C. Rodriguez, J. Baseman, D. Zerr, J. Englund, I. Painter, A. Baer, T. Koepsell, D. Yanez, J. Duchin
{"title":"The validity of emergency department influenza-like illness (ILI) for laboratory-confirmed influenza in children","authors":"C. Rodriguez, J. Baseman, D. Zerr, J. Englund, I. Painter, A. Baer, T. Koepsell, D. Yanez, J. Duchin","doi":"10.3402/EHTJ.V4I0.11156","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11156","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83786504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Rumoro, Julio C. Silva, Marilyn M. Hallock, S. Shah, G. Gibbs, M. Waddell
{"title":"Disease model fitness and threshold creation for surveillance of infectious diseases","authors":"D. Rumoro, Julio C. Silva, Marilyn M. Hallock, S. Shah, G. Gibbs, M. Waddell","doi":"10.3402/EHTJ.V4I0.11125","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11125","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89148900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction Commonly used syndromic surveillance methods based on the spatial scan statistic (1) first classify disease cases into broad, preexisting symptom categories (prodromes) such as respiratory or fever, then detect spatial clusters where the recent case count of some prodrome is unexpectedly high. Novel emerging infections may have very specific and anomalous symptoms, which should be easy to detect even if the number of cases is small. However, typical spatial scan approaches may fail to detect a novel outbreak if the resulting cases are not classified to any known prodrome. Alternatively, detection may be delayed because cases are lumped into an overly broad prodrome, diluting the outbreak signal.
{"title":"Detecting previously unseen outbreaks with novel symptom patterns","authors":"Yandong Liu, Daniel B. Neill","doi":"10.3402/EHTJ.V4I0.11074","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11074","url":null,"abstract":"Introduction Commonly used syndromic surveillance methods based on the spatial scan statistic (1) first classify disease cases into broad, preexisting symptom categories (prodromes) such as respiratory or fever, then detect spatial clusters where the recent case count of some prodrome is unexpectedly high. Novel emerging infections may have very specific and anomalous symptoms, which should be easy to detect even if the number of cases is small. However, typical spatial scan approaches may fail to detect a novel outbreak if the resulting cases are not classified to any known prodrome. Alternatively, detection may be delayed because cases are lumped into an overly broad prodrome, diluting the outbreak signal.","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89776427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Wiemken, P. Peyrani, K. Bryant, F. Arnold, R. Nakamatsu, Jennifer Simms, Sheryl Stockton, Rich Pinson, C. Jonsson, J. Ramirez
{"title":"Severe influenza Pneumonia surveillance: clinical and translational epidemiology","authors":"T. Wiemken, P. Peyrani, K. Bryant, F. Arnold, R. Nakamatsu, Jennifer Simms, Sheryl Stockton, Rich Pinson, C. Jonsson, J. Ramirez","doi":"10.3402/EHTJ.V4I0.11051","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11051","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"208 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80529692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David J. Swenson, Xiaohui Zhang, Stephanie D. Miller, Kenneth Dufault, Christopher Taylor, Kim Fallon, E. Daly
Introduction In response to the terrorist attack of September 11, 2001, the NH Department of Health and Human Services (NH DHHS) engaged state and external partners in the design of an early warning surveillance system to support bioterrorism and emergency preparedness. Initially, NH DHHS began collecting four syndrome counts from 13 hospital emergency departments (EDs) by fax. Automation began in 2002, when an over-thecounter (OTC) syndromic surveillance pilot system was implemented by Scientific Technologies Corporation (STC). In 2003 2004 this system, the Syndromic Tracking and Encounter Management System (STEMS), was expanded to include school absentee and occupational health reports. Over time, an internal death data application was automated to query vital record deaths, and in 2005, a real-time ED surveillance pilot, the Automated Hospital ED Data System (AHEDD), was developed by STC to replace manual ED surveillance. Over the past decade, NH continued to expand the original concept with innovative approaches to identify undetected or underreported disease outbreaks.
{"title":"Ten years of syndromic surveillance in New Hampshire: innovation, experience and outcomes","authors":"David J. Swenson, Xiaohui Zhang, Stephanie D. Miller, Kenneth Dufault, Christopher Taylor, Kim Fallon, E. Daly","doi":"10.3402/EHTJ.V4I0.11173","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11173","url":null,"abstract":"Introduction In response to the terrorist attack of September 11, 2001, the NH Department of Health and Human Services (NH DHHS) engaged state and external partners in the design of an early warning surveillance system to support bioterrorism and emergency preparedness. Initially, NH DHHS began collecting four syndrome counts from 13 hospital emergency departments (EDs) by fax. Automation began in 2002, when an over-thecounter (OTC) syndromic surveillance pilot system was implemented by Scientific Technologies Corporation (STC). In 2003 2004 this system, the Syndromic Tracking and Encounter Management System (STEMS), was expanded to include school absentee and occupational health reports. Over time, an internal death data application was automated to query vital record deaths, and in 2005, a real-time ED surveillance pilot, the Automated Hospital ED Data System (AHEDD), was developed by STC to replace manual ED surveillance. Over the past decade, NH continued to expand the original concept with innovative approaches to identify undetected or underreported disease outbreaks.","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81655797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Lombardo, William Stephens, Taha A. Kass-Hout, Wayne Loschen, R. Wojcik
{"title":"A demonstration of meaningfully using the ISDS-recommended data elements","authors":"J. Lombardo, William Stephens, Taha A. Kass-Hout, Wayne Loschen, R. Wojcik","doi":"10.3402/ehtj.v4i0.11182","DOIUrl":"https://doi.org/10.3402/ehtj.v4i0.11182","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76443973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electronic tracking of influenza-like illness incidence in an outpatient population","authors":"M. Buck, C. Pulgarin, Winfred Wu","doi":"10.3402/EHTJ.V4I0.11062","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11062","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"2015 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73392112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Burkom, Y. Elbert, Vivian Hung, A. Wendelboe, Chris Lee, R. Wojcik, P. Schirmer, Cynthia A. Lucero, M. Holodniy
{"title":"Hierarchical filtering of ESSENCE for routine, distributed disease monitoring by the Veterans Health Administration","authors":"H. Burkom, Y. Elbert, Vivian Hung, A. Wendelboe, Chris Lee, R. Wojcik, P. Schirmer, Cynthia A. Lucero, M. Holodniy","doi":"10.3402/ehtj.v4i0.11158","DOIUrl":"https://doi.org/10.3402/ehtj.v4i0.11158","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79307249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Web search query data to monitor dengue epidemics: a new model for dengue surveillance","authors":"Emily H. Chan, V. Sahai, C. Conrad, J. Brownstein","doi":"10.3402/EHTJ.V4I0.11135","DOIUrl":"https://doi.org/10.3402/EHTJ.V4I0.11135","url":null,"abstract":"","PeriodicalId":72898,"journal":{"name":"Emerging health threats journal","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79633611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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