Literature DB >> 23902949

Using public health scenarios to predict the utility of a national syndromic surveillance programme during the 2012 London Olympic and Paralympic Games.

R A Morbey1, A J Elliot1, A Charlett2, S Ibbotson3, N Q Verlander2, S Leach4, I Hall4, I Barrass4, M Catchpole5, B McCloskey6, B Said7, A Walsh7, R Pebody8, G E Smith1.   

Abstract

During 2012 real-time syndromic surveillance formed a key part of the daily public health surveillance for the London Olympic and Paralympic Games. It was vital that these systems were evaluated prior to the Games; in particular what types and scales of incidents could and could not be detected. Different public health scenarios were created covering a range of potential incidents that the Health Protection Agency would require syndromic surveillance to rapidly detect and monitor. For the scenarios considered it is now possible to determine what is likely to be detectable and how incidents are likely to present using the different syndromic systems. Small localized incidents involving food poisoning are most likely to be detected the next day via emergency department surveillance, while a new strain of influenza is more likely to be detected via GP or telephone helpline surveillance, several weeks after the first seed case is introduced.

Entities:  

Mesh:

Year:  2013        PMID: 23902949      PMCID: PMC9151140          DOI: 10.1017/S095026881300188X

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  3 in total

1.  Assessment of syndromic surveillance in Europe.

Authors: 
Journal:  Lancet       Date:  2011-11-26       Impact factor: 79.321

2.  Can syndromic surveillance data detect local outbreaks of communicable disease? A model using a historical cryptosporidiosis outbreak.

Authors:  D L Cooper; N Q Verlander; G E Smith; A Charlett; E Gerard; L Willocks; S O'Brien
Journal:  Epidemiol Infect       Date:  2006-02       Impact factor: 2.451

3.  Longitudinal study of infectious intestinal disease in the UK (IID2 study): incidence in the community and presenting to general practice.

Authors:  Clarence C Tam; Laura C Rodrigues; Laura Viviani; Julie P Dodds; Meirion R Evans; Paul R Hunter; Jim J Gray; Louise H Letley; Greta Rait; David S Tompkins; Sarah J O'Brien
Journal:  Gut       Date:  2011-06-27       Impact factor: 23.059

  3 in total
  5 in total

1.  Water, Sanitation, and Hygiene at the World's Largest Mass Gathering.

Authors:  Michael Vortmann; Satchit Balsari; Susan R Holman; P Gregg Greenough
Journal:  Curr Infect Dis Rep       Date:  2015-02       Impact factor: 3.725

2.  Evaluating multi-purpose syndromic surveillance systems - a complex problem.

Authors:  Roger Morbey; Gillian Smith; Isabel Oliver; Obaghe Edeghere; Iain Lake; Richard Pebody; Dan Todkill; Noel McCarthy; Alex J Elliot
Journal:  Online J Public Health Inform       Date:  2021-12-24

3.  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

4.  A methodological framework for the evaluation of syndromic surveillance systems: a case study of England.

Authors:  Felipe J Colón-González; Iain R Lake; Roger A Morbey; Alex J Elliot; Richard Pebody; Gillian E Smith
Journal:  BMC Public Health       Date:  2018-04-24       Impact factor: 3.295

5.  Incorporating calendar effects to predict influenza seasonality in Milwaukee, Wisconsin.

Authors:  Ryan B Simpson; Tania M Alarcon Falconi; Aishwarya Venkat; Kenneth H H Chui; Jose Navidad; Yuri N Naumov; Jack Gorski; Sanjib Bhattacharyya; Elena N Naumova
Journal:  Epidemiol Infect       Date:  2019-09-11       Impact factor: 2.451

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.