Correction. Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach.
![](https://www.geospatialhealth.net/public/journals/1/submission_1232_1036_coverImage_en_US.jpg)
Published: 1 August 2023
Abstract Views: 561
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.
Similar Articles
- Yolanda J. McDonald, Michael Schwind, Daniel W. Goldberg, Amanda Lampley, Cosette M. Wheeler, An analysis of the process and results of manual geocode correction , Geospatial Health: Vol. 12 No. 1 (2017)
- Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse, Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty , Geospatial Health: Vol. 11 No. s1 (2016): HEALTHY FUTURES
- Dolores Catelan, Annibale Biggeri, Multiple testing in disease mapping and descriptive epidemiology , Geospatial Health: Vol. 4 No. 2 (2010)
- Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu, The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view , Geospatial Health: Vol. 17 No. 2 (2022)
- Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli, Haemonchus contortus: spatial risk distribution for infection in sheep in Europe , Geospatial Health: Vol. 9 No. 2 (2015): GLOWORM Special Issue
- Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger, Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling , Geospatial Health: Vol. 10 No. 2 (2015)
- Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan, Sheep and Fasciola hepatica in Europe: the GLOWORM experience , Geospatial Health: Vol. 9 No. 2 (2015): GLOWORM Special Issue
- Barbara Więckowska, Justyna Marcinkowska, CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level , Geospatial Health: Vol. 12 No. 2 (2017)
- The Publisher, Correction. Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020) , Geospatial Health: Vol. 18 No. 2 (2023)
- Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan, Preferential sampling in veterinary parasitological surveillance , Geospatial Health: Vol. 11 No. 1 (2016): Valencia Issue
You may also start an advanced similarity search for this article.