Disaster Preparedness for Safer School Project, Bangladesh
Bangladesh is one of the most disaster prone countries in the world and
typically affected by disasters including floods, cyclones, river erosion,
drought, tornadoes, landslides, and earthquakes. School children are
considered the most vulnerable population group as a result of poor school
construction and low level of awareness and preparedness that had already
contributed to high casualty rates among school children in Bangladesh. The
Bangladesh DPSS project was designed based on experiences and lessons
learned from the Nepal DPSS. Due to both time and budget constraints, the
project failed to achieve some certain expected outputs including awareness
campaigns and community outreach. Despite these, the project brought
experiences that serve lessons worth learning for both managers and
implementers of similar programs/projects.
Are you sure you want to delete this "resource"?
This item will be deleted immediately. You cannot undo this action.
File Name File Size Download
knowledge_product-dpss-bangladesh.pdf 128 KB

Related Resources

Research
07 Mar 2016
This research aims to build a concept of disaster resilient communities in Palembang, Indonesia based on their current preparedness. In order to achieve this, the level of community structural and non-structural mitigation in Palembang needs to be as...
Tags: Research, Resilience
Data set
27 Jun 2016
The MENA Regional risk context: The Middle East and North Africa (MENA) region is affected by some of the most acute and complex humanitarian emergencies in the world, primarily the result of armed conflict and other protracted violence. The conflict...
Tags: Data set, Climate Change Adaptation, Disaster Law, Resilience, Risk Assessment, Urban Risk Reduction
Research
08 Jun 2018
The Hindu Kush Himalayan region is extremely vulnerable to various types of water-induced disasters, particularly floods and landslides. In Nepal, more than 300 people are killed annually on average as a result of floods and landslides. Inequalities ...
Tags: Research, Early Warning Systems