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SUVA, Fiji 28 March 2018 – Six weeks after it was hit by a Category 4 cyclone, Tonga is now trained in the use of the new online tool for measuring disaster losses, the Sendai Framework Monitor. Rolling out the Sendai Framework Monitor is part of Pacific-wide efforts to implement the global plan for reducing disaster losses, the Sen…
The Status of Science and Technology report is an important step for monitoring the progress in the implementation of the Sendai Framework and an attempt to capture some of the progress across geographies, stakeholders, and disciplines towards the application of science and technology towards risk reduction in Asia-Pacific. Developed by…
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GENEVA, 27 September 2016 - It didn’t have a fancy name. It was Tropical Cyclone 03 A and it killed more than 10,000 people, many of them desperately poor salt pan workers in the Kutch district of Gujarat, India. Hundreds died at their place of work, ignorant of the coming storm’s strength until it bore down on their encampment with a fury that turned…
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Suva –Fiji launched its annual National Disaster Awareness Campaign focusing on better community preparedness as the country continues to strengthen its disaster risk governance. The campaign – set to last until April 2021- is focused at the local level, aiming to make communities better aware of and prepared for futures disasters. Mr. Inia Ser…
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ULAANBAATAR, 1 July, 2018 -  Despite decades of rapid socio-economic development, Asia Pacific remains the most disaster-prone region in the world. In 2017 alone, more than 6,500 people lost their lives following more than 200 disasters that affected 66.7 million people. From 3-6 July, the Mongolian government will host the 2018 Asian Ministe…
Suva – Producing and using disaggregated disaster and climate data is vital to build a resilient Blue Pacific that includes some of the region’s most vulnerable populations. This was the headline call from female leaders representing different sectors to policymakers and practitioners across the region. The ‘Counting women: using disaggregated…

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