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Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data

Sharon K. Greene, Martin Kulldorff, Jie Huang, Richard J. Brand, Kenneth P. Kleinman, John Hsu, Richard Platt
2011 Statistics in Medicine  
Prospective surveillance was mimicked within each data stream using a space-time permutation scan statistic, analyzing only data available as of each day, to evaluate the ability and timeliness to detect  ...  We compared the performance of ten types of electronic clinical data for timely detection of influenza clusters throughout the 2007/08 influenza season in northern California.  ...  Acknowledgments Research support was provided by cooperative agreement GM076672 from the National Institute of General Medical Sciences under the Models of Infectious Disease Agent Study (MIDAS) program  ... 
doi:10.1002/sim.3883 pmid:21312219 pmcid:PMC3058686 fatcat:lgjqdgohnzcw5amcneaz5izkri

Daily Reportable Disease Spatiotemporal Cluster Detection, New York City, New York, USA, 2014–2015

Sharon K. Greene, Eric R. Peterson, Deborah Kapell, Annie D. Fine, Martin Kulldorff
2016 Emerging Infectious Diseases  
Each day, the New York City Department of Health and Mental Hygiene uses the free SaTScan software to apply prospective space-time permutation scan statistics to strengthen early outbreak detection for  ...  This method prompted early detection of outbreaks of community-acquired legionellosis and shigellosis.  ...  prospective space-time permutation scan statistic.  ... 
doi:10.3201/eid2210.160097 pmid:27648777 pmcid:PMC5038417 fatcat:leemwvaixbekreybpzsddphi5u

Automated surveillance of 911 call data for detection of possible water contamination incidents

Adam J Haas, Darcy Gibbons, Chrissy Dangel, Steve Allgeier
2011 International Journal of Health Geographics  
The 911 surveillance system uses a space-time scan statistic to detect potential water contamination incidents.  ...  Data were available for analysis approximately 48 minutes after calls indicating alarms may be generated 1-2 hours after a rapid increase in call volume.  ...  Acknowledgements We acknowledge the Greater Cincinnati Water Works and Cincinnati Fire Department for their role in granting access to the data used for this study, and the Cincinnati Health Department  ... 
doi:10.1186/1476-072x-10-22 pmid:21450105 pmcid:PMC3075213 fatcat:ywsj5fqm2zghjnb3pj3xtqa6c4

A log-Weibull spatial scan statistic for time to event data

Iram Usman, Rhonda J. Rosychuk
2018 International Journal of Health Geographics  
Conclusions: We proposed the spatial scan statistic for the log-Weibull distribution as a new approach for detecting spatial clusters for time to event data.  ...  Results: We propose the log-Weibull as an alternative distribution for the spatial scan statistic for time to events data and compare and contrast the log-Weibull and Weibull distributions through simulation  ...  Sponsor had no role in the study design, analysis and interpretation of data, writing of the report, and in the decision to submit the article for publication.  ... 
doi:10.1186/s12942-018-0137-9 pmid:29895308 pmcid:PMC5998574 fatcat:vqqmvxf23nefha6mqy2ig4abku

Multivariate scan statistics for disease surveillance

Martin Kulldorff, Farzad Mostashari, Luiz Duczmal, W. Katherine Yih, Ken Kleinman, Richard Platt
2007 Statistics in Medicine  
In this paper, we present an extention of the spatial and space-time scan statistic that simultaneously incorporates multiple data sets into a single likelihood function, so that a signal is generated  ...  For upper and lower gastrointestinal illness, there were on . average 20 telephone calls, 9 urgent care visits and 22 regular physician visits per day.  ...  Sloan Foundation (MK,FM,LD) and the National Center for Infectious Diseases, Centers for Disease Control and Prevention, grant number CCU115079 (MK,KY,KK,RP). Their support is greatly appreciated.  ... 
doi:10.1002/sim.2818 pmid:17216592 fatcat:dcd3ycegjrazja4hgslrtaybnq

Exploring relationships between whole carcass condemnation abattoir data, non-disease factors and disease outbreaks in swine herds in Ontario (2001–2007)

Andrea L Thomas-Bachli, David L Pearl, Robert M Friendship, Olaf Berke
2014 BMC Research Notes  
The objective was to examine the suitability of these data for detection of disease outbreaks using multi-level models and spatial scan statistics.  ...  , and explored potentially biasing non-disease factors within these data.  ...  Acknowledgements The authors would like to acknowledge the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) for their permission to access the data and data support for this research.  ... 
doi:10.1186/1756-0500-7-185 pmid:24674622 pmcid:PMC3975458 fatcat:yhqg5hd7ezeypbpnu4frrxofdq

Evaluating and implementing temporal, spatial, and spatio-temporal methods for outbreak detection in a local syndromic surveillance system

Robert W. Mathes, Ramona Lall, Alison Levin-Rector, Jessica Sell, Marc Paladini, Kevin J. Konty, Don Olson, Don Weiss, Claudia Torres Codeço
2017 PLoS ONE  
Furthermore, we found the scan statistics, as applied in the SaTScan software package, to be the easiest to program and implement for daily data analysis.  ...  The New York City Department of Health and Mental Hygiene has operated an emergency department syndromic surveillance system since 2001, using temporal and spatial scan statistics run on a daily basis  ...  Acknowledgments We are grateful to this project's Advisory Board (Howard Burkom, Jim Hadler, Aaron Kite-Powell, Martin Kulldorff, Jose Lojo, Thomas Matte, and Dan Sosin) for their valuable insight and  ... 
doi:10.1371/journal.pone.0184419 pmid:28886112 pmcid:PMC5590919 fatcat:3q2cdnpcsjhuhf7thsaeyxbvsq

