Literature DB >> 12791779

Clinical evaluation of the Emergency Medical Services (EMS) ambulance dispatch-based syndromic surveillance system, New York City.

Jane Greenko1, Farzad Mostashari, Annie Fine, Marci Layton.   

Abstract

Since 1998, the New York City Department of Health has used New York City Emergency Medical Services (EMS) ambulance dispatch data to monitor for a communitywide rise in influenzalike illness (ILI) as an early detection system for bioterrorism. A clinical validation study was conducted during peak influenza season at six New York City emergency departments (EDs) to compare patients with ILI brought in by ambulance with other patients to examine potential biases associated with ambulance dispatch-based surveillance. We also examined the utility of 4 EMS call types (selected from 52) for case detection of ILI. Clinical ILI was defined as fever (temperature higher than 100 degrees F) on history or exam, along with either cough or sore throat. Of the 2,294 ED visits reviewed, 522 patients (23%) met the case definition for ILI, 64 (12%) of whom arrived by ambulance. Patients with ILI brought in by ambulance were older, complained of more severe symptoms, and were more likely to undergo diagnostic testing, be diagnosed with pneumonia, and be admitted to the hospital than patients who arrived by other means. The median duration of symptoms prior to presenting to the ED, however, was the same for both groups (48 hours). The selected call types had a sensitivity of 58% for clinical ILI, and a predictive value positive of 22%. Individuals with symptoms consistent with the prodrome of inhalational anthrax were likely to utilize the EMS system and usually did so early in the course of illness. While EMS-based surveillance is more sensitive for severe illness and for illness affecting older individuals, there is not necessarily a loss of timeliness associated with EMS-based (versus ED-based) surveillance.

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Year:  2003        PMID: 12791779      PMCID: PMC3456558          DOI: 10.1007/pl00022315

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  13 in total

1.  Recognition of illness associated with the intentional release of a biologic agent.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2001-10-19       Impact factor: 17.586

2.  Roundtable on bioterrorism detection: information system-based surveillance.

Authors:  William B Lober; Bryant Thomas Karras; Michael M Wagner; J Marc Overhage; Arthur J Davidson; Hamish Fraser; Lisa J Trigg; Kenneth D Mandl; Jeremy U Espino; Fu-Chiang Tsui
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

3.  Draft framework for evaluating syndromic surveillance systems.

Authors:  Daniel M Sosin
Journal:  J Urban Health       Date:  2003-06       Impact factor: 3.671

4.  Syndromic surveillance for bioterrorism following the attacks on the World Trade Center--New York City, 2001.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2002-09-11       Impact factor: 17.586

5.  Use of ambulance dispatch data as an early warning system for communitywide influenzalike illness, New York City.

Authors:  Farzad Mostashari; Annie Fine; Debjani Das; John Adams; Marcelle Layton
Journal:  J Urban Health       Date:  2003-06       Impact factor: 3.671

Review 6.  Clinical recognition and management of patients exposed to biological warfare agents.

Authors:  D R Franz; P B Jahrling; A M Friedlander; D J McClain; D L Hoover; W R Bryne; J A Pavlin; G W Christopher; E M Eitzen
Journal:  JAMA       Date:  1997-08-06       Impact factor: 56.272

7.  Public health assessment of potential biological terrorism agents.

Authors:  Lisa D Rotz; Ali S Khan; Scott R Lillibridge; Stephen M Ostroff; James M Hughes
Journal:  Emerg Infect Dis       Date:  2002-02       Impact factor: 6.883

8.  Modeling potential responses to smallpox as a bioterrorist weapon.

Authors:  M I Meltzer; I Damon; J W LeDuc; J D Millar
Journal:  Emerg Infect Dis       Date:  2001 Nov-Dec       Impact factor: 6.883

Review 9.  The economic impact of a bioterrorist attack: are prevention and postattack intervention programs justifiable?

Authors:  A F Kaufmann; M I Meltzer; G P Schmid
Journal:  Emerg Infect Dis       Date:  1997 Apr-Jun       Impact factor: 6.883

10.  Clinical and epidemiologic principles of anthrax.

Authors:  T J Cieslak; E M Eitzen
Journal:  Emerg Infect Dis       Date:  1999 Jul-Aug       Impact factor: 6.883

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  13 in total

1.  A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza.

Authors:  Mojdeh Mohtashemi; Peter Szolovits; James Dunyak; Kenneth D Mandl
Journal:  J Theor Biol       Date:  2006-03-23       Impact factor: 2.691

2.  Methods for detecting seasonal influenza epidemics using a school absenteeism surveillance system.

Authors:  Madeline A Ward; Anu Stanley; Lorna E Deeth; Rob Deardon; Zeny Feng; Lise A Trotz-Williams
Journal:  BMC Public Health       Date:  2019-09-05       Impact factor: 3.295

3.  Implementing syndromic surveillance: a practical guide informed by the early experience.

Authors:  Kenneth D Mandl; J Marc Overhage; Michael M Wagner; William B Lober; Paola Sebastiani; Farzad Mostashari; Julie A Pavlin; Per H Gesteland; Tracee Treadwell; Eileen Koski; Lori Hutwagner; David L Buckeridge; Raymond D Aller; Shaun Grannis
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

4.  Syndromic surveillance for influenzalike illness in ambulatory care network.

Authors:  Benjamin Miller; Heidi Kassenborg; William Dunsmuir; Jayne Griffith; Mansour Hadidi; James D Nordin; Richard Danila
Journal:  Emerg Infect Dis       Date:  2004-10       Impact factor: 6.883

5.  The new school absentees reporting system for pandemic influenza A/H1N1 2009 infection in Japan.

Authors:  Takeshi Suzue; Yoichi Hoshikawa; Shuzo Nishihara; Ai Fujikawa; Nobuyuki Miyatake; Noriko Sakano; Takeshi Yoda; Akira Yoshioka; Tomohiro Hirao
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

6.  A space-time permutation scan statistic for disease outbreak detection.

Authors:  Martin Kulldorff; Richard Heffernan; Jessica Hartman; Renato Assunção; Farzad Mostashari
Journal:  PLoS Med       Date:  2005-02-15       Impact factor: 11.069

Review 7.  Syndromic surveillance for influenza in the emergency department-A systematic review.

Authors:  Katherine M Hiller; Lisa Stoneking; Alice Min; Suzanne Michelle Rhodes
Journal:  PLoS One       Date:  2013-09-13       Impact factor: 3.240

8.  Potential demand for respirators and surgical masks during a hypothetical influenza pandemic in the United States.

Authors:  Cristina Carias; Gabriel Rainisch; Manjunath Shankar; Bishwa B Adhikari; David L Swerdlow; William A Bower; Satish K Pillai; Martin I Meltzer; Lisa M Koonin
Journal:  Clin Infect Dis       Date:  2015-05-01       Impact factor: 9.079

9.  Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions.

Authors:  Nicole Rosenkötter; Alexandra Ziemann; Luis Garcia-Castrillo Riesgo; Jean Bernard Gillet; Gernot Vergeiner; Thomas Krafft; Helmut Brand
Journal:  BMC Public Health       Date:  2013-10-01       Impact factor: 3.295

10.  Daily volume of cases in emergency call centers: construction and validation of a predictive model.

Authors:  Damien Viglino; Aurelien Vesin; Stephane Ruckly; Xavier Morelli; Rémi Slama; Guillaume Debaty; Vincent Danel; Maxime Maignan; Jean-François Timsit
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-08-29       Impact factor: 2.953

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