Prioritising help for the poorest hit by deadly natural disasters
A new statistical tool to help target resources following deadly natural disasters has been created, allowing governments to prioritise getting aid to the most vulnerable people.
The poorest are likely to be hardest hit by natural disasters due to living in areas prone to flooding or buildings more at risk of collapse. They also struggle most to recover. The impact of natural hazards on human well-being has in recent years been unprecedented. Earthquakes, violent winds, floods, and droughts have had severe consequences for millions of people worldwide, presenting an increasingly significant challenge for development and poverty alleviation.
In February 2018,Typhoon Gita hit the Polynesian country of Tonga. It was the most intense tropical cyclone since reliable records began and caused widespread devastation, affecting 80 per cent of the population.
The government of Tonga declared a state of emergency. They urgently needed accurate, up-to-date information about the extent and distribution of the damage, and specifically the location of the most vulnerable people, in order to prioritise the recovery and reconstruction efforts. With the help of the Bristol Poverty Institute (BPI), the Tonga Office of Statistics (TOS) reacted quickly to deliver a rapid post-disaster needs assessment (PDNA) survey assessing the nature, extent and distribution of damage in the main islands.
What we're doing
In order to prioritise recovery efforts – and ultimately save more lives - researchers from the Bristol Poverty Institute have shown how census data combined with survey data on living standards can produce an accurate poverty map in times of emergency and they used this tool following Typhoon Gita.
Working with the Tonga Office of Statistics, researchers combined poverty data with a post-disaster needs assessment survey (PDNA), which assessed the nature, extent and distribution of damage on the country’s main island of Tongatapu. Ministers and members of parliament were then able to prioritise resources and allocate them more effectively.
How it helps
Dr Hector Najera, Senior Research Associate in the School for Policy Studies at the University of Bristol, said: “As the frequency and severity of hurricanes and other severe weather events increase, so too will their impact on the poor. We have shown in Tonga how cutting-edge statistical methods can be used to ensure those most in need get emergency help first. Ultimately, this will help to save lives. Our hope is that the tool we’ve developed will be replicated in other countries prone to natural disasters.”
Dr Najera worked with Dr Viliami Fitita, the Government Statistician for the Kingdom of Tonga and a former PhD student at the University of Bristol, to produce detailed and geographically-precise poverty prevalence rates for the country, which is made up of 176 islands.
Researchers hope their new tool could be particularly beneficial to small island developing states (SIDS), such as Tonga. Their geographical location in hazard-prone regions, relative isolation, limited physical size, and a concentration of population along coastal zones, make them particularly vulnerable.
Lead researcher profile
Dr Hector Najera Catalan, Senior Research Associate in poverty measurement and geographical analysis.
Related research centres
- Tonga Office of Statistics
- Government of Tonga
- Fiji Bureau of Statistics
- UNICEF Pacific Office
- ESRC IAA