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Article: Inter-organisational coordination of H1N1 outbreak: data collection, and analyses of a pilot field study

TitleInter-organisational coordination of H1N1 outbreak: data collection, and analyses of a pilot field study
Authors
Issue Date2014
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/tjds
Citation
Journal of Decision Systems, 2014, v. 23 n. 2, p. 151-166 How to Cite?
AbstractImproving effectiveness in response to H1N1 outbreaks requires us to understand how different organisations within the outbreak coordination network work collectively to share information needed to operate at optimal level. Research for developing reliable framework for the collection of inter-organisational coordinated response data and its impact on decision-making and support system for disease outbreak is lacking to date. We introduce a pilot field study using social networks based approach to capture H1N1 inter-organisational coordination data by introducing qualitative questionnaire and quantitative survey, which resulted in discovering the hidden social networks of coordination. Here, we propose a schema that can be used to classify the quantitative data collection and preparation for further empirical analysis, and suggest that lessons learned from this can be applied to explore possible data collection and analysis for other types of natural and man made crises.
Persistent Identifierhttp://hdl.handle.net/10722/203489

 

DC FieldValueLanguage
dc.contributor.authorBdeir, Fen_US
dc.contributor.authorHossain, Len_US
dc.contributor.authorCrawford, Jen_US
dc.contributor.authorCarlsson, Sen_US
dc.date.accessioned2014-09-19T15:16:54Z-
dc.date.available2014-09-19T15:16:54Z-
dc.date.issued2014en_US
dc.identifier.citationJournal of Decision Systems, 2014, v. 23 n. 2, p. 151-166en_US
dc.identifier.urihttp://hdl.handle.net/10722/203489-
dc.description.abstractImproving effectiveness in response to H1N1 outbreaks requires us to understand how different organisations within the outbreak coordination network work collectively to share information needed to operate at optimal level. Research for developing reliable framework for the collection of inter-organisational coordinated response data and its impact on decision-making and support system for disease outbreak is lacking to date. We introduce a pilot field study using social networks based approach to capture H1N1 inter-organisational coordination data by introducing qualitative questionnaire and quantitative survey, which resulted in discovering the hidden social networks of coordination. Here, we propose a schema that can be used to classify the quantitative data collection and preparation for further empirical analysis, and suggest that lessons learned from this can be applied to explore possible data collection and analysis for other types of natural and man made crises.en_US
dc.languageengen_US
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/tjdsen_US
dc.relation.ispartofJournal of Decision Systemsen_US
dc.rightsThis is an Accepted Manuscript of an article published in Journal of Decision Systems, 2014, v. 23 n. 2, p. 151-166. The article is available online at: http://www.tandfonline.com/doi/abs/10.1080/12460125.2014.896122-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleInter-organisational coordination of H1N1 outbreak: data collection, and analyses of a pilot field studyen_US
dc.typeArticleen_US
dc.identifier.emailHossain, L: lhossain@hku.hken_US
dc.identifier.authorityHossain, L=rp01858en_US
dc.description.naturepostprint-
dc.identifier.doi10.1080/12460125.2014.896122en_US
dc.identifier.hkuros239062en_US
dc.identifier.volume23en_US
dc.identifier.issue2-
dc.identifier.spage151en_US
dc.identifier.epage166en_US

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