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Where We Kill Mapping the effects of the Saudi-Led Coalions air war in Yemen Cholera cases 2017-Present In 2015, conflict erupted in Yemen between the central government and the Houthis, a Shiite tribe living in the mountainous northern secon of the country. The Houthis steadily gained ground, capturing the capital Sanaa and forcing the government of Abdrabbuh Mansur Hadi to flee. Fearing growing Iranian influence in the Gulf, a group of Arab states led by Saudi Arabia formed a military coalion to defeat the Houthis and restore the Hadi government. The Saudi-led intervenon has taken place primarily through air raids on Houthi and civilian posions. The coalion has launched hundreds of air strikes every month, resulng in large scale death and destrucon. Human rights groups have decried the conflict and allege Saudi Arabia is deliberately targeng civilians. Even more important than the conflict-related deaths are the secondary effects of the airstrikes. Crippled health and food infrastructure has led to the biggest Cholera outbreak on record, and according the U.N. tens of millions of Yemenis are at risk of starvaon. This project aims to idenfy the governorates of Yemen that have suffered most from the conflict Background This project idenfied for key metrics for measuring the Disaster Score. First, the number of airstrikes suffered by a governorate since 2016. Second, the number of Cholera cases recorded in each governorate since May 2017. Third, the increase of the price of wheat flour (bread is a key staple of the Yemeni diet) between 2017 and 2018 as a proxy for food security. Fourth, the populaon of each governorate to identy which areas the scale of the disaster could escalate and in which areas aid should be priorized. Each governorate was assigned a score between 1 and 10 for all four of these metrics. Scores were based on natural breaks in the data, using Jenks algorithm. Then, each index was weighted and combined together to form the final Disaster Score Index. Airstrikes and Cholera outbreaks were weighted at 35% each, food price increase was weighted at 20%, and populaon level was weighted at 10%. One governorate, Soctra, was excluded from this analysis because of a lack of available data. Destrucon from the conflict is mostly concentrated in the more populated Western part of the country. Al Hudaydah, a key port which is a major baleground between Houthi and regime forces, was the most severely impacted governorate and the only one have a Disaster Score of 10. The Amanat Al Asimah, governorate which houses the capital Sanaa, and surrounding Sanaa governorate were also hard hit, with respecve scores of 8 and 7. Although sll seriously affected, regions on the border with Saudi Arabia has only middling scores despite heavy air bombardment due to the low incidence of Cholera there. Finally, it is worth nong that no area had a score below 3, showing that even the relavely beer off areas of Yemen are sll in dire straits Due to me constraints, there are a few areas where this project could be developed further. Future researches could weigh Cholera deaths and airstrike deaths into their analysis, as this project focused solely on the occurrence of airstrikes and Cholera. Beer data on food security would also be idea. Using the price of staple foods is a rather crude proxy food security, and beer data on that subject would beer capture the scope of the developing famine in Yemen. Citaons Cholera data was provided by the World Health Organizaon Demographic data and shapefiles were provided by the Human Data Exchange Data on Food Prices was provided by the World Food Program Data on Airstrikes was provided by Acled Data Photo was provided by Al-Jazeera Created by Jonah Feldman December 2018 GIS-101 Introducon to GIS Number of Airstrikes 2016-Present Populaon Level Price Increase in Wheat Flour 2017-2018 Methods Outcomes

Where We Kill itations - Tufts University · holera outbreaks were weighted at 35% each, food price increase was weighted at 20%, and population level was weighted at 10%. One governorate,

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Page 1: Where We Kill itations - Tufts University · holera outbreaks were weighted at 35% each, food price increase was weighted at 20%, and population level was weighted at 10%. One governorate,

Where We Kill Mapping the effects of the Saudi-Led Coalition’s air war in Yemen

Cholera cases 2017-Present

In 2015, conflict erupted in Yemen between the central government and the Houthis, a

Shi’ite tribe living in the mountainous northern section of the country. The Houthis steadily

gained ground, capturing the capital Sana’a and forcing the government of Abdrabbuh

Mansur Hadi to flee. Fearing growing Iranian influence in the Gulf, a group of Arab states led

by Saudi Arabia formed a military coalition to defeat the Houthis and restore the Hadi

government.

The Saudi-led intervention has taken place primarily through air raids on Houthi and

civilian positions. The coalition has launched hundreds of air strikes every month, resulting

in large scale death and destruction. Human rights groups have decried the conflict and

allege Saudi Arabia is deliberately targeting civilians.

Even more important than the conflict-related deaths are the secondary effects of the

airstrikes. Crippled health and food infrastructure has led to the biggest Cholera outbreak on

record, and according the U.N. tens of millions of Yemenis are at risk of starvation. This

project aims to identify the governorates of Yemen that have suffered most from the conflict

Background

This project identified for key metrics for measuring the Disaster Score. First, the number of

airstrikes suffered by a governorate since 2016. Second, the number of Cholera cases

recorded in each governorate since May 2017. Third, the increase of the price of wheat flour

(bread is a key staple of the Yemeni diet) between 2017 and 2018 as a proxy for food

security. Fourth, the population of each governorate to identity which areas the scale of the

disaster could escalate and in which areas aid should be prioritized.

Each governorate was assigned a score between 1 and 10 for all four of these metrics.

Scores were based on natural breaks in the data, using Jenk’s algorithm. Then, each index

was weighted and combined together to form the final Disaster Score Index. Airstrikes and

Cholera outbreaks were weighted at 35% each, food price increase was weighted at 20%,

and population level was weighted at 10%. One governorate, Soctra, was excluded from this

analysis because of a lack of available data.

Destruction from the conflict is mostly concentrated in the more populated Western

part of the country. Al Hudaydah, a key port which is a major battleground between Houthi

and regime forces, was the most severely impacted governorate and the only one have a

Disaster Score of 10. The Amanat Al Asimah, governorate which houses the capital Sana’a,

and surrounding Sana’a governorate were also hard hit, with respective scores of 8 and 7.

Although still seriously affected, regions on the border with Saudi Arabia has only middling

scores despite heavy air bombardment due to the low incidence of Cholera there. Finally, it

is worth noting that no area had a score below 3, showing that even the relatively better off

areas of Yemen are still in dire straits

Due to time constraints, there are a few areas where this project could be developed

further. Future researches could weigh Cholera deaths and airstrike deaths into their

analysis, as this project focused solely on the occurrence of airstrikes and Cholera. Better

data on food security would also be idea. Using the price of staple foods is a rather crude

proxy food security, and better data on that subject would better capture the scope of the

developing famine in Yemen.

Citations

Cholera data was provided by the World Health Organization

Demographic data and shapefiles were provided by the Human Data Exchange

Data on Food Prices was provided by the World Food Program

Data on Airstrikes was provided by Acled Data

Photo was provided by Al-Jazeera

Created by Jonah Feldman

December 2018

GIS-101 Introduction to GIS

Number of Airstrikes 2016-Present

Population Level

Price Increase in Wheat Flour 2017-2018

Methods Outcomes