Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance

被引:0
|
作者
Gillian D Alton
David L Pearl
Ken G Bateman
Bruce McNab
Olaf Berke
机构
[1] University of Guelph,Department of Population Medicine, Ontario Veterinary College
[2] Ontario Ministry of Agriculture & Food,Department of Mathematics and Statistics
[3] University of Guelph,undefined
来源
BMC Veterinary Research | / 9卷
关键词
Scan statistic; Syndromic surveillance; Abattoir; Condemnations;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance
    Alton, Gillian D.
    Pearl, David L.
    Bateman, Ken G.
    McNab, Bruce
    Berke, Olaf
    BMC VETERINARY RESEARCH, 2013, 9
  • [2] A model-adjusted space-time scan statistic with an application to syndromic surveillance
    Kleinman, KP
    Abrams, AM
    Kulldorff, M
    Platt, R
    EPIDEMIOLOGY AND INFECTION, 2005, 133 (03): : 409 - 419
  • [3] Detection of clusters using space-time scan statistics
    Tonini, Marj
    Tuia, Devis
    Ratle, Frederic
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2009, 18 (07) : 830 - 836
  • [4] A comparison of prospective space-time scan statistics and spatiotemporal event sequence based clustering for COVID-19 surveillance
    Xu, Fuyu
    Beard, Kate
    PLOS ONE, 2021, 16 (06):
  • [5] Early Detection of Terrorism Outbreaks Using Prospective Space-Time Scan Statistics
    Gao, Peng
    Guo, Diansheng
    Liao, Ke
    Webb, Jennifer J.
    Cutter, Susan L.
    PROFESSIONAL GEOGRAPHER, 2013, 65 (04): : 676 - 691
  • [6] A CUSUM framework for detection of space-time disease clusters using scan statistics
    Sonesson, Christian
    STATISTICS IN MEDICINE, 2007, 26 (26) : 4770 - 4789
  • [7] Review of methods for space-time disease surveillance
    Robertson, Colin
    Nelson, Trisalyn A.
    MacNab, Ying C.
    Lawson, Andrew B.
    SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY, 2010, 1 (2-3) : 105 - 116
  • [8] On the recent debate on the space-time scan statistic for prospective surveillance
    Tango, Toshiro
    STATISTICS IN MEDICINE, 2016, 35 (11) : 1927 - 1928
  • [9] Identification of Traffic Accident Clusters using Kulldorff's Space-Time Scan Statistics
    Song, Junxian
    Wen, Rong
    Yan, Wenjing
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 3162 - 3167
  • [10] Space-time prospective surveillance based on Knox local statistics
    Piroutek, Aline
    Assuncao, Renato
    Paiva, Thais
    STATISTICS IN MEDICINE, 2014, 33 (16) : 2758 - 2773