Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009-2010.
Identifieur interne : 000143 ( Main/Exploration ); précédent : 000142; suivant : 000144Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009-2010.
Auteurs : Sabine Husemann [Allemagne] ; Florian Fischer [Allemagne]Source :
- BMC public health [ 1471-2458 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- statistiques et données numériques : Journaux comme sujet.
- épidémiologie : Allemagne, Grippe humaine.
- Communication, Humains, Risque, Sous-type H1N1 du virus de la grippe A, Vaccination.
English descriptors
- KwdEn :
- MESH :
- epidemiology : Germany, Influenza, Human.
- statistics & numerical data : Newspapers as Topic.
- Communication, Humans, Influenza A Virus, H1N1 Subtype, Risk, Vaccination.
Abstract
BACKGROUND
The H1N1 influenza pandemic occurred in Germany between April 2009 and August 2010. Pandemics often lead to uncertainty amongst the public and so risk communication on health-related issues is one of the key areas of action for health authorities and other healthcare institutions. The mass media may contribute to risk communication, so this study analysed press coverage during the H1N1 pandemic in Germany.
METHODS
A comprehensive analysis of the press coverage during the H1N1 pandemic was conducted in two steps. First, a temporal analysis was carried out of newspaper articles over the entire course of the pandemic, a total of 15,353 articles. The newspaper articles were obtained from the database Nexis. The total number of articles about the influenza pandemic during each individual week was plotted against the number of incident influenza cases during that week. Second, a quantitative content analysis of 140 newspaper articles from selected dates was conducted.
RESULTS
This study indicates that media awareness seems to be strongly related to the actual situation in the pandemic, because changes in the number of infected people were associated with nearly identical changes in the number of newspaper articles. Few articles contained information on the agent of the influenza or support measures. Information on vaccination was included in 32.9% of all articles. Almost half of the articles (48.6%) used case reports. Fear appeals were used in only 10.7% of the newspaper articles; 32.9% of the articles contained the message characteristic "self-efficacy".
CONCLUSIONS
The newspaper articles that were analysed in the content analysis included different information and message characteristics. The extent of information provided differed during the pandemic. As current research indicates, the use of message characteristics such as fear appeals and self-efficacy, which were also included in the analysed newspaper articles, can help to make health messages effective.
DOI: 10.1186/s12889-015-1742-1
PubMed: 25887542
PubMed Central: PMC4404007
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Box 100 131, 33501, Bielefeld</wicri:regionArea><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>Bielefeld</wicri:noRegion></affiliation></author><author><name sortKey="Fischer, Florian" sort="Fischer, Florian" uniqKey="Fischer F" first="Florian" last="Fischer">Florian Fischer</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld, Germany. f.fischer@uni-bielefeld.de.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. 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Box 100 131, 33501, Bielefeld, Germany. Sabine-Husemann@gmx.de.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld</wicri:regionArea><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>Bielefeld</wicri:noRegion></affiliation></author><author><name sortKey="Fischer, Florian" sort="Fischer, Florian" uniqKey="Fischer F" first="Florian" last="Fischer">Florian Fischer</name><affiliation wicri:level="1"><nlm:affiliation>Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld, Germany. f.fischer@uni-bielefeld.de.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld</wicri:regionArea><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>33501, Bielefeld</wicri:noRegion><wicri:noRegion>Bielefeld</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC public health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Communication (MeSH)</term><term>Germany (epidemiology)</term><term>Humans (MeSH)</term><term>Influenza A Virus, H1N1 Subtype (MeSH)</term><term>Influenza, Human (epidemiology)</term><term>Newspapers as Topic (statistics & numerical data)</term><term>Risk (MeSH)</term><term>Vaccination (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Allemagne (épidémiologie)</term><term>Communication (MeSH)</term><term>Grippe humaine (épidémiologie)</term><term>Humains (MeSH)</term><term>Journaux comme sujet (statistiques et données numériques)</term><term>Risque (MeSH)</term><term>Sous-type H1N1 du virus de la grippe A (MeSH)</term><term>Vaccination (MeSH)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Germany</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Newspapers as Topic</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Journaux comme sujet</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Communication</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Risk</term><term>Vaccination</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Communication</term><term>Humains</term><term>Risque</term><term>Sous-type H1N1 du virus de la grippe A</term><term>Vaccination</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The H1N1 influenza pandemic occurred in Germany between April 2009 and August 2010. Pandemics often lead to uncertainty amongst the public and so risk communication on health-related issues is one of the key areas of action for health authorities and other healthcare institutions. The mass media may contribute to risk communication, so this study analysed press coverage during the H1N1 pandemic in Germany.