Literature DB >> 22710009

Volume of print media coverage and diagnostic testing for influenza A(H1N1)pdm09 virus during the early phase of the 2009 pandemic.

B Olowokure1, O Odedere, A J Elliot, A Awofisayo, E Smit, A Fleming, H Osman.   

Abstract

BACKGROUND: Impact of an infectious disease on public health diagnostic health services may be affected by the volume of media coverage which can amplify risk perception and increase demand for services.
OBJECTIVES: To examine the association between volume of newspaper reports and laboratory testing for influenza A(H1N1)pdm09 in one English health region during the early phase of the pandemic. STUDY
DESIGN: Cross-sectional retrospective review identifying newspaper articles on A(H1N1)pdm09 in major regional (sub-national) newspapers from 27 April 2009 through 5 July 2009, and comparing the weekly frequency of articles with the weekly number, and positivity rate, of laboratory-confirmed cases of A(H1N1)pdm09 during the same time period.
RESULTS: A positive correlation (r=0.67; p=0.02) was seen between the volume of school-related articles and the number of laboratory-confirmed cases. Increased testing during the most intense period of the pandemic was mainly seen in school-aged children (5-15 years) and adults (≥16 years). Adults accounted for the highest number of tests, but had the lowest positivity rates, which were highest among school-aged children. As the volume of media coverage decreased this was followed one week later by a fall in the number of tests and positivity rates in each age-group.
CONCLUSION: The results presented suggest a temporal association between volume of media reporting and number of laboratory tests. The increased volume of media reporting, in particular the intense school-related coverage, may have raised population concern leading to an increased demand for diagnostic testing. These results have potential implications for future pandemic preparedness planning.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22710009     DOI: 10.1016/j.jcv.2012.05.013

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  8 in total

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Review 2.  A Conceptual Framework for the Evaluation of Emergency Risk Communications.

Authors:  Elena Savoia; Leesa Lin; Gaya M Gamhewage
Journal:  Am J Public Health       Date:  2017-09       Impact factor: 9.308

Review 3.  What have we learned about communication inequalities during the H1N1 pandemic: a systematic review of the literature.

Authors:  Leesa Lin; Elena Savoia; Foluso Agboola; Kasisomayajula Viswanath
Journal:  BMC Public Health       Date:  2014-05-21       Impact factor: 3.295

4.  The potential impact of media reporting in syndromic surveillance: an example using a possible Cryptosporidium exposure in North West England, August to September 2015.

Authors:  Alex J Elliot; Helen E Hughes; John Astbury; Grainne Nixon; Kate Brierley; Roberto Vivancos; Thomas Inns; Valerie Decraene; Katherine Platt; Iain Lake; Sarah J O'Brien; Gillian E Smith
Journal:  Euro Surveill       Date:  2016-10-13

5.  The Effects of Tobacco Coverage in the Public Communication Environment on Young People's Decisions to Smoke Combustible Cigarettes.

Authors:  Robert Hornik; Steven Binns; Sherry Emery; Veronica Maidel Epstein; Michelle Jeong; Kwanho Kim; Yoonsang Kim; Elissa C Kranzler; Emma Jesch; Stella Juhyun Lee; Allyson V Levin; Jiaying Liu; Matthew B O'Donnell; Leeann Siegel; Hy Tran; Sharon Williams; Qinghua Yang; Laura A Gibson
Journal:  J Commun       Date:  2022-01-13

6.  Estimated paediatric mortality associated with influenza virus infections, United States, 2003-2010.

Authors:  K K Wong; P Cheng; I Foppa; S Jain; A M Fry; L Finelli
Journal:  Epidemiol Infect       Date:  2014-05-15       Impact factor: 4.434

7.  Comparison of five influenza surveillance systems during the 2009 pandemic and their association with media attention.

Authors:  Marit M A de Lange; Adam Meijer; Ingrid H M Friesema; Gé A Donker; Carl E Koppeschaar; Mariëtte Hooiveld; Nel Ruigrok; Wim van der Hoek
Journal:  BMC Public Health       Date:  2013-09-24       Impact factor: 3.295

8.  Lattice model for influenza spreading with spontaneous behavioral changes.

Authors:  Annalisa Fierro; Antonella Liccardo
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

  8 in total

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