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Cluster of Parasite Infections by the Spatial Scan Analysis in Korea
Kyoung-Eun Bae, Yoon Kyung Chang, Tong-Soo Kim, Sung-Jong Hong, Hye-Jin Ahn, Ho-Woo Nam, Dongjae Kim
Korean J Parasitol. 2020;58(6):603-608.   Published online 2020 December 29    DOI: https://doi.org/10.3347/kjp.2020.58.6.603

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Cluster of Parasite Infections by the Spatial Scan Analysis in Korea
The Korean Journal of Parasitology. 2020;58(6):603-608   Crossref logo
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Analysis of Influential Factors of Violent Crimes and Building a Spatial Cluster in South Korea
Applied Spatial Analysis and Policy. 2019;13(3):759-776   Crossref logo
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Spatial cluster analysis of Crimean-Congo hemorrhagic fever virus seroprevalence in humans, Greece
Parasite Epidemiology and Control. 2016;1(3):211-218   Crossref logo
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Optimizing the maximum reported cluster size in the spatial scan statistic for ordinal data
PLOS ONE. 2017;12(7):e0182234   Crossref logo
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Spatial distribution and cluster analysis of dengue using self organizing maps in Andhra Pradesh, India, 2011–2013
Parasite Epidemiology and Control. 2018;3(1):52-61   Crossref logo
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Spatial heterogeneity in parasite infections at different spatial scales in an intertidal bivalve
Oecologia. 2006;150(4):569-581   Crossref logo
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Wald-based spatial scan statistics for cluster detection
Computational Statistics & Data Analysis. 2018;127:298-310   Crossref logo
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Optimal selection of the spatial scan parameters for cluster detection: A simulation study
Spatial and Spatio-temporal Epidemiology. 2012;3(2):107-120   Crossref logo
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Spatial Cluster Detection in Spatial Flow Data
Geographical Analysis. 2016;48(4):355-372   Crossref logo
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Spatial Scan Statistic
Encyclopedia of Social Network Analysis and Mining. 2014;1976-1976   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Korean J Parasitol has participated in CrossRef Text and Data Mining service since February 27, 2015.