Expectation-based scan statistics for monitoring spatial time series data

Daniel B. Neill
2009 International Journal of Forecasting  
We evaluate several variants of the expectation-based scan statistic on the disease surveillance task (using synthetic outbreaks injected into real-world hospital Emergency Department data), and draw conclusions  ...  We consider the simultaneous monitoring of a large number of spatially localized time series in order to detect emerging spatial patterns.  ...  ) seasonal and (cyclical) day-of-week trends; and the "current day" (CD) method used in the space-time permutation statistic , which adjusts for the global aggregate count and thus detects only space-time  ... 
doi:10.1016/j.ijforecast.2008.12.002 fatcat:kmuya5bvwvc63anq5gors6zy54

An up-to-date review of scan statistics

Ali Abolhassani, Marcos O. Prates
2021 Statistics Survey  
Scan statistics have been a very important and active area of statistical research in the past three decades.  ...  This study reviews how scan statistics have developed in the last three decades, the main concerns of researchers in scan statistics, and how researchers have approached these concerns.  ...  data; 5) spatial survival data; 6) event data; 7) multinomial data; 8) ordinal data; and 9) time series data.  ... 
doi:10.1214/21-ss132 fatcat:rrtypq4g7ne4zhorndj6ejwmgi

An Eigenspace Method for Detecting Space-Time Disease Clusters with Unknown Population-Data

Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Hadi Fanaee-T, Alamgir Khalil
2022 Computers Materials & Continua  
The state-of-the-art method for this kind of problem is the Space-time Scan Statistics (SaTScan) which has limitations for non-traditional/non-clinical data sources due to its parametric model assumptions  ...  Space-time disease cluster detection assists in conducting disease surveillance and implementing control strategies.  ...  Funding Statement: This article was funded by a Fundamental Research Grant Scheme (FRGS) from the Ministry of Education, Malaysia (Ref: FRGS/1/2018/STG06/UTP/02/1) and a Yayasan Universiti Teknologi PETRONAS-Fundamental  ... 
doi:10.32604/cmc.2022.019029 fatcat:whbepkpu65gwnfygotcqbus56i

Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes

2009 Epidemiology and Infection  
We describe and evaluate the use of an electronic laboratory data system (WHONET) and a space-time permutation scan statistic for semi-automated disease outbreak detection.  ...  We searched for clusters on the basis of genus, species, and resistance phenotype and identified 19 statistical 'events ' in a 12-month period.  ...  We are also grateful to Susana Bruno and the Service of Antigens and Antisera of INPB-ANLIS 'Carlos G. Malbra´n ' for the provision of antisera for this study.  ... 
doi:10.1017/s0950268809990884 pmid:19796449 pmcid:PMC4093803 fatcat:dwvugzxzsvc7tmccsebiafcp4i

Prospective Detection of Outbreaks [article]

Benjamin Allévius, Michael Höhle
2017 arXiv   pre-print
In particular, the scan statistics methodology for outbreak cluster detection in discrete-time area-referenced data is discussed, as well as similar methods for continuous-time, continuous-space data.  ...  The chapter begins by describing two popular detection methods for univariate time series data: the EARS algorithm of the CDC, and the Farrington algorithm more popular at European public health institutions  ...  The authors thank Renato Assunção and Leonhard Held for their insightful feedback during the writing of the chapter.  ... 
arXiv:1711.08960v1 fatcat:unmcalxo2vbydo5xpyx4audxii

Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach

Soheil Hashtarkhani, Behzad Kiani, Alireza Mohammadi, Shahab MohammadEbrahimi, Mohammad Dehghan-Tezerjani, Tahereh Samimi, Mahmood Tara, Stephen A. Matthews
2021 Geospatial Health  
Spatial, temporal and spatio-temporal clustering techniques were applied to EMS data based on Kulldorff scan statistics technique.  ...  This study aimed to describe the characteristics of EMS callers and space-time distribution of emergency requests in a large urban area.  ...  Detected significant spatio-temporal clusters based on space-time permutation scan statistic model for areas with high rates of emergency medical services requests rates in Mashhad, Iran from June 2018  ... 
doi:10.4081/gh.2021.1043 pmid:34726036 fatcat:zrqtphuwafblli3idkhfsy2aoe

Review of software for space-time disease surveillance

Colin Robertson, Trisalyn A Nelson
2010 International Journal of Health Geographics  
Automated data collection systems enable near-real time analysis of incoming data. This context places a heavy burden on software used for space-time surveillance.  ...  Programs with space-time methods were selected for inclusion, limiting our review to ClusterSeer, SaTScan, GeoSurveillance and the Surveillance package for R.  ...  Acknowledgements This project was supported in part by the Teasdale-Corti Global Health Research Partnership Program, National Sciences and Engineering Research Council of Canada, and GeoConnections Canada  ... 
doi:10.1186/1476-072x-9-16 pmid:20226054 pmcid:PMC2848213 fatcat:pmuhmayf7fcsrpzxdxpa4qw7mm

Fine-Scale Space-Time Cluster Detection of COVID-19 in Mainland China Using Retrospective Analysis

Min Xu, Chunxiang Cao, Xin Zhang, Hui Lin, Zhong Yao, Shaobo Zhong, Zhibin Huang, Duerler Robert Shea
2021 International Journal of Environmental Research and Public Health  
The study uses the retrospective analysis of space-time scan statistic to detect the clusters of COVID-19 in mainland China with a different maximum clustering radius at the family-level based on case  ...  Our analysis of space-time clustering based on the data of cases on the family-level can be reproduced in other countries that are still seriously affected by the epidemic such as the USA, India, and Brazil  ...  Acknowledgments: We thank all the persons involved in response to this outbreak. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18073583 pmid:33808290 fatcat:x3kqhy6e2fgzzgmcxcvx5u674q
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