Adaptive likelihood ratio approaches for the detection of space–time disease clusters

2014 ◽  
Vol 77 ◽  
pp. 352-370 ◽  
Author(s):  
Max Sousa de Lima ◽  
Luiz Henrique Duczmal
Keyword(s):  
Likelihood Ratio ◽  
Space Time ◽  
Disease Clusters

scholarly journals An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199176 ◽  
Author(s):  
Sami Ullah ◽  
Hanita Daud ◽  
Sarat C. Dass ◽  
Hadi Fanaee-T ◽  
Alamgir Khalil
Keyword(s):  
Space Time ◽  
Disease Clusters ◽  
Khyber Pakhtunkhwa

scholarly journals A model-adjusted space–time scan statistic with an application to syndromic surveillance

2005 ◽  
Vol 133 (3) ◽  
pp. 409-419 ◽  
Author(s):  
K. P. KLEINMAN ◽  
A. M. ABRAMS ◽  
M. KULLDORFF ◽  
R. PLATT
Keyword(s):  
Temporal Trends ◽  
Space Time ◽  
Local History ◽  
Group Practice ◽  
Scan Statistic ◽  
Disease Clusters ◽  
Geographical Patterns ◽  
Naturally Occurring ◽  
History Of ◽  
Time Scan

The space–time scan statistic is often used to identify incident disease clusters. We introduce a method to adjust for naturally occurring temporal trends or geographical patterns in illness. The space–time scan statistic was applied to reports of lower respiratory complaints in a large group practice. We compared its performance with unadjusted populations from: (1) the census, (2) group-practice membership counts, and on adjustments incorporating (3) day of week, month, and holidays; and (4) additionally, local history of illness. Using a nominal false detection rate of 5%, incident clusters during 1 year were identified on 26, 22, 4 and 2% of days for the four populations respectively. We show that it is important to account for naturally occurring temporal and geographic trends when using the space–time scan statistic for surveillance. The large number of days with clusters renders the census and membership approaches impractical for public health surveillance. The proposed adjustment allows practical surveillance.

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