Location

Collier Library

Faculty Sponsor(s)

Dr. Sunhui Sim

Event Website

https://www.una.edu/studentresearch/index.html

Start Date

24-4-2019 1:00 PM

End Date

24-4-2019 2:00 PM

Document Type

Poster Presentation

Description

"Malaria is a communicable disease that is spread by female mosquitos of the Anopheles genus. It is acutely prevalent in Sub-Saharan Africa, where 90% of malaria deaths occur each year. One Sub-Saharan African country historically impacted by malaria is Ethiopia. In the past twenty years, malaria prevalence has been significantly decreased throughout Sub-Saharan Africa; yet, anthropogenic environmental changes are changing the landscape of malaria. Scholarly literature has cited a positive relationship between hydroelectric dams and malaria in Sub-Saharan Africa. Ethiopia is currently expanding their hydroelectric infrastructure.

The Gilgel Gibe III hydroelectric dam is located on the Omo River in Southwestern Ethiopia. It began generating electricity in 2015 and its reservoir has a capacity of 14,700 million cubic meters of water. This research utilizes Geographic Information Systems and Remote Sensing to identify populations at an increased risk of malaria due to Gilgel Gibe III hydroelectric dam. Two different techniques are utilized to quantify populations at an increased risk of malaria: the proximity approach and the remote sensing approach. The proximity approach is based solely on distance, and identifies all populations living within three kilometers of the reservoir as being at an increased risk. The second technique evaluates slope, elevation, ground wetness, and land surface temperature to create a mosquito breeding habitat risk map. Then, populations living within three kilometers of High-Risk sites are identified. This study suggests that mosquito breeding habitats are not equally distributed throughout the Gilgel Gibe III Reservoir. This causes certain populations to be at a greater risk of malaria than others. In countries with limited economic capital and resources, the populations are at the greatest risk of malaria should be identified and prioritized."

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Apr 24th, 1:00 PM Apr 24th, 2:00 PM

Identifying Populations at Greater Risk of Malaria Due to Hydroelectric Dams in Ethiopia: A Case Study of the Gilgel Gibe III Hydroelectric Dam

Collier Library

"Malaria is a communicable disease that is spread by female mosquitos of the Anopheles genus. It is acutely prevalent in Sub-Saharan Africa, where 90% of malaria deaths occur each year. One Sub-Saharan African country historically impacted by malaria is Ethiopia. In the past twenty years, malaria prevalence has been significantly decreased throughout Sub-Saharan Africa; yet, anthropogenic environmental changes are changing the landscape of malaria. Scholarly literature has cited a positive relationship between hydroelectric dams and malaria in Sub-Saharan Africa. Ethiopia is currently expanding their hydroelectric infrastructure.

The Gilgel Gibe III hydroelectric dam is located on the Omo River in Southwestern Ethiopia. It began generating electricity in 2015 and its reservoir has a capacity of 14,700 million cubic meters of water. This research utilizes Geographic Information Systems and Remote Sensing to identify populations at an increased risk of malaria due to Gilgel Gibe III hydroelectric dam. Two different techniques are utilized to quantify populations at an increased risk of malaria: the proximity approach and the remote sensing approach. The proximity approach is based solely on distance, and identifies all populations living within three kilometers of the reservoir as being at an increased risk. The second technique evaluates slope, elevation, ground wetness, and land surface temperature to create a mosquito breeding habitat risk map. Then, populations living within three kilometers of High-Risk sites are identified. This study suggests that mosquito breeding habitats are not equally distributed throughout the Gilgel Gibe III Reservoir. This causes certain populations to be at a greater risk of malaria than others. In countries with limited economic capital and resources, the populations are at the greatest risk of malaria should be identified and prioritized."

https://ir.una.edu/scholarsweek2019/2019/posters/34