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SOUTH CAROLINA EPIDEMIOLOGIC PROFILE 2011. What is the Epi Profile? The HIV/AIDS Epidemiologic Profile is a document that: Describes the HIV/AIDS epidemic.

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Presentation on theme: "SOUTH CAROLINA EPIDEMIOLOGIC PROFILE 2011. What is the Epi Profile? The HIV/AIDS Epidemiologic Profile is a document that: Describes the HIV/AIDS epidemic."— Presentation transcript:

1 SOUTH CAROLINA EPIDEMIOLOGIC PROFILE 2011

2 What is the Epi Profile? The HIV/AIDS Epidemiologic Profile is a document that: Describes the HIV/AIDS epidemic in various populations in South Carolina Identifies characteristics of: –the general population (sociodemographic characteristics of the population) –HIV-infected populations (impact of HIV/AIDS on the population) –non-infected persons (who is at risk for becoming infected with HIV) Serves as a source of quantitative data from which HIV prevention and care needs can be identified

3 Additional data available in an Integrated Epidemiologic Profile Characteristics of people with Sexually Transmitted Diseases (STDs) in South Carolina Chlamydia Gonorrhea Infectious Syphilis Patterns of service utilization in South Carolina Characteristics of Ryan White Part B clients ADAP Patient Profile Characteristics of persons who know they are HIV+ but who are not receiving HIV primary medical care

4 What are the sociodemographic characteristics of the population?

5 Selected demographic information: South Carolina and United States South CarolinaUnited States Population (2010) 4,625,364308,745,538 Proportion of Persons Living in Non- Metropolitan Areas 30%20% Median Age37.937.2 Racial/Ethnic Distribution of Pop. 2010 % White % Black % Hispanic % Other 66 28 5 2 72 13 16 6 Educational Attainment 2006-2010 % High school grad. or higher % Bachelor’s degree or higher 83 24 85 28 Unemployment, 2010 10.9% 9.4% Median Household Income, 2006-2010 $43,939$51,914 Sources: U.S. Census Bureau, Kaiser Family Foundation.

6 Data Source: U.S. Census Bureau, American Community Survey. Percent of each racial/ethnic pop. living below federal poverty level; S.C., 2010 Poverty Gap

7 What is the impact of HIV/AIDS on the population?

8 South Carolina HIV/AIDS incidence, prevalence, and deaths Note: number of cases diagnosed in S.C. only; excludes out of state cases returning to S.C. Number of Cases

9 Disproportionate S.C. HIV impact by gender SEX No. (%) S.C. Total Population No. (%) of Total Estimated Living With HIV/AIDS, 2010 No. (%) of Total HIV-Only Diagnosis, 2009-2010 Male2,250,101 (49%)10,200 (69%)804 (77%) Female2,375,364 (51%)4,508 (31%)236 (23%) Total4,625,36414,708 (100%)1,040 (100%) Source: US Census Data; SCDHEC eHARS.

10 Proportion of persons living with HIV/AIDS by race/ethnicity, 2010

11 Disproportionate HIV impact by race/ethnicity/gender, S.C. Gender & Race/Ethnicity No. (%) SC Total Pop. No. (%) of Total Persons Living With HIV/AIDS, 2010 No.(%) of Total HIV Only Diagnosis, 2009-2010 Black Males607,917 (13%)6,893 (47%)602 (52%) Black Females694,071 (15%)3,679 (25%)275 (24%) White Males1,452,577 (31%)2,854 (19%)169 (15%) White Females1,516,434 (32%) 679 (5%)39 (3%) Hispanic Males 128,098 (3%) 355 (2%)42 (4%) Hisp. Females102,903 (2%) 110 (1%) 8 (1%)

12 Disproportionate S.C. HIV impact by age Age Range No. (%) SC Population No. (%) of Total Persons Living with HIV/AIDS, 2010 No. (%) of Total HIV-Only Diagnosis, 2009-2010 < 13 Years778,429 (17%)44 (<1%)1 (<1%) 13 – 19 Years445,996 (10%)137 (<1%)89 (8%) 20 – 44 Years1,525,842 (33%)6,818 (46%)730 (69%) 45+ Years1,875,097 (41%)14,708 (52%)241 (23%)

