The swine flu emergency department: the relationship between media attention for the swine flu and registrations in an emergency medicine unit.
Identifieur interne : 000033 ( Main/Exploration ); précédent : 000032; suivant : 000034The swine flu emergency department: the relationship between media attention for the swine flu and registrations in an emergency medicine unit.
Auteurs : Sara Nelissen [Belgique] ; Kathleen Beullens [Belgique] ; Marc Sabbe [Belgique] ; Jan Van Den Bulck [Belgique]Source :
- Prehospital and disaster medicine [ 1049-023X ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- epidemiology : Belgium, Influenza, Human.
- statistics & numerical data : Emergency Service, Hospital.
- Disease Outbreaks, Female, Humans, Influenza A Virus, H1N1 Subtype, Male, Newspapers as Topic, Prevalence.
Abstract
INTRODUCTION
When the world is faced with a new potential pandemic outbreak, the media report heavily about it. Media are an important disseminator of health threat information. This study examined potential media effects during the 2009 outbreak of A/H1N1 influenza.
HYPOTHESIS
To examine the relationship between media reports of the swine flu and self-registrations in an emergency department (ED) of a tertiary hospital in Flanders, Belgium.
METHODS
All articles concerning swine flu published in seven Flemish newspapers were selected during the biggest flu peak in Belgium. This number was compared with the number of patients who presented themselves with a self-diagnosis of swine flu symptoms during the same time frame. The Pearson's correlation coefficient was selected to determine the relationship. The cross-correlation function determined the direction of this relationship.
RESULTS
A strong correlation was found between the number of potential patients (n = 308) and the number of articles in the Flemish press (n = 1657). The number of patients was the leading indicator; increases in the volume of written press followed increases in the number of patients.
CONCLUSION
Media reporting is extensive when a new infectious disease breaks out and intensifies when it is feared that pandemic levels are reached. This was also the case with the swine flu outbreak in Flanders. These findings suggest that a rise in the number of media reports follows a rise in the number of cases, rather than the reverse.
DOI: 10.1017/S1049023X14000247
PubMed: 24642229
Affiliations:
Links toward previous steps (curation, corpus...)
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A</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b></p><p>When the world is faced with a new potential pandemic outbreak, the media report heavily about it. Media are an important disseminator of health threat information. This study examined potential media effects during the 2009 outbreak of A/H1N1 influenza.</p></div><div type="abstract" xml:lang="en"><p><b>HYPOTHESIS</b></p><p>To examine the relationship between media reports of the swine flu and self-registrations in an emergency department (ED) of a tertiary hospital in Flanders, Belgium.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>All articles concerning swine flu published in seven Flemish newspapers were selected during the biggest flu peak in Belgium. This number was compared with the number of patients who presented themselves with a self-diagnosis of swine flu symptoms during the same time frame. The Pearson's correlation coefficient was selected to determine the relationship. The cross-correlation function determined the direction of this relationship.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>A strong correlation was found between the number of potential patients (n = 308) and the number of articles in the Flemish press (n = 1657). The number of patients was the leading indicator; increases in the volume of written press followed increases in the number of patients.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Media reporting is extensive when a new infectious disease breaks out and intensifies when it is feared that pandemic levels are reached. This was also the case with the swine flu outbreak in Flanders. These findings suggest that a rise in the number of media reports follows a rise in the number of cases, rather than the reverse.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24642229</PMID><DateCompleted><Year>2014</Year><Month>06</Month><Day>30</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1049-023X</ISSN><JournalIssue CitedMedium="Print"><Volume>29</Volume><Issue>2</Issue><PubDate><Year>2014</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Prehospital and disaster medicine</Title><ISOAbbreviation>Prehosp Disaster Med</ISOAbbreviation></Journal><ArticleTitle>The swine flu emergency department: the relationship between media attention for the swine flu and registrations in an emergency medicine unit.</ArticleTitle><Pagination><MedlinePgn>141-5</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1017/S1049023X14000247</ELocationID><Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">When the world is faced with a new potential pandemic outbreak, the media report heavily about it. Media are an important disseminator of health threat information. This study examined potential media effects during the 2009 outbreak of A/H1N1 influenza.</AbstractText><AbstractText Label="HYPOTHESIS" NlmCategory="OBJECTIVE">To examine the relationship between media reports of the swine flu and self-registrations in an emergency department (ED) of a tertiary hospital in Flanders, Belgium.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">All articles concerning swine flu published in seven Flemish newspapers were selected during the biggest flu peak in Belgium. This number was compared with the number of patients who presented themselves with a self-diagnosis of swine flu symptoms during the same time frame. The Pearson's correlation coefficient was selected to determine the relationship. The cross-correlation function determined the direction of this relationship.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A strong correlation was found between the number of potential patients (n = 308) and the number of articles in the Flemish press (n = 1657). The number of patients was the leading indicator; increases in the volume of written press followed increases in the number of patients.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Media reporting is extensive when a new infectious disease breaks out and intensifies when it is feared that pandemic levels are reached. This was also the case with the swine flu outbreak in Flanders. These findings suggest that a rise in the number of media reports follows a rise in the number of cases, rather than the reverse.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nelissen</LastName><ForeName>Sara</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>1 University of Leuven, School for Mass Communication Research, Leuven, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Beullens</LastName><ForeName>Kathleen</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>1 University of Leuven, School for Mass Communication Research, Leuven, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sabbe</LastName><ForeName>Marc</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>2 University of Leuven, University Hospitals, Emergency Medicine, Leuven, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van den Bulck</LastName><ForeName>Jan</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>1 University of Leuven, School for Mass Communication Research, Leuven, Belgium.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>03</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Prehosp Disaster Med</MedlineTA><NlmUniqueID>8918173</NlmUniqueID><ISSNLinking>1049-023X</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001530" MajorTopicYN="N">Belgium</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004636" MajorTopicYN="N">Emergency Service, Hospital</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009524" MajorTopicYN="Y">Newspapers as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>3</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>3</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>7</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24642229</ArticleId><ArticleId IdType="pii">S1049023X14000247</ArticleId><ArticleId IdType="doi">10.1017/S1049023X14000247</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Belgique</li></country></list><tree><country name="Belgique"><noRegion><name sortKey="Nelissen, Sara" sort="Nelissen, Sara" uniqKey="Nelissen S" first="Sara" last="Nelissen">Sara Nelissen</name></noRegion><name sortKey="Beullens, Kathleen" sort="Beullens, Kathleen" uniqKey="Beullens K" first="Kathleen" last="Beullens">Kathleen Beullens</name><name sortKey="Sabbe, Marc" sort="Sabbe, Marc" uniqKey="Sabbe M" first="Marc" last="Sabbe">Marc Sabbe</name><name sortKey="Van Den Bulck, Jan" sort="Van Den Bulck, Jan" uniqKey="Van Den Bulck J" first="Jan" last="Van Den Bulck">Jan Van Den Bulck</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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