Literature DB >> 18937875

Syndromic surveillance: sensitivity and positive predictive value of the case definitions.

G Guasticchi1, P Giorgi Rossi, G Lori, S Genio, F Biagetti, S Gabriele, P Pezzotti, P Borgia.   

Abstract

The aim of the study was to measure the positive predictive value (PPV) and sensitivity of operational case definitions of 13 syndromes in a surveillance system based on the Emergency online database of the Lazio region. The PPVs were calculated using electronic emergency department (ED) medical records and subsequent hospitalizations to ascertain the cases. Sensitivity was calculated using a modified capture-recapture method. The number of cases that fulfilled the case definition criteria in the 2004 database ranged from 27 320 for gastroenteritis to three for haemorrhagic diarrhoea. The PPVs ranged from 99.3 to 20; sepsis, meningitis-like and coma were below 50%. The estimated sensitivity ranged from 90% for coma to 22% for haemorrhagic diarrhoea. Syndromes such as gastroenteritis, where the signs, symptoms, and exposure history provide immediate diagnostic implications fit this surveillance system better than others such as haemorrhagic diarrhoea, where symptoms are not evident and a more precise diagnosis is needed.

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Year:  2008        PMID: 18937875     DOI: 10.1017/S0950268808001374

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  7 in total

1.  Integration of syndromic surveillance data into public health practice at state and local levels in North Carolina.

Authors:  Erika Samoff; Anna Waller; Aaron Fleischauer; Amy Ising; Meredith K Davis; Mike Park; Stephanie W Haas; Lauren DiBiase; Pia D M MacDonald
Journal:  Public Health Rep       Date:  2012 May-Jun       Impact factor: 2.792

2.  Innovation in observation: a vision for early outbreak detection.

Authors:  Nh Fefferman; En Naumova
Journal:  Emerg Health Threats J       Date:  2010-05-20

3.  Evaluation of syndromic algorithms for detecting patients with potentially transmissible infectious diseases based on computerised emergency-department data.

Authors:  Solweig Gerbier-Colomban; Quentin Gicquel; Anne-Laure Millet; Christophe Riou; Jacqueline Grando; Stefan Darmoni; Véronique Potinet-Pagliaroli; Marie-Hélène Metzger
Journal:  BMC Med Inform Decis Mak       Date:  2013-09-03       Impact factor: 2.796

4.  Meeting the International Health Regulations (2005) surveillance core capacity requirements at the subnational level in Europe: the added value of syndromic surveillance.

Authors:  Alexandra Ziemann; Nicole Rosenkötter; Luis Garcia-Castrillo Riesgo; Matthias Fischer; Alexander Krämer; Freddy K Lippert; Gernot Vergeiner; Helmut Brand; Thomas Krafft
Journal:  BMC Public Health       Date:  2015-02-07       Impact factor: 3.295

5.  Symptom profiling for infectious intestinal disease (IID): a secondary data analysis of the IID2 study.

Authors:  A L Donaldson; H E Clough; S J O'Brien; J P Harris
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

6.  Emergency department syndromic surveillance systems: a systematic review.

Authors:  Helen E Hughes; Obaghe Edeghere; Sarah J O'Brien; Roberto Vivancos; Alex J Elliot
Journal:  BMC Public Health       Date:  2020-12-09       Impact factor: 3.295

7.  Event-Based Surveillance During EXPO Milan 2015: Rationale, Tools, Procedures, and Initial Results.

Authors:  Flavia Riccardo; Martina Del Manso; Maria Grazia Caporali; Christian Napoli; Jens P Linge; Eleonora Mantica; Marco Verile; Alessandra Piatti; Maria Grazia Pompa; Loredana Vellucci; Virgilio Costanzo; Anan Judina Bastiampillai; Eugenia Gabrielli; Maria Gramegna; Silvia Declich
Journal:  Health Secur       Date:  2016 May-Jun
  7 in total

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