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2017

30 Sep 2017

The Hong Kong Jockey Club Disaster Preparedness and Response Institute published a Scoping Study entitled "Disaster Preparedness in Hong Kong – A Scoping Study" in 2016.

 

Three pieces of publications have been published with the findings of the Scoping Study done in 2016.

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30 Sep 2017

Following the annual National Emergency Medical Team (EMT) training 2016 held in Fuzhou of China, the annual EMT training 2017 was held in Dali of Yunnan Province of China on 12-13 September 2017.

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30 Sep 2017

The HazMat Medical Response (HMR) course was jointly organised by the Hong Kong Jockey Club Disaster Preparedness and Response Institute (HKJCDPR), and the Hong Kong Association for Conflict and Catastrophe Medicine on 26 & 27 September 2017.

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14 Sep 2017

The Hong Kong Jockey Club Disaster Preparedness and Response Institute (HKJCDPRI), in cooperation with XVR Simulation, held a seminar on ‘Simulation for Incident Command Training’ and an XVR Asian Users’ Group Meeting on 12-13 September 2017 at th

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14 Sep 2017

We are pleased to announce that the Hong Kong Jockey Club Disaster Preparedness and Response Institute (HKJCDPRI) is going to conduct the National Disaster Life Support (NDLS) courses in Hong Kong with collaboration with the National Disaster Life

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30 Aug 2017

A free short course “Emergency Risk Communication in Disaster and Humanitarian Crisis” (4 Nov–2 Dec, 2017) organized by Jockey Club School of Public Health and Primary Care (JCSPHPC), and Collaborating Centre for Oxford University and CUH

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29 Jul 2017

In July 2017, the Hong Kong Jockey Club Disaster Preparedness and Response Insitute (HKJCDPRI) met with the Hong Kong Geotechnical Engineering Office (GEO) of the Civil Engineering and Development Department (CEDD) to discuss potential in collabor

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14 Jul 2017

Aiming at providing accessible real-time landslide information to the public and leverage smart technology to enhance landslide incident reporting in Hong Kong, the Hong Kong University of Science and Technology is developing a new smart Landslide

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