SASI



HIV/AIDS in Metropolitan Statistical Areas: 9 Southern StatesDuke Center for Health Policy and Inequalities Research Susan Reif, PhD, LCSW Elena Wilson MPH Kristen Sullivan PhD, MSW Donna Safley MPS Kathryn Whetten, PhD, MPH?Duke Center for Health Policy and Inequalities Research (CHPIR), Duke University, Durham, NC. March 2013. Executive Summary:The Southern US has been disproportionately affected by HIV, having the highest HIV diagnosis rates and the largest proportion of individuals diagnosed with HIV in 2010. ADDIN EN.CITE <EndNote><Cite><Author>Prejean</Author><Year>2012</Year><RecNum>182</RecNum><DisplayText><style face="superscript">1</style></DisplayText><record><rec-number>182</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">182</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Prejean, J</author><author>Tang, T</author><author>Hall, I</author></authors></contributors><titles><title>HIV diagnoses and prevalence in the southern region of the United States, 2007-2010</title><secondary-title>Journal of Community Health</secondary-title></titles><periodical><full-title>Journal of Community Health</full-title></periodical><volume>Epub</volume><edition>November </edition><section>1-13</section><dates><year>2012</year></dates><urls></urls></record></Cite></EndNote>1 Fifteen of the 20 Metropolitan Statistical Areas (MSAs: with populations of greater than 500,000) with the highest HIV diagnosis rates were located in a nine state region of the South (AL, FL, GA, LA, MS, NC, SC, TN, and East TX). ADDIN EN.CITE <EndNote><Cite><Author>Center for Disease Control and Prevention</Author><Year>2012</Year><RecNum>1</RecNum><DisplayText><style face="superscript">2</style></DisplayText><record><rec-number>1</rec-number><foreign-keys><key app="EN" db-id="efd5vsxekvtfxcevz205wr0etrtp5d2azzaw">1</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>Center for Disease Control and Prevention,</author></authors></contributors><titles><title>Diagnosis of HIV infection and AIDS in the United States and Dependent Areas, 2010: HIV Surveillance Report.</title></titles><volume>2012</volume><number>November</number><edition>22</edition><dates><year>2012</year></dates><urls><related-urls><url> This region, hereafter referred to as the targeted states, shares a similar cultural history and a disproportionate HIV epidemic. ADDIN EN.CITE <EndNote><Cite><Author>Reif</Author><Year>2011</Year><RecNum>2</RecNum><DisplayText><style face="superscript">3</style></DisplayText><record><rec-number>2</rec-number><foreign-keys><key app="EN" db-id="efd5vsxekvtfxcevz205wr0etrtp5d2azzaw">2</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>Reif, S</author><author>Whetten, K</author><author>Wilson, L</author><author>Gong, W</author></authors></contributors><titles><title>HIV/AIDS Epidemic in the South Reaches Crisis Proportions in the Last Decade</title></titles><volume>2012</volume><number>July</number><dates><year>2011</year></dates><pub-location>Durham</pub-location><urls><related-urls><url> The analysis for this report utilized data from CDC surveillance reports, 2008-2010, to examine the epidemiology and demographic characteristics of HIV in MSAs in the targeted states. Findings of this analysis included:Nine of the 10 MSAs with highest HIV diagnosis rates in 2008-2010 were in the targeted states. These 9 MSAs consistently appeared in the 10 highest MSA HIV diagnosis rates for all three years with the exception of Columbia SC, which entered the top 10 in 2010 and Charlotte NC, which moved out of the top 10 to the 12th highest HIV diagnosis rate in 2010. In 2010, nearly one-third (30%) of HIV diagnoses reported in MSAs were in the targeted states.In 2010 and 2008, 8 of the 10 MSAs with the highest HIV prevalence rates were in the targeted states and in 2009, 9 of the 10 MSAs with the highest HIV prevalence rates were in the targeted states.Seven of the 10 MSAs with the highest HIV diagnosis rates among African-American men and African-American women were in targeted states.Nearly one-half of new HIV diagnoses in 2010 in Jackson MS (48%), Atlanta GA (47%) and Charleston, SC (47%) were among African-American MSM. These MSAs had the highest percentage of new HIV diagnoses occurring among African-American MSM in the country. The average proportion of