratio ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Restricted Likelihood ◽  
Spatial Scan

Spatial scan statistics can be dangerous

2021 ◽  
Vol 30 (1) ◽  
pp. 75-86
Author(s):  
Toshiro Tango
Keyword(s):  
Disease Surveillance ◽  
Epidemiological Studies ◽  
Scan Statistics ◽  
Mortality Data ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan Statistics ◽  
Restricted Likelihood ◽  
Risk Of Disease ◽  
Spatial Scan

Spatial scan statistics are widely used tools for the detection of disease clusters. Especially, the circular spatial scan statistic proposed by Kulldorff along with SaTScan software has been used in a wide variety of epidemiological studies and disease surveillance. However, as it cannot detect non-circular, irregularly shaped clusters, many authors have proposed non-circular spatial scan statistics. Above all, the flexible spatial scan statistic proposed by Tango and Takahashi along with FleXScan software has also been used. However, it does not seem to be well recognized that these spatial scan statistics, especially SaTScan, tend to detect the most likely cluster, much larger than the true cluster by absorbing neighboring regions with nonelevated risk of disease occurrence. Therefore, if researchers reported the detected most likely cluster as they are, it might lead to a criticism to them due to the fact that some regions with nonelevated risk are included in the detected most likely cluster. In this paper, to avoid detecting such undesirable and misleading clusters which might cause a social concern, we shall propose the use of the restricted likelihood ratio proposed by Tango and illustrate the procedure with two kinds of mortality data in Japan.

A spatial scan statistic for survival data based on Weibull distribution

2013 ◽  
Vol 33 (11) ◽  
pp. 1867-1876 ◽  
Author(s):  
Vijaya Bhatt ◽  
Neeraj Tiwari
Keyword(s):  
Weibull Distribution ◽  
Survival Data ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

scholarly journals New developments in the spatial scan statistic

2013 ◽  
Vol 39 (1) ◽  
pp. 36-47 ◽  
Author(s):  
Simon Read ◽  
Peter A. Bath ◽  
Peter Willett ◽  
Ravi Maheswaran
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
New Developments ◽  
Spatial Scan

The Study on Modified Spatial Scan Statistic

2017 ◽  
pp. 329-342 ◽  
Author(s):  
Yilan Liao ◽  
Xiaozhou Li ◽  
Jinfeng Wang
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

Zero-inflated Bell scan: A more flexible spatial scan statistic

2020 ◽  
Vol 36 ◽  
pp. 100433
Author(s):  
Ali Abolhassani ◽  
Marcos O. Prates ◽  
Fredy Castellares ◽  
Safieh Mahmoodi
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

Comments on “A spatial scan statistic for compound Poisson data”

2019 ◽  
Vol 38 (7) ◽  
pp. 1297-1299 ◽  
Author(s):  
Fredy Castellares ◽  
Marcos O. Prates ◽  
Ali Abolhassani
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Compound Poisson ◽  
Spatial Scan ◽  
Poisson Data
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