Suitability of a new Community Care Center in Liberia Katie L. Butler GIS3034C April 2017 Feel free to change to your favorite slide theme. You can add more slides if you need, however, you only have up to 8 minutes to present your final project in the class time. Feel free to change the slide layout; table, color, font and so on. However do not delete any slide in this template. A good title should be descriptive and tell a reader what your project is about.

Introduction Suitability for a new community care center in Liberia Keywords: Problem: Community Care Centers during Ebola Outbreak 2013-2016 Study Area: Liberia GIS Technologies: Projection, Mapping distribution, joining, spatial analysis, Euclidian distance, Weighted linear sum Other Resources: CDC, WHO, ArcGIS

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 2013-2016 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

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

Study Area The study area of my project is Liberia during the 2013-2016 Ebola outbreak Site: CDC Ebola Maps

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.

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)

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

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

Results: Prevalence & population density

Land Cover

Results Proximity to ccc & roads

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.

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

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