TY - JOUR
T1 - Inter-organisational coordination of H1N1 outbreak
T2 - data collection, and analyses of a pilot field study
AU - Bdeir, Fadl
AU - Hossain, Liaquat
AU - Crawford, John
AU - Carlsson, Sven
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Improving 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.
AB - Improving 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.
KW - H1N1 outbreak coordination
KW - inter-organisational coordination
KW - network analysis methods
KW - Swine flu management
UR - http://www.scopus.com/inward/record.url?scp=84925935085&partnerID=8YFLogxK
U2 - 10.1080/12460125.2014.896122
DO - 10.1080/12460125.2014.896122
M3 - Article
AN - SCOPUS:84925935085
VL - 23
SP - 151
EP - 166
JO - Journal of Decision Systems
JF - Journal of Decision Systems
SN - 1246-0125
IS - 2
ER -