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Conference Paper: Connecting the dots of ebola spread dynamics

TitleConnecting the dots of ebola spread dynamics
Authors
Issue Date2016
PublisherFrontiers in Artificial Intelligence.
Citation
The 2016 Open Conference of the IFIP WG 8.3, University College Cork, Ireland, UK., 22-24 June 2016. How to Cite?
AbstractWe suggest that effective management of Ebola disaster and public health preparedness needs to focus on connecting the dots among different originating points of the spread using locally situated knowledge through community partnership networks so that the wider transmission to other geographic locations can be managed effectively and in a timely manner. Effective management of outbreaks, like the current West African 2014 Ebola epidemic, is dependent on public health preparedness. In this study, a systematic analysis of the spread during the months of March to October 2014 was performed using data from the Program for Monitoring Emerging Diseases (ProMED) and the Factiva database. This study aims to draw network connections of individuals/groups from a localized to a globalized transmission of Ebola using reported suspected/probable/confirmed cases at different locations around the world. Public health preparedness can be strengthened by understanding the social network connections between responders (such as local health authorities) and spreaders (infected individuals and groups). Using data from ProMED and other media could be useful in improving the individual and organizational networks (i.e. forming stronger community partnerships) in developing settings to respond to an outbreak before an International Health Emergency has to be declared.
DescriptionConference Theme: Big Data, Better Decisions, Brighter Future
Parallel Session: B - Decision Making for Epidemics & Emergencies
Persistent Identifierhttp://hdl.handle.net/10722/226529

 

DC FieldValueLanguage
dc.contributor.authorHossain, L-
dc.contributor.authorKong, YMF-
dc.contributor.authorWigand, RT-
dc.date.accessioned2016-06-17T07:44:43Z-
dc.date.available2016-06-17T07:44:43Z-
dc.date.issued2016-
dc.identifier.citationThe 2016 Open Conference of the IFIP WG 8.3, University College Cork, Ireland, UK., 22-24 June 2016.-
dc.identifier.urihttp://hdl.handle.net/10722/226529-
dc.descriptionConference Theme: Big Data, Better Decisions, Brighter Future-
dc.descriptionParallel Session: B - Decision Making for Epidemics & Emergencies-
dc.description.abstractWe suggest that effective management of Ebola disaster and public health preparedness needs to focus on connecting the dots among different originating points of the spread using locally situated knowledge through community partnership networks so that the wider transmission to other geographic locations can be managed effectively and in a timely manner. Effective management of outbreaks, like the current West African 2014 Ebola epidemic, is dependent on public health preparedness. In this study, a systematic analysis of the spread during the months of March to October 2014 was performed using data from the Program for Monitoring Emerging Diseases (ProMED) and the Factiva database. This study aims to draw network connections of individuals/groups from a localized to a globalized transmission of Ebola using reported suspected/probable/confirmed cases at different locations around the world. Public health preparedness can be strengthened by understanding the social network connections between responders (such as local health authorities) and spreaders (infected individuals and groups). Using data from ProMED and other media could be useful in improving the individual and organizational networks (i.e. forming stronger community partnerships) in developing settings to respond to an outbreak before an International Health Emergency has to be declared.-
dc.languageeng-
dc.publisherFrontiers in Artificial Intelligence.-
dc.relation.ispartofOpen Conference of the IFIP WG 8.3-
dc.titleConnecting the dots of ebola spread dynamics-
dc.typeConference_Paper-
dc.identifier.emailHossain, L: lhossain@hku.hk-
dc.identifier.emailKong, YMF: fymkong@hku.hk-
dc.identifier.authorityHossain, L=rp01858-
dc.identifier.hkuros258594-

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