3-9-12: Re-evaluating HIV Rates

March 9, 2012 at 8:59 am 3 comments

HIV infection and AIDS is a problem that Baltimore is very familiar with. But a recent study from Johns Hopkins University says that rates of infection are five times higher than previously thought. We talk with Charles Flexner, from the Bloomberg School of Public Health at Johns Hopkins University, who led the study. We also hear from Dr. Bill Blattner from the Institute for Human Virology at the University of Maryland; he is also the head of Baltimore’s Commission on HIV/AIDS.

Entry filed under: Medicine, On Air, Science. Tags: , .

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3 Comments Add your own

  • 1. Tamaqua Simpson  |  March 9, 2012 at 3:35 pm

    this is soo sad to see

  • 2. Kevin Feldt  |  March 9, 2012 at 3:56 pm

    You have some pretty tasteless advertisements on your website right now. You might want take a look at your content and contrast it to the ads appearing next to it.

  • 3. Angela Alvarez  |  March 9, 2012 at 11:10 pm

    I have to say I am very disapppointed by this story. It began with a very concerning statistic, namely that the rates of HIV/AIDS transmission are 5 times higher among black women than previously thought. As I listened to the broadcast it became clear that this number and its presentation were very misleading. The scientists didn’t select from a random group of African American women within Baltimore nor any of the cities studied. Something that would be necessary to make any conclusions or extrapolations about the rates of transmission among black women in this city or in general. Instead they selected women from areas already known to have high incidence rates and who hung out in locations within these areas associated with high transmission rates. The most the scientists can truthfully say is that among African American women who live in high risk neighborhoods and engage in behaviors assoicated with high risk, the rates are 5 times higher than expected. This is still very concerning but also its more honest. Shame on YPR and shame on Sheilah Kast for not truly questioning the scientists about the validity of using this information to describe more than the subset studied.


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