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HIV/AIDS What can we do to prevent it?!

HIV/AIDS What can we do to prevent it?!. Group 4: Pinar Sahin Darren Egan David White Yuan Yuan Miguel Delgado Helleseter David Rhodes. What is HIV/AIDS?. HIV : Human immunodeficiency virus, the virus that causes AIDS!

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HIV/AIDS What can we do to prevent it?!

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  1. HIV/AIDS What can we do to prevent it?! Group 4: Pinar Sahin Darren Egan David White Yuan Yuan Miguel Delgado Helleseter David Rhodes

  2. What is HIV/AIDS? • HIV: Human immunodeficiency virus, the virus that causes AIDS! • AIDS:A serious, often fatal, disease of the immune system transmitted through blood products, especially by sexual contact or contaminated needles.

  3. Why do we care? • HIV/AIDS kills people! • There are over 400,000 people in the United States living with AIDS

  4. How can we prevent it? • Are the efforts made by the government significant enough to make a difference? • Does government spending have an effect on the number of infections? • Does each states policy on sexual education have an effect on the number of infections?

  5. Data Retrieval

  6. Recent Trends There has been a declining trend in AIDS morbidity over the past eight years

  7. Our Hypothesis We think that the decline in AIDS infection rate over the past eight years is due to the increased expenditure by the Center for Disease Control for preventing the contraction of the HIV virus

  8. Histogram Analysis While the number of morbidity has been steadily decreasing, the Center for Disease control has increased the expenditure for HIV/AIDS prevention

  9. Is there a relationship? • Both the t and F statistics are significant • R^2 is .61, which is decent

  10. HIV per capita in each State

  11. HIV/AIDS cases vs. per capita funding per state

  12. Dummy Variables

  13. # of HIV vs. Dummy Variables

  14. Significant? The results produced by this analysis did not show any indication of the requirements about sexual education and HIV education having any effect on the number of HIV infections. We used several models that turned out to not be significant

  15. Multiple Regression Model • This model turned out to be significant • But, the only variable that had a significant effect on the number of infections was the per capita funding • The more funding there is, the lower the number of infections

  16. Conclusions • There is a significant relationship between the increased CDC expenditure and the decrease in the number of infections • There is also a relationship between higher funding by individual States and lower number of infections. • Whether sexual education and HIV/sexually transmitted disease education are required in the different states turned out not to be important factors in explaining how the number of HIV infections is declining.

  17. The End

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