While not all of the results came out as expected, the results that were obtained were very satisfying. There were many things that could have made the data different from what was expected. One thing might have been that the accuracy for all of the data didn’t quite match up. While the data for malaria was divided up into rather large regions, the data collected for the other maps was much more specific and less generalized. The relation between sickle cell anemia and malaria, while shown on a small scale might not yet be visible on a larger scale. Another thing that could have made the data different from what was expected was that, where the most modernized parts of the country were located and where they had the most hospitals and doctor was unknown. It is also possible that some malaria eradication techniques have been implemented in some areas of Ethiopia but not others. One area that seemed to continually be different from the other areas was the southeast part of the country and it could be that this means there is something going on in that area that makes the data not match up.
There was no correlation found between sickle cell anemia and malaria as can be seen by the R2 value of 0.0031 as shown in chart 5. There was no correlation found between malaria and tree cover, herbal cover, temperature, malaria’s sustainability due to temperature, precipitation, wetlands, or elevation. This is shown by all of these having an R2 value that is less than 0.95 as can be seen in charts1-4 and 6-9. There was a correlation found between malaria and the DEM and water bodies. This is evidenced by finding that most malaria cases were along rivers and in places of lower elevation, excluding the southeast corner of Ethiopia. But because this data was correlated visually it is not substantial evidence. There was a correlation found between malaria and the Ethiopian ecoregions which is show by a P value of .01 as seen in Table 1.
While not everything came out as expected, the hypothesis did end up being partially right. While the individual parts of the Ecosystem didn’t seem to have much of an effect on malaria, the ecoregions did. An ecoregion is a zone created based on the type of ecosystem in that area. This includes plant and animal life, temperature, rainfall, and elevation. So, because this test came out to be very highly correlated, it seems that malaria might in fact be correlated to the ecosystems it is found in.