Serveur d'exploration sur les pandémies grippales

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009–2010

Identifieur interne : 000B94 ( Main/Exploration ); précédent : 000B93; suivant : 000B95

Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009–2010

Auteurs : Sabine Husemann [Allemagne] ; Florian Fischer [Allemagne]

Source :

RBID : PMC:4404007

Descripteurs français

English descriptors

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.


Url:
DOI: 10.1186/s12889-015-1742-1
PubMed: 25887542
PubMed Central: 4404007


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009–2010</title>
<author>
<name sortKey="Husemann, Sabine" sort="Husemann, Sabine" uniqKey="Husemann S" first="Sabine" last="Husemann">Sabine Husemann</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501 Bielefeld, Germany</nlm:aff>
<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>33501 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:aff id="Aff1">Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501 Bielefeld, Germany</nlm:aff>
<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>33501 Bielefeld</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">25887542</idno>
<idno type="pmc">4404007</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404007</idno>
<idno type="RBID">PMC:4404007</idno>
<idno type="doi">10.1186/s12889-015-1742-1</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">000211</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000211</idno>
<idno type="wicri:Area/Pmc/Curation">000211</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000211</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000396</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000396</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:25887542</idno>
<idno type="wicri:Area/PubMed/Corpus">000666</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000666</idno>
<idno type="wicri:Area/PubMed/Curation">000666</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000666</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000670</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000670</idno>
<idno type="wicri:Area/Ncbi/Merge">001A20</idno>
<idno type="wicri:Area/Ncbi/Curation">001A20</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">001A20</idno>
<idno type="wicri:Area/Main/Merge">000B98</idno>
<idno type="wicri:Area/Main/Curation">000B94</idno>
<idno type="wicri:Area/Main/Exploration">000B94</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009–2010</title>
<author>
<name sortKey="Husemann, Sabine" sort="Husemann, Sabine" uniqKey="Husemann S" first="Sabine" last="Husemann">Sabine Husemann</name>
<affiliation wicri:level="1">
<nlm:aff id="Aff1">Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501 Bielefeld, Germany</nlm:aff>
<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>33501 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:aff id="Aff1">Department of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501 Bielefeld, Germany</nlm:aff>
<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>33501 Bielefeld</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Public Health</title>
<idno type="eISSN">1471-2458</idno>
<imprint>
<date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Communication</term>
<term>Germany (epidemiology)</term>
<term>Humans</term>
<term>Influenza A Virus, H1N1 Subtype</term>
<term>Influenza, Human (epidemiology)</term>
<term>Newspapers as Topic (statistics & numerical data)</term>
<term>Risk</term>
<term>Vaccination</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Allemagne (épidémiologie)</term>
<term>Communication</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Journaux ()</term>
<term>Risque</term>
<term>Sous-type H1N1 du virus de la grippe A</term>
<term>Vaccination</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="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>Journaux</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">
<sec>
<title>Background</title>
<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>
</sec>
<sec>
<title>Methods</title>
<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>
</sec>
<sec>
<title>Results</title>
<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>
</sec>
<sec>
<title>Conclusions</title>
<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>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Krause, G" uniqKey="Krause G">G Krause</name>
</author>
<author>
<name sortKey="Gilsdorf, A" uniqKey="Gilsdorf A">A Gilsdorf</name>
</author>
<author>
<name sortKey="Becker, J" uniqKey="Becker J">J Becker</name>
</author>
<author>
<name sortKey="Bradt, K" uniqKey="Bradt K">K Bradt</name>
</author>
<author>
<name sortKey="Dreweck, C" uniqKey="Dreweck C">C Dreweck</name>
</author>
<author>
