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Disasters

A WASH response to Yemen’s cholera outbreak

Naif Abu-Lohom's picture

Editor's Note: 
The global water crisis is a crisis of too much, too polluted and too little. At the World Bank, our job is to find and implement solutions to tackle this crisis. In the “Water Solutions” blog series, you’ll read about World Bank-supported projects in different countries which demonstrated solutions to the world’s most pressing water issues, to fulfill our vision for a water-secure world.


 
Since 2015, when armed conflict began, Yemen's water and sanitation infrastructure has suffered significant damages. Direct attacks on the infrastructure have been exacerbated by the lack of energy (electricity and fuel), spare parts, operation and maintenance funds, and three years of unpaid salaries of civil servant staff. This confluence of factors has undermined the robustness of water and sanitation systems in Yemen and contributed to the worst cholera outbreak in history. According to the World Health Organization, as of November 11, 2018, 1,300,495 suspected cholera cases and 2,609 deaths have been reported.
 
The upsurge of cholera cases is attributed to several risk factors, including a disruption of basic water and sanitation services, contaminated water sources in affected communities, an inability to treat sewage due to non-functional wastewater treatment plants, and the absence of garbage collection systems. More than 70 percent of the population (22 million people) requires assistance to access safe drinking water and sanitation. Basic water supply, sanitation and hygiene (WASH) infrastructure is on the verge of total collapse, and many internally displaced persons (IDPs) are at a particularly high risk, due to overcrowded shelters and settlements with inadequate water and sanitation facilities.

Risk models and storytelling – learning from past disasters for a more resilient future

Emma Phillips's picture



In the early afternoon of September 3, 1930, the San Zenon Hurricane struck Santo Domingo, the capital city of the Dominican Republic. With winds of up to 250 kilometers per hour, one of the deadliest hurricanes ever recorded in the Atlantic pummeled the coastal city, destroying entire neighborhoods and claiming the lives of as many as 8,000 people.
 
What would happen if a hurricane of a similar magnitude hit Santo Domingo today? Nearly 90 years on, only the oldest Dominicans have any direct recollection of the devastation. For most residents of present-day Santo Domingo, the consequences of another cataclysmic hurricane making landfall near their city are hard to imagine.
 
Be it hurricanes like San Zenon or volcanic eruptions such as that of Mount Vesuvius, analyzing natural events that led to the major disasters of yesteryear can help us get a fuller grasp of how similar events might impact today’s more populous, urbanized, and connected world. 

Time to adapt to changing climate: what does it mean for water?

Greg Browder's picture

As COP24 in Poland reaches its mid-point, it is becoming distressingly obvious that reaching the Paris Agreement goal of limiting global warming to well below 2 degrees Centigrade will be extremely challenging.  Recognizing that millions of people across the world are already facing the severe consequences of more extreme weather events, the World Bank Group’s newly announced plan on climate financing for 2021-2025 includes a significant boost for adaptation.

From risk to opportunity: Expanding the risk management toolbox to build more resilient societies

Stéphane Hallegatte's picture

Time and again, we witness how natural disasters reinforce poverty and other development challenges. Disasters strike countries around the world with alarming frequency – including severe storms, floods, or earthquakes that cause devastating damages. What is often overlooked in the reporting are the severe and long-term impacts that these events can have on the livelihoods and well-being of people. In the aftermath of these events, affected households—especially the poor and vulnerable—are often forced to cut down on food, education, or healthcare expenditures, or even to liquidate what’s left of their assets. These negative coping strategies often carry consequences long after the winds and storm surges have passed, and this is particularly true for children.  

In data-scarce environments, disruptive thinking is needed: Freetown transport resilience

Fatima Arroyo Arroyo's picture


When our team started working in Freetown one year ago, we found very limited data on how people move or what are the public transport options to access jobs and services from different neighborhoods. How do you plan your public transport system when you do not have data? And what if you are also constrained by a highly vulnerable environment to natural disasters and poverty? Keep reading: Disruptive thinking has the answer.

Context

Freetown, Sierra Leone’s capital city, is a vibrant city with an increasing population and a growing economy—and probably the best beaches in the region. It is a densely populated, congested city situated on a hilly peninsula surrounded by the Atlantic Ocean, the estuary of the Sierra Leone River and mountains, with very little flat space. The city creates 30% of the country’s GDP, which evidences the importance for the national economy. Although Freetown is the main employment center in Sierra Leone, the access to jobs and services in the city is heavily impaired by inadequate transport services and infrastructure and a chronic congestion.  

