Preprint Article Version 1 This version is not peer-reviewed

Development of a Disaster Management Assessment Model Using Resilience Engineering Techniques and Infectious Disease Disaster Management Capacity Assessment

Version 1 : Received: 30 September 2018 / Approved: 30 September 2018 / Online: 30 September 2018 (11:17:41 CEST)

How to cite: Kim, D.; Lee, J. Development of a Disaster Management Assessment Model Using Resilience Engineering Techniques and Infectious Disease Disaster Management Capacity Assessment. Preprints 2018, 2018090609 (doi: 10.20944/preprints201809.0609.v1). Kim, D.; Lee, J. Development of a Disaster Management Assessment Model Using Resilience Engineering Techniques and Infectious Disease Disaster Management Capacity Assessment. Preprints 2018, 2018090609 (doi: 10.20944/preprints201809.0609.v1).

Abstract

Safety management assessment systems for national level units’ in South Korea focus on responding capacity to cope with impending accident occurrence and danger occurrence. Since the four stage systems for prevention-preparation-response-recovery, which are core elements of national disaster management, assess the capacities by item such as those of individuals, disaster management departments, institutions, and management networks, there is no assessment function for the organic operation states of the entire systems. Therefore, for efficient disaster management, systematic evaluation indices that will enable active pre-checks in departments in organizations should be developed in place of the existing simply checking methods. In this study, an assessment model that will enable active disaster management centered on practice was developed using resilience engineering techniques. This model consists of disaster management items from the viewpoint of proactive responses instead of prevention. A total of 56 items that constitute four capacities; which are prediction (13 items), monitoring (14 items), proactive response (15 items), and safety learning (14 items) capacities were adopted in this model through Delphi analysis. Institutional capacities for infectious disease disaster management were evaluated based on this model and the resultant scores were prediction 4.41, monitoring 4.63, proactive response 4.69, safety learning 4.56 out of the full score of 5.0 points with an overall average of 4.51. This is an excellent capacity management score comparable to the score 4.57 of diagnosis of similar capacities by the WHO\_JEE (The Joint External Evaluation) in 2017. In fact, in 2015, when infectious disease capacity management was poor, in case of MERS (Middle East Respiratory Syndrome) infectious disease spread in South Korea, 36 patients died and 6,729 patients were isolated. However, through capacity reinforcement, in the case of MERS occurrence in South Korea in September 2018, a management capacity that prevented spread was shown as one confirmed case was completely cured in 10 days and 21 contacts were isolated and tested negative. Therefore, this capacity management assessment model is judged to be usable in enhancing disaster response and management capacities.

Subject Areas

resilience engineering; disaster management; assessment model; capacity diagnosis; infectious disease

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