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A comprehensive analysis of the press coverage during the H1N1 pandemic was conducted in two steps. First, a temporal analysis was carried out of newspaper articles over the entire course of the pandemic, a total of 15,353 articles. The newspaper articles were obtained from the database Nexis. The total number of articles about the influenza pandemic during each individual week was plotted against the number of incident influenza cases during that week. Second, a quantitative content analysis of 140 newspaper articles from selected dates was conducted.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>This study indicates that media awareness seems to be strongly related to the actual situation in the pandemic, because changes in the number of infected people were associated with nearly identical changes in the number of newspaper articles. Few articles contained information on the agent of the influenza or support measures. Information on vaccination was included in 32.9% of all articles. Almost half of the articles (48.6%) used case reports. Fear appeals were used in only 10.7% of the newspaper articles; 32.9% of the articles contained the message characteristic "self-efficacy".</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The newspaper articles that were analysed in the content analysis included different information and message characteristics. The extent of information provided differed during the pandemic. As current research indicates, the use of message characteristics such as fear appeals and self-efficacy, which were also included in the analysed newspaper articles, can help to make health messages effective.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">25887542</PMID><DateCompleted><Year>2016</Year><Month>02</Month><Day>08</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><PubDate><Year>2015</Year><Month>Apr</Month><Day>15</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009-2010.</ArticleTitle><Pagination><MedlinePgn>386</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12889-015-1742-1</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The H1N1 influenza pandemic occurred in Germany between April 2009 and August 2010. Pandemics often lead to uncertainty amongst the public and so risk communication on health-related issues is one of the key areas of action for health authorities and other healthcare institutions. The mass media may contribute to risk communication, so this study analysed press coverage during the H1N1 pandemic in Germany.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A comprehensive analysis of the press coverage during the H1N1 pandemic was conducted in two steps. First, a temporal analysis was carried out of newspaper articles over the entire course of the pandemic, a total of 15,353 articles. The newspaper articles were obtained from the database Nexis. The total number of articles about the influenza pandemic during each individual week was plotted against the number of incident influenza cases during that week. Second, a quantitative content analysis of 140 newspaper articles from selected dates was conducted.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">This study indicates that media awareness seems to be strongly related to the actual situation in the pandemic, because changes in the number of infected people were associated with nearly identical changes in the number of newspaper articles. Few articles contained information on the agent of the influenza or support measures. Information on vaccination was included in 32.9% of all articles. Almost half of the articles (48.6%) used case reports. Fear appeals were used in only 10.7% of the newspaper articles; 32.9% of the articles contained the message characteristic "self-efficacy".</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The newspaper articles that were analysed in the content analysis included different information and message characteristics. 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Box 100 131, 33501, Bielefeld, Germany. f.fischer@uni-bielefeld.de.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>04</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003142" MajorTopicYN="N">Communication</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></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="D009524" MajorTopicYN="N">Newspapers as Topic</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012306" MajorTopicYN="N">Risk</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>02</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>04</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>4</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>4</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>2</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25887542</ArticleId><ArticleId IdType="doi">10.1186/s12889-015-1742-1</ArticleId><ArticleId IdType="pii">10.1186/s12889-015-1742-1</ArticleId><ArticleId IdType="pmc">PMC4404007</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Health Psychol. 2008 Jan;27(1):110-5</Citation><ArticleIdList><ArticleId IdType="pubmed">18230021</ArticleId></ArticleIdList></Reference><Reference><Citation>Psychol Rev. 1977 Mar;84(2):191-215</Citation><ArticleIdList><ArticleId IdType="pubmed">847061</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2009;14(34). pii: 19318</Citation><ArticleIdList><ArticleId IdType="pubmed">19712649</ArticleId></ArticleIdList></Reference><Reference><Citation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010 May;53(5):510-9</Citation><ArticleIdList><ArticleId IdType="pubmed">20437020</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2010 Dec 9;15(49). pii: 19741</Citation><ArticleIdList><ArticleId IdType="pubmed">21163179</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2012;17(13). pii: 20131</Citation><ArticleIdList><ArticleId IdType="pubmed">22490383</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country></list><tree><country name="Allemagne"><noRegion><name sortKey="Husemann, Sabine" sort="Husemann, Sabine" uniqKey="Husemann S" first="Sabine" last="Husemann">Sabine Husemann</name></noRegion><name sortKey="Fischer, Florian" sort="Fischer, Florian" uniqKey="Fischer F" first="Florian" last="Fischer">Florian Fischer</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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