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1.
Int J Environ Res Public Health ; 19(11)2022 05 29.
Article in English | MEDLINE | ID: covidwho-1869610

ABSTRACT

In Taiwan, firefighters are responsible for transporting confirmed coronavirus cases to hospitals or epidemic prevention hotels. During the epidemic, in order to reduce the chance of cross-infection between the general public and the fire brigade, traditional collective mobilization training was limited. As a solution, this study combines a fire command course (C1) and a VR simulation for training fire station captains (VRST) and then applies the pre- and post-test evaluation approaches and the after-class questionnaire to summarize the learning effectiveness. The results show that, from a total of 244 captains that were trained, the after-training scores are significantly better when compared with the scores before training (p < 0.05, Cohen's d > 0.8). Additionally, the post-test scores collected during the epidemic (n = 158) have no significant difference compared to the ones taken before the outbreak (2019, n = 86) in terms of sizing up, decision making, and safety management. The training results are still improving. The after-class questionnaire showed that most trainees believed that VRST helped to improve their confidence as incident commanders (ICs) (mean = 4.63, top box = 66.98%), with the novice and suburban groups exhibiting more significant improvements in command ability after the training. After the pandemic, VRST can continue as a regular training method for ICs. Because of the intervention of VRST, the differences in the command experience between different IC groups can be compensated for.


Subject(s)
COVID-19 , Firefighters , COVID-19/epidemiology , Computer Simulation , Humans , Pandemics/prevention & control , Taiwan/epidemiology
2.
Disaster Med Public Health Prep ; 16(4): 1334-1340, 2022 08.
Article in English | MEDLINE | ID: covidwho-1085456

ABSTRACT

OBJECTIVES: This exercise aimed to validate New Taipei City's strategic plan for a city lockdown in response to coronavirus disease (COVID-19). The main goal of all solutions was the principle of "reducing citizen activity and strengthening government control." METHODS: We created a suitable exercise, creating 15 hypothetical situations for 3 stages. All participating units designed and proposed policy plans and execution protocols according to each situation. RESULTS: In the course of the exercise, many existing policies and execution protocols were validated. These addressed (1) situations occurring in Stage 1, when the epidemic was spreading to the point of lockdown preparations; (2) approaches to curb the continued spread of the epidemic in Stage 2; and (3) returning to work after the epidemic was controlled and lockdown lifted in Stage 3. Twenty response units participated in the exercise. Although favorable outcomes were obtained, the evaluators provided comments suggesting further improvements. CONCLUSIONS: Our exercise demonstrated a successful example to help policy-making and revision in a large city of over 4 million people during the COVID-19 pandemic. It also enhanced participants' subject knowledge and familiarity with the implementation of a city lockdown. For locations intending to go into lockdown, similar tabletop exercises are an effective verification option.


Subject(s)
COVID-19 , Pandemics , Humans , Pandemics/prevention & control , COVID-19/epidemiology , COVID-19/prevention & control , Taiwan/epidemiology , SARS-CoV-2 , Communicable Disease Control/methods
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