<name sortKey="G Rtner, B" uniqKey="G Rtner B">B Gärtner</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gilsdorf, A" uniqKey="Gilsdorf A">A Gilsdorf</name>
</author>
<author>
<name sortKey="Poggensee, G" uniqKey="Poggensee G">G Poggensee</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Buda, S" uniqKey="Buda S">S Buda</name>
</author>
<author>
<name sortKey="Kopke, K" uniqKey="Kopke K">K Köpke</name>
</author>
<author>
<name sortKey="Luchtenberg, M" uniqKey="Luchtenberg M">M Luchtenberg</name>
</author>
<author>
<name sortKey="Schweiger, B" uniqKey="Schweiger B">B Schweiger</name>
</author>
<author>
<name sortKey="Biere, B" uniqKey="Biere B">B Biere</name>
</author>
<author>
<name sortKey="Duwe, S" uniqKey="Duwe S">S Duwe</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zylka Menhorn, V" uniqKey="Zylka Menhorn V">V Zylka-Menhorn</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hyer, Rh" uniqKey="Hyer R">RH Hyer</name>
</author>
<author>
<name sortKey="Covello, Vt" uniqKey="Covello V">VT Covello</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Berry, D" uniqKey="Berry D">D Berry</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wegener, W" uniqKey="Wegener W">W Wegener</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Fruh, H" uniqKey="Fruh H">H Früh</name>
</author>
<author>
<name sortKey="Baumann, E" uniqKey="Baumann E">E Baumann</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Leissner, A" uniqKey="Leissner A">A Leissner</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Arkin, E" uniqKey="Arkin E">E Arkin</name>
</author>
<author>
<name sortKey="Maibach, E" uniqKey="Maibach E">E Maibach</name>
</author>
<author>
<name sortKey="Parvanta, C" uniqKey="Parvanta C">C Parvanta</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Witte, K" uniqKey="Witte K">K Witte</name>
</author>
<author>
<name sortKey="Meyer, G" uniqKey="Meyer G">G Meyer</name>
</author>
<author>
<name sortKey="Martell, Dp" uniqKey="Martell D">DP Martell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Slovic, P" uniqKey="Slovic P">P Slovic</name>
</author>
<author>
<name sortKey="Fischhoff, B" uniqKey="Fischhoff B">B Fischhoff</name>
</author>
<author>
<name sortKey="Lichtenstein, S" uniqKey="Lichtenstein S">S Lichtenstein</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hastall, Mr" uniqKey="Hastall M">MR Hastall</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bandura, A" uniqKey="Bandura A">A Bandura</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zillmann, D" uniqKey="Zillmann D">D Zillmann</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="De Wit, Jb" uniqKey="De Wit J">JB de Wit</name>
</author>
<author>
<name sortKey="Das, E" uniqKey="Das E">E Das</name>
</author>
<author>
<name sortKey="Vet, R" uniqKey="Vet R">R Vet</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Walter, D" uniqKey="Walter D">D Walter</name>
</author>
<author>
<name sortKey="Bohmer, M" uniqKey="Bohmer M">M Böhmer</name>
</author>
<author>
<name sortKey="Reiter, S" uniqKey="Reiter S">S Reiter</name>
</author>
<author>
<name sortKey="Krause, G" uniqKey="Krause G">G Krause</name>
</author>
<author>
<name sortKey="Wichmann, O" uniqKey="Wichmann O">O Wichmann</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Remington, Pl" uniqKey="Remington P">PL Remington</name>
</author>
<author>
<name sortKey="Riesenberg, La" uniqKey="Riesenberg L">LA Riesenberg</name>
</author>
<author>
<name sortKey="Needham, Dl" uniqKey="Needham D">DL Needham</name>
</author>
<author>
<name sortKey="Siegel, P" uniqKey="Siegel P">P Siegel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gunther, L" uniqKey="Gunther L">L Günther</name>
</author>
<author>
<name sortKey="Milde, J" uniqKey="Milde J">J Milde</name>
</author>
<author>
<name sortKey="Ruhrmann, G" uniqKey="Ruhrmann G">G Ruhrmann</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Smith, W" uniqKey="Smith W">W Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Berry, D" uniqKey="Berry D">D Berry</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nelson, De" uniqKey="Nelson D">DE Nelson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="French, S" uniqKey="French S">S French</name>
</author>
<author>
<name sortKey="Maule, J" uniqKey="Maule J">J Maule</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<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)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B94 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000B94 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     PMC:4404007
   |texte=   Content analysis of press coverage during the H1N1 influenza pandemic in Germany 2009–2010
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:25887542" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1 

Wicri

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021