1. Suitability of a new Community Care Center in Liberia
Katie L. Butler
GIS3034C
April 2017
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2. Introduction Suitability for a new community care center in Liberia
Keywords:
Problem: Community Care Centers during Ebola Outbreak
Study Area: Liberia
GIS Technologies: Projection, Mapping distribution, joining, spatial analysis, Euclidian distance, Weighted linear sum
Other Resources: CDC, WHO, ArcGIS

3. PROJECT BACKGROUND
I am interested in analyzing the suitability of building a new Ebola Community Care Center in the most recent West African Ebola outbreak. The most recent outbreak of Ebola sparked worldwide panic due to rapid spreading and devastating mortality rates that even in the 21st century we were unprepared to control. The World Health Organization reported that from the epidemic in West Africa a total of 28,657 cases were suspected and 11,325 deaths were confirmed (WHO2016). However, Ebola has been present in African countries since 1976, specifying identified in Democratic Republic of Congo and South Sudan. Over the years, roughly 25 outbreaks across Central Africa have been reported but nothing matching the degree of devastation the disease caused in West Africa most recently (CDC, 2016). Other research conducted on the Ebola outbreak has investigated the best possible response to infectious disease outbreaks. Currently, many researchers are beginning to consider Community Care Centers and Community- based responses as the best possible way of stopping future outbreaks

4. goal OF modeling
The goal of this project was create a GIS model to identify the suitability of building a community care center
Additionally, showing the connection between survival rates and confirmed cases in the district

5. Study Area
The study area of my project is Liberia during the Ebola outbreak
Site: CDC Ebola Maps

6. Project Data Outline List data layers used for this project
Briefly describe the characteristics of the data as well as the data sources. The example is only that. Describe the data that you use.

7. Models used
Suitability model- determine the best location for a new hospital
Weighted Linear Sum
Euclidean distance
Factors:
Population density (0.20)
Proximity to major roads (0.20)
Ebola outbreak prevalence (0.30)
Proximity to community care centers (0.15)
Land Cover (0.15)

8. Flowchart of methods Factors Population Density Prevalence Land Cover
Proximity to Major Roads
Proximity to CCC
Weights
0.20
0.30
0.15

9. Survival Rate and Case Fatality Rate Survival rates were prominent in the blue areas where there were more hospitals but it also showed this is the same area where case-fatality rates were highest

10. Results: Prevalence & population density

11. Land Cover

12. Results Proximity to ccc & roads

13. suitability results
My conclusions is that best place to build a new community care center would be near the dark blue areas on the map and that the worst place would be near the darker green areas.

14. Limitation and pitfalls
Limitations of this project:
time, data availability for Liberia, human error
Data availability for Liberia was downloaded and analyzed but there could have been errors in the data
I tried to validate the data using other sources including cdc, who, and ArcGIS

15. Self - evaluation How many hours have you spent in the final project:
At least 72 hours on this project.
The skills/lessons you have learned from the project:
How to do a suitability model
Are you satisfied with your final project?
Yes
The positive/negative aspects of the final project
Negative: ArcGIS Is a terrible program
Positive: ArcGIS created these maps