Subgroup Analysis of an Epidemic Response Network of Organizations: 2015 MERS Outbreak in Korea

This paper analyzes subgroups in an epidemic response network to gain decision-making insights. We collected relational data among organizations in news articles during the 2015 Middle East Respiratory Syndrome (MERS) Coronavirus outbreak in South Korea. The MERS response network consisted of a total of 998 organizations and 1,968 edges. We identified and examined 28 subgroups. We found that the subgroup structure can be explained by three factors: activeness in the response, geographical location, and organizational function. Two core subgroups that actively responded to the outbreak consisted of heterogeneous organizations at multiple governmental levels and in multiple sectors. This implies that subgroups of heterogeneous organizations are worthy of greater attention than are homogeneous subgroups in the epidemic response network.

[1]  A. Boin,et al.  Organising for Effective Emergency Management: Lessons from Research , 2010 .

[2]  L. Comfort.  Crisis Management in Hindsight: Cognition, Communication, Coordination, and Control , 2007 .

[3]  Loni Hagen,et al.  Crisis Communications in the Age of Social Media , 2018 .

[4]  T. Dejong,et al.  A comparison of three diversity indices based on their components of richness and evenness , 1975 .

[5]  A Díaz-Guilera,et al.  Self-similar community structure in a network of human interactions. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  R. Wigand,et al.  Networks of Preparedness and Response During Australian H1N1 Outbreak , 2015, Disaster Medicine and Public Health Preparedness.

[7]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  C. Ki,et al.  Survey of Clinical Laboratory Practices for 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in the Republic of Korea , 2015, Annals of laboratory medicine.

[9]  Jing Zhang,et al.  Digital government and wicked problems , 2016, Gov. Inf. Q..

[10]  M. Kunin,et al.  Response of General Practitioners to Infectious Disease Public Health Crises: An Integrative Systematic Review of the Literature , 2013, Disaster Medicine and Public Health Preparedness.

[11]  Wei Zhong,et al.  Modeling dynamics of an influenza pandemic with heterogeneous coping behaviors: case study of a 2009 H1N1 outbreak in Arizona , 2013, Comput. Math. Organ. Theory.

[12]  N. Kapucu,et al.  Interorganizational Networks in Disaster Management , 2017 .

[13]  J. Richardus,et al.  Ebola Preparedness in the Netherlands: The Need for Coordination Between the Public Health and the Curative Sector , 2017, Journal of public health management and practice : JPHMP.

[14]  Jae-Gil Lee,et al.  BlackHole: Robust community detection inspired by graph drawing , 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE).

[15]  Louise K. Comfort,et al.  Communication, Coherence, and Collective Action , 2006 .

[16]  Christian Reuter,et al.  Social Media in Crisis Management: An Evaluation and Analysis of Crisis Informatics Research , 2018, Int. J. Hum. Comput. Interact..

[17]  Raihan Ur Rasool,et al.  Crisis analytics: big data-driven crisis response , 2016, Journal of International Humanitarian Action.

[18]  S. Borgatti,et al.  The centrality of groups and classes , 1999 .

[19]  W. Treurniet.  Shaping Comprehensive Emergency Response Networks , 2014 .

[20]  Warren S. Eller,et al.  The Core and Periphery of Emergency Management Networks , 2013 .

[21]  Shuhua Monica Liu,et al.  Special issue on internet plus government: New opportunities to solve public problems? , 2018, Gov. Inf. Q..

[22]  Martin G. Everett,et al.  Analyzing social networks , 2013 .

[23]  M. Lindell,et al.  Preparedness for emergency response: guidelines for the emergency planning process. , 2003, Disasters.

[24]  L. Rotz,et al.  CDC's Early Response to a Novel Viral Disease, Middle East Respiratory Syndrome Coronavirus (MERS-CoV), September 2012–May 2014 , 2015, Public health reports.

[25]  José Raymundo Marcial-Romero,et al.  E-health: agent-based models to simulate behavior of individuals during an epidemic outbreak , 2018, DG.O.

[26]  Christopher Steven Marcum,et al.  Interorganizational Collaboration in the Hurricane Katrina Response* , 2012, J. Soc. Struct..

[27]  Matthew P. Shearer,et al.  Public Health Resilience Checklist for High-Consequence Infectious Diseases—Informed by the Domestic Ebola Response in the United States , 2018, Journal of public health management and practice : JPHMP.

[28]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[29]  A. Mikler,et al.  Challenges of Designing and Implementing High Consequence Infectious Disease Response , 2018, Disaster Medicine and Public Health Preparedness.

[30]  David Marcozzi,et al.  Pandemic and All-Hazards Preparedness Act , 2007, Disaster Medicine and Public Health Preparedness.

[31]  Sammantha L. Magsino,et al.  Applications of Social Network Analysis for Building Community Disaster Resilience: Workshop Summary , 2009 .

[32]  Suleyman Celik,et al.  From linearity to complexity: emergent characteristics of the 2006 Avian Influenza Response System in Turkey , 2016 .

[33]  Pablo M. Gleiser,et al.  Community Structure in Jazz , 2003, Adv. Complex Syst..

[34]  B. Turnock.  Public Health: What It Is and How It Works , 1997 .

[35]  Naim Kapucu,et al.  Examining Intergovernmental and Interorganizational Response to Catastrophic Disasters , 2010 .

[36]  Eric C. Jones,et al.  Social Network Analysis of Disaster Response, Recovery, and Adaptation , 2016 .

[37]  B. Silk.  Infectious Disease Threats and Opportunities for Prevention. , 2018, Journal of public health management and practice : JPHMP.

[38]  Liaquat Hossain,et al.  Disaster response preparedness coordination through social networks. , 2010, Disasters.

[39]  H. Monsuur,et al.  Network Topology in Command and Control: Organization, Operation, and Evolution , 2014 .

[40]  Amanda Lee Hughes,et al.  Crisis in a Networked World , 2009 .

[41]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[42]  Kathleen M. Carley,et al.  A structural perspective on the emergence of network organizations , 1999 .