Resilient housing joins the machine learning revolution

Sarah Elizabeth Antos's picture
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 World Bank

Machine learning algorithms are excellent at answering “yes” or “no” questions. For example, they can scan huge datasets and correctly tell us: Does this credit card transaction look fraudulent? Is there a cat in this photo?

But it’s not only the simple questions – they can also tackle nuanced and complex questions.

Today, machine learning algorithms can detect over 100 types of cancerous tumors more reliably than a trained human eye. Given this impressive accuracy, we started to wonder: what could machine learning tell us about where people live? In cities that are expanding at breathtaking rates and are at risk from natural disasters, could it warn us that a family’s wall might collapse during an earthquake or rooftop blow away during a hurricane?

The rise of local mapping communities

Vivien Deparday's picture
More than 150 people participated in the SotM Africa conference in 2017. (Courtesy of SotM Africa)
More than 150 people participated in the SotM Africa conference in 2017. (Courtesy of SotM Africa)

There is a unique space where you can encounter everyone from developers of self-driving cars in Silicon Valley to city planners in Niamey to humanitarian workers in Kathmandu Valley: the global OpenStreetMap (OSM) community. It comprises a geographically and experientially diverse network of people who contribute to OSM, a free and editable map of the world that is often called the “Wikipedia of maps.”  

What is perhaps most special about this community is its level playing field. Anyone passionate about collaborative mapping can have a voice from anywhere in the world. In the past few years, there has been a meteoric rise of locally organized mapping communities in developing countries working to improve the map in service of sustainable development activities.

The next opportunity to see the OSM community in action will be the November 14th mapathon hosted by the Global Facility for Disaster Reduction and Recovery (GFDRR)’s Open Data for Resilience Initiative (OpenDRI). Mapathons bring together volunteers to improve the maps of some of the world’s most vulnerable areas, not only easing the way for emergency responders when disaster strikes, but also helping cities and communities plan and build more resiliently for the future.

The winter is coming: Crisis management should be prepared before a crisis strikes, not in the midst of it

Norman Loayza's picture

2018: It has been 100 years since the Spanish flu pandemic and 10 years since the global financial crisis. The Spanish flu killed more than 50 million people, more than the two World Wars combined. It was so lethal because it occurred when people were at their weakest, suffering from the Great War: malnourished, living in conditions of poor hygiene, on the move as combatants or refugees, and lacking proper medical facilities. A decade ago, the global financial crisis struck, triggering not only a prolonged recession in the United States and other advanced countries but also a deepening distrust of globalization as a force for progress. And this had consequences well beyond the realm of economics. Lacking unity of purpose and grappling with their own domestic troubles, the nations of the West were unable to deal with the Arab uprisings and could not articulate a response to the Syrian crisis. Brexit, the rise of nationalism in Europe, the neo-isolationist policies in the United States, and the recent wave of trade protectionism have deep roots, but their triggers can be traced, in one way or another, to the global financial crisis of 2008.       

Urban 20: Cities at the center of local solutions to global development challenges

Ede Ijjasz-Vasquez's picture
 

With the world becoming more urban than ever before, cities are at the core of the global development agenda. They play such a pivotal role in addressing global challenges and improving citizen’s lives that the battle against poverty and climate change to build inclusive, resilient, and sustainable communities will be won or lost in cities.
 

Five ways to do better post-disaster assessments

Joe Leitmann's picture
2017 damage and loss assessment following landslides and floods in Sierra Leone. Photo: World Bank
2017 damage and loss assessment following landslides and floods in Sierra Leone. (Photo: World Bank)

Post-disaster assessments changed my life by starting my career in disaster risk management. Three months after arriving in Indonesia as the World Bank’s environment coordinator, the Indian Ocean tsunami and related earthquakes struck Aceh and Nias at the end of 2004. I was asked to pull together the economic evaluation of the disaster’s environmental impact as part of what was then known as a damage-and-loss assessment. Subsequently, the World Bank, United Nations and European Union agreed on a joint approach to crisis response in 2008, including a common methodology for post-disaster needs assessment (PDNA).

Now that we have a decade of experience with this approach, what have we learned and how can we do a better job in the future?


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