{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T08:22:01Z","timestamp":1775809321310,"version":"3.50.1"},"reference-count":44,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,1,20]],"date-time":"2019-01-20T00:00:00Z","timestamp":1547942400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Info Libraries J"],"published-print":{"date-parts":[[2019,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Infectious disease outbreaks have the potential to cause a high number of fatalities and are a very serious public health risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Our aim was to utilise an indepth method to study a period of time where the H1N1 Pandemic of 2009 was at its peak.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A data set of<jats:italic>n<\/jats:italic>\u00a0=\u00a0214\u00a0784 tweets was retrieved and filtered, and the method of thematic analysis was used to analyse the data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Eight key themes emerged from the analysis of data: emotion and feeling, health related information, general commentary and resources, media and health organisations, politics, country of origin, food, and humour and\/or sarcasm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>A major novel finding was that due to the name \u2018swine flu\u2019, Twitter users had the belief that pigs and pork could host and\/or transmit the virus. Our paper also considered the methodological implications for the wider field of library and information science as well as specific implications for health information and library workers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Novel insights were derived on how users communicate about disease outbreaks on social media platforms. Our study also provides an innovative methodological contribution because it was found that by utilising an indepth method it was possible to extract greater insight into user communication.<\/jats:p><\/jats:sec>","DOI":"10.1111\/hir.12247","type":"journal-article","created":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T04:54:55Z","timestamp":1548046495000},"page":"60-72","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":86,"title":["Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data"],"prefix":"10.1111","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8923-1865","authenticated-orcid":false,"given":"Wasim","family":"Ahmed","sequence":"first","affiliation":[{"name":"Newcastle Business School Northumbria University Newcastle upon Tyne UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter A.","family":"Bath","sequence":"additional","affiliation":[{"name":"Information School University of Sheffield Sheffield UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Sbaffi","sequence":"additional","affiliation":[{"name":"Information School University of Sheffield Sheffield UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianluca","family":"Demartini","sequence":"additional","affiliation":[{"name":"School of Information Technology and Electrical Engineering University of Queensland Queensland UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,1,20]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"About Twitter(n.d.).About Twitter Inc. 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