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Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data
2011
Statistics in Medicine
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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
2016
Emerging Infectious Diseases
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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
2011
International Journal of Health Geographics
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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
2018
International Journal of Health Geographics
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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
2007
Statistics in Medicine
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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)
2014
BMC Research Notes
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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
2017
PLoS ONE
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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
2009
International Journal of Forecasting
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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
2021
Statistics Survey
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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
2022
Computers Materials & Continua
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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
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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]
2017
arXiv
pre-print
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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
2021
Geospatial Health
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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
2010
International Journal of Health Geographics
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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
2021
International Journal of Environmental Research and Public Health
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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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