Networks of Preparedness and Response During Australian H1N1 Outbreak

Hossain, Liaquat; Bdeir, Fadl; Crawford, John W.; Wigand, Rolf T.

doi:10.1017/dmp.2014.88

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…In the context of a pandemic in a complex environment such as a community, a collaborative network has a significant impact on the performance of managing an outbreak. 56,57 Figure 3 illustrates the collaborative network in the community of the Lujiazui.…”

Section: Empowering Volunteer Groups For Emergency Responsementioning

confidence: 99%

Community Disaster Resilience in the COVID-19 Outbreak: Insights from Shanghai’s Experience in China

Zhang¹,

Zhao²,

Liu³

et al. 2021

RMHP

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Section: Empowering Volunteer Groups For Emergency Responsementioning

confidence: 99%

Community Disaster Resilience in the COVID-19 Outbreak: Insights from Shanghai’s Experience in China

Zhang¹,

Zhao²,

Liu³

et al. 2021

RMHP

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“…Previous studies have emphasized the importance of crosssector coordination in public health emergencies. 6,20 Our analysis suggested that close coordination among health-care organizations and government agencies, not only at the local and state level, but also at the national level, is critical, particularly when an emergency reaches a serious level. However, in doing so, the national health authorities may need to coordinate with provincial/metropolitan and local government authorities first to facilitate such collaboration with hospitals and health-care organizations within each jurisdiction.…”

Section: Discussionmentioning

confidence: 96%

Interorganizational Coordination and Collaboration During the 2015 MERS-CoV Response in South Korea

Kim

et al. 2020

Disaster med. public health prep.

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Objectives: This study examined the way organizations were involved in the response to the Middle East Respiratory Syndrome Coronavirus (MERS-CoV, MERS) outbreak that occurred in Korea in 2015. Data and Methods: We collected organizational network data through a content analysis of online news articles and the government’s white paper. Social network analysis was used to analyze the key organizations and their connections in crucial response tasks. Results: Three national health authorities (Central MERS Management Headquarters [CMMH], Korea Centers for Disease Control [KCDC], Ministry of Health and Welfare [MOHW]) led the response. CMMH, which did not appear in the government’s response plans, played a significant role in all 3 networks. KCDC also was involved in all 3 networks, but was most prominent in the laboratory testing network. MOHW appeared only in the patient management network. Each health authority coordinated and collaborated with distinctive types of organizations in the networks, but unclear lines of responsibilities also were found. Conclusions: The study demonstrated that the roles and responsibilities of health authorities at the national level were fragmented and lacked clarity. Public health emergency preparedness must consider carefully the way to establish collaborative response systems.

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“…A growing number of studies have applied a network approach to the study of interorganisational communication (see, for example, Monge and Contractor, 2003; Shumate and Contractor, 2013; Nohrstedt et al, 2018; O'Connor and Shumate, 2018). Scholars have used network analysis to identify key actors, describe the structures of communication and coordination, and evaluate emergency management performance (see, for example, Choi and Brower, 2006; Hossain et al, 2015). Network analysis allows researchers to scrutinise how organisations build connections with others in their network and their mechanisms of communication and coordination.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamics of interorganisational emergency communication on Twitter: the case of Hurricane Irma

Kapucu

et al. 2023

Disasters

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This study examines how county‐level emergency management offices (EMOs) used Twitter to communicate with other public agencies and non‐profit and for‐profit organisations before, during, and after Hurricane Irma in 2017. It assesses the strategies that EMOs and other stakeholders employed to communicate risks on Twitter, concluding that its potential has not been fully exploited. EMOs only frequently interacted with a few non‐profit and for‐profit organisations, despite their involvement in emergency communication. While EMOs and other public agencies emphasised information dissemination and called on citizens to act and be prepared for the hurricane, non‐profits tended to stress service and resource‐related information, encouraged others to assist with disaster response, and provided emotional support. For‐profits, meanwhile, actively addressed customers’ concerns through direct two‐way communication. Our findings indicate that EMOs should integrate non‐profit and for‐profit organisations’ communication efforts, engaging them in important conversations on Twitter and advocating the use of highly relevant hashtags at different disaster management stages

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Networks of Preparedness and Response During Australian H1N1 Outbreak

Abstract: In the context of a disease outbreak in a complex environment and a large geographical area, this investigation has provided a new perspective for understanding how the structure of a collaborative network of personnel affects the performance of the overall network.

Cited by 9 publications

References 21 publications

Community Disaster Resilience in the COVID-19 Outbreak: Insights from Shanghai’s Experience in China

Community Disaster Resilience in the COVID-19 Outbreak: Insights from Shanghai’s Experience in China

Interorganizational Coordination and Collaboration During the 2015 MERS-CoV Response in South Korea

Dynamics of interorganisational emergency communication on Twitter: the case of Hurricane Irma

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