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Recovery

The restoring or improving of livelihoods and health, as well as economic, physical, social, cultural and environmental assets, systems and activities, of a disaster-affected community or society, aligning with the principles of sustainable development and “build back better”, to avoid or reduce future disaster risk.

Latest Recovery additions in the Knowledge Base

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Social infrastructure and centralisation in community response and recovery from disasters thumbnail
Documents and publications

Disaster response and recovery are most effective when community-led networks combine central coordination with reciprocal collaboration, highlighting the critical role of local social infrastructure in resilience.

Natural Hazards (Springer)
Shaken, but not deterred: Acute stressors and the formation of hope and aspirations among tertiary-educated youth in Myanmar in the aftermath of the 2025 earthquake thumbnail
Documents and publications

Using data from a sample of educated youth in Myanmar, this paper documents the relationship between various sources of chronic (ongoing and long-term) and acute (brief and intense) stressors with measures of hope and aspirations.

World Bank, the
Update

Flooding caused by extreme and prolonged rainfall is occurring more frequently across Europe. The way countries recover afterwards varies widely. These differences offer valuable lessons.

Deltares
Research briefs

Study covering five major economies finds smaller communities face the longest economic recoveries, with damage persisting for up to four months.

The Society for Risk Analysis (SRA)
Update

Because Fukushima is considered a national responsibility, it is legally stipulated that all contaminated soil must be removed from the prefecture by 2045.

Japan Times Ltd., the
Update

TC Alfred was the first tropical cyclone to impact the Brisbane region in more than 50 years. It made landfall as a category 1 but peaked as a category 4 off the coast and ranked among 2025’s costliest global disasters.

National Emergency Management Agency (Australia)
Research briefs

A review published in Civil Engineering Sciences examines how machine learning (ML) methods are being applied to support infrastructure recovery following natural hazards.

Civil Engineering Sciences (AAAS)
Update

In Japan, it is not uncommon to see community disaster manuals stating, "Women are responsible for cooking" in times of such emergencies.

Mainichi Newspapers Co., Ltd., the - Mainichi Daily news, the
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