A Space–Time Permutation Scan Statistic for Disease Outbreak Detection
Publication Date
February 15, 2005
Journal
PLOS Medicine
Authors
Martin Kulldorff, Richard Heffernan, Jessica Hartman, Renato Assunção, et al
Volume
2
Issue
3
Pages
e59
DOI
https://dx.plos.org/10.1371/journal.pmed.0020059
Publisher URL
http://journals.plos.org/plosmedicine/article?id=10.1371%2Fjournal.pmed.0020059
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/15719066
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC548793
Europe PMC
http://europepmc.org/abstract/MED/15719066
Web of Science
000228382500013
Scopus
18244370236
Mendeley
http://www.mendeley.com/research/spacetime-permutation-scan-statistic-disease-outbreak-detection
Events
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Mendeley | Further Information

{"title"=>"A space-time permutation scan statistic for disease outbreak detection", "type"=>"journal", "authors"=>[{"first_name"=>"Martin", "last_name"=>"Kulldorff", "scopus_author_id"=>"7004233391"}, {"first_name"=>"Richard", "last_name"=>"Heffernan", "scopus_author_id"=>"6603674554"}, {"first_name"=>"Jessica", "last_name"=>"Hartman", "scopus_author_id"=>"7201671350"}, {"first_name"=>"Renato", "last_name"=>"Assunção", "scopus_author_id"=>"6701711300"}, {"first_name"=>"Farzad", "last_name"=>"Mostashari", "scopus_author_id"=>"6603768445"}], "year"=>2005, "source"=>"PLoS Medicine", "identifiers"=>{"scopus"=>"2-s2.0-18244370236", "sgr"=>"18244370236", "issn"=>"15491277", "doi"=>"10.1371/journal.pmed.0020059", "pmid"=>"15719066", "isbn"=>"1549-1676 (Electronic)\\n1549-1277 (Linking)", "pui"=>"40629468"}, "id"=>"b54dcdc1-1024-3953-bc50-8646fe936fbe", "abstract"=>"BACKGROUND: The ability to detect disease outbreaks early is important in order to minimize morbidity and mortality through timely implementation of disease prevention and control measures. Many national, state, and local health departments are launching disease surveillance systems with daily analyses of hospital emergency department visits, ambulance dispatch calls, or pharmacy sales for which population-at-risk information is unavailable or irrelevant. METHODS AND FINDINGS: We propose a prospective space-time permutation scan statistic for the early detection of disease outbreaks that uses only case numbers, with no need for population-at-risk data. It makes minimal assumptions about the time, geographical location, or size of the outbreak, and it adjusts for natural purely spatial and purely temporal variation. The new method was evaluated using daily analyses of hospital emergency department visits in New York City. Four of the five strongest signals were likely local precursors to citywide outbreaks due to rotavirus, norovirus, and influenza. The number of false signals was at most modest. CONCLUSION: If such results hold up over longer study times and in other locations, the space-time permutation scan statistic will be an important tool for local and national health departments that are setting up early disease detection surveillance systems.", "link"=>"http://www.mendeley.com/research/spacetime-permutation-scan-statistic-disease-outbreak-detection", "reader_count"=>360, "reader_count_by_academic_status"=>{"Unspecified"=>13, "Professor > Associate Professor"=>25, "Librarian"=>1, "Researcher"=>89, "Student > Doctoral Student"=>23, "Student > Ph. D. Student"=>92, "Student > Postgraduate"=>8, "Student > Master"=>62, "Other"=>10, "Student > Bachelor"=>18, "Lecturer"=>7, "Lecturer > Senior Lecturer"=>2, "Professor"=>10}, "reader_count_by_user_role"=>{"Unspecified"=>13, "Professor > Associate Professor"=>25, "Librarian"=>1, "Researcher"=>89, "Student > Doctoral Student"=>23, "Student > Ph. D. 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CrossRef

Scopus | Further Information

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Figshare

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PMC Usage Stats | Further Information

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Relative Metric

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