https://doi.org/10.4081/gh.2023.1232
Correction. Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach.
Published: 1 August 2023
Abstract Views: 451
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
In the Article titled "Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach." published November 6th, 2017, in Vol 12(2) of Geospatial Health, an author's name was misspelled. The fifth author's name should be "Alamgir".
Reference:
Ullah S, Daud H, Dass SC, Khan HN, Khalil A, 2017. Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach. Geospatial Health, 12:567. https://doi.org/10.4081/gh.2017.567
Ullah S, Daud H, Dass SC, Khan HN, Khalil A, 2017. Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach. Geospatial Health, 12:567.
DOI: https://doi.org/10.4081/gh.2017.567
How to Cite
Publisher, T. . (2023). Correction. <i>Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach.</i>. Geospatial Health, 18(2). https://doi.org/10.4081/gh.2023.1232
Copyright (c) 2023 the Author(s)
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PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
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