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Detecting multiple spatial disease clusters: information criterion and scan statistic approach

Detecting multiple spatial disease clusters: information criterion and scan statistic approach

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_974ca9ac4dc1418baeac560f75f13abd

Detecting multiple spatial disease clusters: information criterion and scan statistic approach

About this item

Full title

Detecting multiple spatial disease clusters: information criterion and scan statistic approach

Publisher

England: BioMed Central Ltd

Journal title

International journal of health geographics, 2020-09, Vol.19 (1), p.33-33, Article 33

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Detecting the geographical tendency for the presence of a disease or incident is, particularly at an early stage, a key challenge for preventing severe consequences. Given recent rapid advancements in information technologies, it is required a comprehensive framework that enables simultaneous detection of multiple spatial clusters, whether disease...

Alternative Titles

Full title

Detecting multiple spatial disease clusters: information criterion and scan statistic approach

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_974ca9ac4dc1418baeac560f75f13abd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_974ca9ac4dc1418baeac560f75f13abd

Other Identifiers

ISSN

1476-072X

E-ISSN

1476-072X

DOI

10.1186/s12942-020-00228-y

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