Conclusion

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Analyzing the large amounts of data in such a great capacity was beneficial in comprehending what features of a given social construction are simultaneously present as the rates of infection for AIDS. It is very important to note that correlations do not explain causation but merely represent how two are more factors vary in relation to one another. The results of the correlations generated leads to major insight about the problems which need to be concentrated on primarily in order to obstruct the factors mentioned above. Those factors may be potential barriers to individuals acquiring the assistance they need especially when they reside in high risk areas for the disease. The issue must be targeted on all fronts that directly correlate to the AIDS rate and hopefully limit the persistence of the factors or demolish them altogether. If these goals are accomplished, there can be major resolutions to the problem.

 

 
 
 

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