Skip to Main content Skip to Navigation
Journal articles

Cluster Detection Tests in Spatial Epidemiology: A Global Indicator for Performance Assessment

Abstract : In cluster detection of disease, the use of local cluster detection tests (CDTs) is current. These methods aim both at locating likely clusters and testing for their statistical significance. New or improved CDTs are regularly proposed to epidemiologists and must be subjected to performance assessment. Because location accuracy has to be considered, performance assessment goes beyond the raw estimation of type I or II errors. As no consensus exists for performance evaluations, heterogeneous methods are used, and therefore studies are rarely comparable. A global indicator of performance, which assesses both spatial accuracy and usual power, would facilitate the exploration of CDTs behaviour and help between-studies comparisons. The Tanimoto coefficient (TC) is a well-known measure of similarity that can assess location accuracy but only for one detected cluster. In a simulation study, performance is measured for many tests. From the TC, we here propose two statistics , the averaged TC and the cumulated TC, as indicators able to provide a global overview of CDTs performance for both usual power and location accuracy. We evidence the properties of these two indicators and the superiority of the cumulated TC to assess performance. We tested these indicators to conduct a systematic spatial assessment displayed through performance maps.
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download
Contributor : SYLVIE ROUX Connect in order to contact the contributor
Submitted on : Tuesday, May 21, 2019 - 3:54:53 PM
Last modification on : Thursday, June 9, 2022 - 12:10:02 PM


Publisher files allowed on an open archive


Distributed under a Creative Commons Attribution 4.0 International License



Aline Guttmann, Xinran Li, Fabien Feschet, Jean Gaudart, Jacques Demongeot, et al.. Cluster Detection Tests in Spatial Epidemiology: A Global Indicator for Performance Assessment. PLoS ONE, Public Library of Science, 2015, 10 (6), pp.e0130594. ⟨10.1371/journal.pone.0130594⟩. ⟨hal-02102324⟩



Record views


Files downloads