Conclusion
As a result of the tightly-woven network of factors affecting the AIDS rate in Ghana, certain indicators like population density (table 4, graph 3, map 4) and percent urbanization (table 5, graph 4, map 5) do not significantly affect every case study and as such do not correlate significantly with the AIDS rate . However, it is interesting to note that one thing that naturally correlates with AIDS, STD’s (in this case, syphilis), does not correlate significantly with the AIDS rate (table 6, graph 5, map 6). There are only two possible explanations for this anomaly: either the data is wrong or that in Ghana, just like in Madagascar, AIDS and syphilis do not go hand in hand, at least not quite yet4.
Ghana’s AIDS epidemic is clearly a multifaceted problem, and like all multifaceted problems, it will require a multifaceted solution.