13 Deaths Due to AIDS (HIV) in South Carolina, 1990-2009 Source – Vital Records, S.C. Residence Data.

14 Characteristics of persons whose death was due to AIDS(HIV) in 2009 No.% Race/Sex Black Male12153 Black Female5323 White Male4118 White Female83 Age Group <1500 15-2463 25-448738 45+13659 Source – Vital Records, S.C. Residence Data.

15 Who is at risk for becoming infected with HIV/AIDS?

16 Proportion of persons living with HIV/AIDS by risk exposure, 2010 N=11,159 Note: Total excludes cases with no risk identified.

17 Proportion of HIV/AIDS cases by risk exposure, 2009-2010 N=1,040 Note: Total Excludes Cases with No Risk Identified.

18 Number of HIV/AIDS cases by year of diagnosis and risk, 2000-2010 Excludes persons with no risk reported. Number of Cases

19 Percent of Total Cases with Reported Risk Proportional distribution of male HIV/AIDS cases by exposure category, diagnosed 1999-2010

20 Proportional distribution of female HIV/AIDS cases, by exposure category, diagnosed 1999-2010 Percent of Total Cases with Reported Risk

21 Proportion of men with HIV/AIDS who have sex with men by race/ethnicity, diagnosed 2009-2010 N=753

22 Proportion of heterosexual HIV/AIDS cases by race/ethnicity, diagnosed 2009-2010 N=228

23 Proportion of injecting drug users diagnosed with HIV/AIDS 2009-2010 by race/sex N=38

24 Proportion of high school students indicating sexual risks, 2005-2011 Percent Source – SC Dept. of Education & CDC

25 Characteristics of people with Sexually Transmitted Diseases (STDs) in South Carolina

26 Year Number of Cases South Carolina reported Chlamydia cases by year of diagnosis, 2000-2010

27 Year Number of Cases South Carolina reported gonorrhea cases by year of diagnosis, 2000-2010

28 South Carolina reported Infectious Syphilis cases by year of diagnosis, 2000-2010 Number of Cases

29 What are the patterns of service utilization of persons living with HIV/AIDS?

30 Ryan White Part B Clients, N=9,208 Persons Living with HIV/AIDS, N=14,708 Race/Ethnicity White, not-Hispanic21%24% Black, not-Hispanic74%72% Hispanic3% Other2%<1% Sex Male65%69% Female35%31% Transgender<1%--- Age Group <13<1% 13-246%5% 25-4443%42% 45+51%52% Characteristics of Ryan White Part B clients compared to S.C. persons living with HIV/AIDS in 2010

31 2010 ADAP Patient Profile Compared to Persons Living with HIV/AIDS Profile 2010 S.C. HIV/AIDS Prevalence: 14,708 Direct Dispensing Total Served: 3,062 Insurance Program Total Served: 976 Male69%70%67% Female31%29%33% African American72%69%66% White24% 30% Hispanic/Latino3%5%1%

32 What are the characteristics of persons who know they are HIV+ but who are not receiving HIV primary medical care?

33 “In Care” and “Not in Care” defined: A person was reported as being “in care” if they had at least one CD4 or viral load test report in 2010, and that was > 30 days after diagnosis A person with no CD4 or viral load test report in this time frame would be defined as “not in care”

34 2010 S.C. HIV/AIDS cases estimated not in care vs. in care (N=16,378)

35 S.C. HIV/AIDS Cases NOT in care diagnosed through 2010 by mode of exposure Excludes cases with no risk identified, N = 4,682.

36 Kirk A. Shull S.C. DHEC 803-898-0284 shullka@dhec.sc.gov http://www.scdhec.gov/health/disease/stdhiv/docs/Epidemiologic Profile of HIV and AIDS in SC 2011.pdf


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