Distance‐Based Methods for Spatial and Spatio‐Temporal Surveillance
This chapter contains sections titled: Introduction Motivation Distance‐based statistics for surveillance Spatio‐temporal surveillance: an example Locating clusters Conclusion Acknowledgments
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| creator | Forsberg, Laura Bonetti, Marco Jeffery, Caroline Ozonoff, Al Pagano, Marcello |
| description | This chapter contains sections titled:
Introduction
Motivation
Distance‐based statistics for surveillance
Spatio‐temporal surveillance: an example
Locating clusters
Conclusion
Acknowledgments |
| doi_str_mv | 10.1002/0470092505.ch8 |
| format | Book Chapter |
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Introduction
Motivation
Distance‐based statistics for surveillance
Spatio‐temporal surveillance: an example
Locating clusters
Conclusion
Acknowledgments</description><identifier>ISBN: 0470092483</identifier><identifier>ISBN: 9780470092484</identifier><identifier>EISBN: 0470092505</identifier><identifier>EISBN: 9780470092507</identifier><identifier>DOI: 10.1002/0470092505.ch8</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>bivariate test statistic ; Diseases ; distance‐based methods ; interpoint distance distribution ; M statistic ; maximized excess events test (MEET) ; Methodology ; power calculations ; Public health ; Risk ; Spatial analysis ; spatial surveillance ; spatio‐temporal surveillance ; Statistical methods ; Surveillance ; surveillance data stream</subject><ispartof>Spatial and Syndromic Surveillance for Public Health, 2005, p.133-152</ispartof><rights>Copyright © 2005 John Wiley & Sons, Ltd</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/0470092505.ch8$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002/0470092505.ch8$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>775,776,780,789,4309,27902,52507,52655</link.rule.ids></links><search><contributor>Kleinman, Ken</contributor><contributor>Lawson, Andrew B</contributor><creatorcontrib>Forsberg, Laura</creatorcontrib><creatorcontrib>Bonetti, Marco</creatorcontrib><creatorcontrib>Jeffery, Caroline</creatorcontrib><creatorcontrib>Ozonoff, Al</creatorcontrib><creatorcontrib>Pagano, Marcello</creatorcontrib><title>Distance‐Based Methods for Spatial and Spatio‐Temporal Surveillance</title><title>Spatial and Syndromic Surveillance for Public Health</title><description>This chapter contains sections titled:
Introduction
Motivation
Distance‐based statistics for surveillance
Spatio‐temporal surveillance: an example
Locating clusters
Conclusion
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Introduction
Motivation
Distance‐based statistics for surveillance
Spatio‐temporal surveillance: an example
Locating clusters
Conclusion
Acknowledgments</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/0470092505.ch8</doi><tpages>20</tpages></addata></record> |
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| identifier | ISBN: 0470092483 |
| ispartof | Spatial and Syndromic Surveillance for Public Health, 2005, p.133-152 |
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| language | eng |
| recordid | cdi_wiley_ebooks_10_1002_0470092505_ch8_ch8 |
| source | Wiley Online Library All Obooks |
| subjects | bivariate test statistic Diseases distance‐based methods interpoint distance distribution M statistic maximized excess events test (MEET) Methodology power calculations Public health Risk Spatial analysis spatial surveillance spatio‐temporal surveillance Statistical methods Surveillance surveillance data stream |
| title | Distance‐Based Methods for Spatial and Spatio‐Temporal Surveillance |
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