African-American MSM diagnosed with HIV in MSAs was 22%.Baton Rouge LA had the highest percentage of new HIV diagnoses occurring among African American females, at nearly one-third of new diagnoses (31%).Conclusions: Analysis of the HIV epidemiology and demographics for MSAs indicates that the vast majority of MSAs with the highest HIV diagnosis and HIV prevalence rates are in the targeted states. This trend was consistent over the last 3 years of available data (2008-2010) so is unlikely to be explained by fluctuations in HIV diagnosis rates over time. Targeted states contained some of the MSAs with the highest proportion of new diagnoses among women as well as the MSAs with the highest proportion of newly diagnosed cases among African-American MSM, a risk group that has been particularly affected by HIV and has not experienced the same declines in new HIV diagnoses as other populations. ADDIN EN.CITE <EndNote><Cite><Author>Center for Disease Control and Prevention</Author><Year>2012</Year><RecNum>181</RecNum><DisplayText><style face="superscript">4</style></DisplayText><record><rec-number>181</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">181</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Center for Disease Control and Prevention,</author></authors></contributors><titles><title>Estimated HIV Incidence in the United States, 2007-2010.</title><secondary-title>HIV Surveillance Report</secondary-title></titles><periodical><full-title>HIV Surveillance Report</full-title></periodical><volume>17</volume><number>4</number><dates><year>2012</year></dates><urls><related-urls><url> However, it is important to note that the HIV epidemic in the South is not solely concentrated in MSAs, as the South has a higher proportion of new HIV diagnoses in rural and suburban areas than all other regions and also has higher HIV diagnosis rates per 100,000 population in suburban and rural areas than the other US regions. ADDIN EN.CITE <EndNote><Cite><Author>Prejean</Author><Year>2012</Year><RecNum>182</RecNum><DisplayText><style face="superscript">1</style></DisplayText><record><rec-number>182</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">182</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Prejean, J</author><author>Tang, T</author><author>Hall, I</author></authors></contributors><titles><title>HIV diagnoses and prevalence in the southern region of the United States, 2007-2010</title><secondary-title>Journal of Community Health</secondary-title></titles><periodical><full-title>Journal of Community Health</full-title></periodical><volume>Epub</volume><edition>November </edition><section>1-13</section><dates><year>2012</year></dates><urls></urls></record></Cite></EndNote>1 These findings indicate the critical need for a focus on identifying and implementing effective HIV prevention and care strategies in order to abate the HIV epidemic in the Southern targeted states. HIV/AIDS in Metropolitan Statistical Areas Located in 9 Southern StatesAccording to 2010 data from the Centers for Disease Control and Prevention (CDC), nine of the 10 Metropolitan Statistical Areas (MSAs) with populations of greater than 500,000 with the highest HIV diagnosis rates and 15 of the top 20 MSAs with the highest HIV diagnosis rates were located in 9 southern states, primarily in the Southeast. ADDIN EN.CITE <EndNote><Cite><Author>Center for Disease Control and Prevention</Author><Year>2012</Year><RecNum>209</RecNum><DisplayText><style face="superscript">2</style></DisplayText><record><rec-number>209</rec-number><foreign-keys><key app="EN" db-id="xfpr5ea0httv9fewvr5pvszpsrfx5zff0aww">209</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>Center for Disease Control and Prevention,</author></authors></contributors><titles><title>Diagnosis of HIV infection and AIDS in the United States and Dependent Areas, 2010: HIV Surveillance Report.</title></titles><volume>2012</volume><number>November</number><edition>22</edition><dates><year>2012</year></dates><urls><related-urls><url> These states, AL, FL, GA, LA, MS, NC, SC, TN, and East TX, are hereafter referred to as the targeted states. They share similar cultural histories as well as similar HIV epidemics.PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5DZW50ZXIgZm9yIERpc2Vhc2UgQ29udHJvbCBhbmQgUHJl

dmVudGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4yMDk8L1JlY051bT48RGlz

cGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4yLDMsNSw2PC9zdHlsZT48L0Rpc3Bs

YXlUZXh0PjxyZWNvcmQ+PHJlYy1udW1iZXI+MjA5PC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+

PGtleSBhcHA9IkVOIiBkYi1pZD0ieGZwcjVlYTBodHR2OWZld3ZyNXB2c3pwc3JmeDV6ZmYwYXd3

Ij4yMDk8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9y

ZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRob3I+Q2VudGVyIGZvciBEaXNlYXNl

IENvbnRyb2wgYW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3JzPjwvY29udHJpYnV0b3Jz

Pjx0aXRsZXM+PHRpdGxlPkRpYWdub3NpcyBvZiBISVYgaW5mZWN0aW9uIGFuZCBBSURTIGluIHRo

ZSBVbml0ZWQgU3RhdGVzIGFuZCBEZXBlbmRlbnQgQXJlYXMsIDIwMTA6IEhJViBTdXJ2ZWlsbGFu

Y2UgUmVwb3J0LjwvdGl0bGU+PC90aXRsZXM+PHZvbHVtZT4yMDEyPC92b2x1bWU+PG51bWJlcj5O

b3ZlbWJlcjwvbnVtYmVyPjxlZGl0aW9uPjIyPC9lZGl0aW9uPjxkYXRlcz48eWVhcj4yMDEyPC95

ZWFyPjwvZGF0ZXM+PHVybHM+PHJlbGF0ZWQtdXJscz48dXJsPmh0dHA6Ly93d3cuY2RjLmdvdi9o

aXYvc3VydmVpbGxhbmNlL3Jlc291cmNlcy9yZXBvcnRzLzIwMTByZXBvcnQvaW5kZXguaHRtPC91

cmw+PC9yZWxhdGVkLXVybHM+PC91cmxzPjwvcmVjb3JkPjwvQ2l0ZT48Q2l0ZT48QXV0aG9yPkJh

cnRsZXk8L0F1dGhvcj48WWVhcj4xOTg4PC9ZZWFyPjxSZWNOdW0+ODE8L1JlY051bT48cmVjb3Jk

PjxyZWMtbnVtYmVyPjgxPC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+PGtleSBhcHA9IkVOIiBk

Yi1pZD0icmFmeDVyOTB1cHphZWVlcnZ3NXYwenJ6ZWFyeDU5Znoyc2V3Ij44MTwva2V5PjwvZm9y

ZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJCb29rIj42PC9yZWYtdHlwZT48Y29udHJpYnV0b3Jz

PjxhdXRob3JzPjxhdXRob3I+QmFydGxleSwgTjwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1

dG9ycz48dGl0bGVzPjx0aXRsZT5UaGUgRXZvbHV0aW9uIG9mIFNvdXRoZXJuIEN1bHR1cmU8L3Rp

dGxlPjwvdGl0bGVzPjxkYXRlcz48eWVhcj4xOTg4PC95ZWFyPjwvZGF0ZXM+PHB1Yi1sb2NhdGlv

bj5BdGhlbnMsIEdBPC9wdWItbG9jYXRpb24+PHB1Ymxpc2hlcj5Vbml2ZXJzaXR5IG9mIEdlb3Jn

aWEgUHJlc3M8L3B1Ymxpc2hlcj48dXJscz48L3VybHM+PC9yZWNvcmQ+PC9DaXRlPjxDaXRlPjxB

dXRob3I+V2lsc29uPC9BdXRob3I+PFllYXI+MTk4OTwvWWVhcj48UmVjTnVtPjgyPC9SZWNOdW0+

PHJlY29yZD48cmVjLW51bWJlcj44MjwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBw

PSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+ODI8L2tl

eT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48

Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRob3I+V2lsc29uLCBEPC9hdXRob3I+PGF1dGhvcj5G

ZXJyaXMsIFc8L2F1dGhvcj48L2F1dGhvcnM+PC9jb250cmlidXRvcnM+PHRpdGxlcz48dGl0bGU+

RW5jeWNsb3BlZGlhIG9mIFNvdXRoZXJuIGN1bHR1cmU8L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+

MjAxMTwvdm9sdW1lPjxudW1iZXI+OS8yMDExPC9udW1iZXI+PGRhdGVzPjx5ZWFyPjE5ODk8L3ll

YXI+PC9kYXRlcz48cHViLWxvY2F0aW9uPkNoYXBlbCBIaWxsLCBOQzwvcHViLWxvY2F0aW9uPjx1

cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5SZWlmPC9BdXRob3I+PFll

YXI+MjAxMTwvWWVhcj48UmVjTnVtPjIwNjwvUmVjTnVtPjxyZWNvcmQ+PHJlYy1udW1iZXI+MjA2

PC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+PGtleSBhcHA9IkVOIiBkYi1pZD0ieGZwcjVlYTBo

dHR2OWZld3ZyNXB2c3pwc3JmeDV6ZmYwYXd3Ij4yMDY8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVm

LXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3Jz

PjxhdXRob3I+UmVpZiwgUzwvYXV0aG9yPjxhdXRob3I+V2hldHRlbiwgSzwvYXV0aG9yPjxhdXRo

b3I+V2lsc29uLCBMPC9hdXRob3I+PGF1dGhvcj5Hb25nLCBXPC9hdXRob3I+PC9hdXRob3JzPjwv

Y29udHJpYnV0b3JzPjx0aXRsZXM+PHRpdGxlPkhJVi9BSURTIEVwaWRlbWljIGluIHRoZSBTb3V0

aCBSZWFjaGVzIENyaXNpcyBQcm9wb3J0aW9ucyBpbiB0aGUgTGFzdCBEZWNhZGU8L3RpdGxlPjwv

dGl0bGVzPjx2b2x1bWU+MjAxMjwvdm9sdW1lPjxudW1iZXI+SnVseTwvbnVtYmVyPjxkYXRlcz48

eWVhcj4yMDExPC95ZWFyPjwvZGF0ZXM+PHB1Yi1sb2NhdGlvbj5EdXJoYW08L3B1Yi1sb2NhdGlv

bj48dXJscz48cmVsYXRlZC11cmxzPjx1cmw+aHR0cDovL2dsb2JhbGhlYWx0aC5kdWtlLmVkdS9u

ZXdzLzIwMTEvUmVzZWFyY2hSZXBvcnRGaW5hbDMtMTIucGRmPC91cmw+PC9yZWxhdGVkLXVybHM+

PC91cmxzPjwvcmVjb3JkPjwvQ2l0ZT48L0VuZE5vdGU+AG==

ADDIN EN.CITE PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5DZW50ZXIgZm9yIERpc2Vhc2UgQ29udHJvbCBhbmQgUHJl

dmVudGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4yMDk8L1JlY051bT48RGlz

cGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4yLDMsNSw2PC9zdHlsZT48L0Rpc3Bs

YXlUZXh0PjxyZWNvcmQ+PHJlYy1udW1iZXI+MjA5PC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+

PGtleSBhcHA9IkVOIiBkYi1pZD0ieGZwcjVlYTBodHR2OWZld3ZyNXB2c3pwc3JmeDV6ZmYwYXd3

Ij4yMDk8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9y

ZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRob3I+Q2VudGVyIGZvciBEaXNlYXNl

IENvbnRyb2wgYW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3JzPjwvY29udHJpYnV0b3Jz

Pjx0aXRsZXM+PHRpdGxlPkRpYWdub3NpcyBvZiBISVYgaW5mZWN0aW9uIGFuZCBBSURTIGluIHRo

ZSBVbml0ZWQgU3RhdGVzIGFuZCBEZXBlbmRlbnQgQXJlYXMsIDIwMTA6IEhJViBTdXJ2ZWlsbGFu

Y2UgUmVwb3J0LjwvdGl0bGU+PC90aXRsZXM+PHZvbHVtZT4yMDEyPC92b2x1bWU+PG51bWJlcj5O

b3ZlbWJlcjwvbnVtYmVyPjxlZGl0aW9uPjIyPC9lZGl0aW9uPjxkYXRlcz48eWVhcj4yMDEyPC95

ZWFyPjwvZGF0ZXM+PHVybHM+PHJlbGF0ZWQtdXJscz48dXJsPmh0dHA6Ly93d3cuY2RjLmdvdi9o

aXYvc3VydmVpbGxhbmNlL3Jlc291cmNlcy9yZXBvcnRzLzIwMTByZXBvcnQvaW5kZXguaHRtPC91

cmw+PC9yZWxhdGVkLXVybHM+PC91cmxzPjwvcmVjb3JkPjwvQ2l0ZT48Q2l0ZT48QXV0aG9yPkJh

cnRsZXk8L0F1dGhvcj48WWVhcj4xOTg4PC9ZZWFyPjxSZWNOdW0+ODE8L1JlY051bT48cmVjb3Jk

PjxyZWMtbnVtYmVyPjgxPC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+PGtleSBhcHA9IkVOIiBk

Yi1pZD0icmFmeDVyOTB1cHphZWVlcnZ3NXYwenJ6ZWFyeDU5Znoyc2V3Ij44MTwva2V5PjwvZm9y

ZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJCb29rIj42PC9yZWYtdHlwZT48Y29udHJpYnV0b3Jz

PjxhdXRob3JzPjxhdXRob3I+QmFydGxleSwgTjwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1

dG9ycz48dGl0bGVzPjx0aXRsZT5UaGUgRXZvbHV0aW9uIG9mIFNvdXRoZXJuIEN1bHR1cmU8L3Rp

dGxlPjwvdGl0bGVzPjxkYXRlcz48eWVhcj4xOTg4PC95ZWFyPjwvZGF0ZXM+PHB1Yi1sb2NhdGlv

bj5BdGhlbnMsIEdBPC9wdWItbG9jYXRpb24+PHB1Ymxpc2hlcj5Vbml2ZXJzaXR5IG9mIEdlb3Jn

aWEgUHJlc3M8L3B1Ymxpc2hlcj48dXJscz48L3VybHM+PC9yZWNvcmQ+PC9DaXRlPjxDaXRlPjxB

dXRob3I+V2lsc29uPC9BdXRob3I+PFllYXI+MTk4OTwvWWVhcj48UmVjTnVtPjgyPC9SZWNOdW0+

PHJlY29yZD48cmVjLW51bWJlcj44MjwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBw

PSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+ODI8L2tl

eT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48

Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRob3I+V2lsc29uLCBEPC9hdXRob3I+PGF1dGhvcj5G

ZXJyaXMsIFc8L2F1dGhvcj48L2F1dGhvcnM+PC9jb250cmlidXRvcnM+PHRpdGxlcz48dGl0bGU+

RW5jeWNsb3BlZGlhIG9mIFNvdXRoZXJuIGN1bHR1cmU8L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+

MjAxMTwvdm9sdW1lPjxudW1iZXI+OS8yMDExPC9udW1iZXI+PGRhdGVzPjx5ZWFyPjE5ODk8L3ll

YXI+PC9kYXRlcz48cHViLWxvY2F0aW9uPkNoYXBlbCBIaWxsLCBOQzwvcHViLWxvY2F0aW9uPjx1

cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5SZWlmPC9BdXRob3I+PFll

YXI+MjAxMTwvWWVhcj48UmVjTnVtPjIwNjwvUmVjTnVtPjxyZWNvcmQ+PHJlYy1udW1iZXI+MjA2

PC9yZWMtbnVtYmVyPjxmb3JlaWduLWtleXM+PGtleSBhcHA9IkVOIiBkYi1pZD0ieGZwcjVlYTBo

dHR2OWZld3ZyNXB2c3pwc3JmeDV6ZmYwYXd3Ij4yMDY8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVm

LXR5cGUgbmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3Jz

PjxhdXRob3I+UmVpZiwgUzwvYXV0aG9yPjxhdXRob3I+V2hldHRlbiwgSzwvYXV0aG9yPjxhdXRo

b3I+V2lsc29uLCBMPC9hdXRob3I+PGF1dGhvcj5Hb25nLCBXPC9hdXRob3I+PC9hdXRob3JzPjwv

Y29udHJpYnV0b3JzPjx0aXRsZXM+PHRpdGxlPkhJVi9BSURTIEVwaWRlbWljIGluIHRoZSBTb3V0

aCBSZWFjaGVzIENyaXNpcyBQcm9wb3J0aW9ucyBpbiB0aGUgTGFzdCBEZWNhZGU8L3RpdGxlPjwv

dGl0bGVzPjx2b2x1bWU+MjAxMjwvdm9sdW1lPjxudW1iZXI+SnVseTwvbnVtYmVyPjxkYXRlcz48

eWVhcj4yMDExPC95ZWFyPjwvZGF0ZXM+PHB1Yi1sb2NhdGlvbj5EdXJoYW08L3B1Yi1sb2NhdGlv

bj48dXJscz48cmVsYXRlZC11cmxzPjx1cmw+aHR0cDovL2dsb2JhbGhlYWx0aC5kdWtlLmVkdS9u

ZXdzLzIwMTEvUmVzZWFyY2hSZXBvcnRGaW5hbDMtMTIucGRmPC91cmw+PC9yZWxhdGVkLXVybHM+

PC91cmxzPjwvcmVjb3JkPjwvQ2l0ZT48L0VuZE5vdGU+AG==

ADDIN EN.CITE.DATA 2,3,5,6 This report uses data published by the CDC to examine HIV diagnosis and prevalence rates for targeted state MSAs in 2010 and to study trends in diagnosis and prevalence rates from 2008-2010 for targeted state MSAs.PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5DZW50ZXIgZm9yIERpc2Vhc2UgQ29udHJvbCBhbmQgUHJl

dmVudGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4yMDk8L1JlY051bT48RGlz

cGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4yLDcsODwvc3R5bGU+PC9EaXNwbGF5

VGV4dD48cmVjb3JkPjxyZWMtbnVtYmVyPjIwOTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxr

ZXkgYXBwPSJFTiIgZGItaWQ9InhmcHI1ZWEwaHR0djlmZXd2cjVwdnN6cHNyZng1emZmMGF3dyI+

MjA5PC9rZXk+PC9mb3JlaWduLWtleXM+PHJlZi10eXBlIG5hbWU9IldlYiBQYWdlIj4xMjwvcmVm

LXR5cGU+PGNvbnRyaWJ1dG9ycz48YXV0aG9ycz48YXV0aG9yPkNlbnRlciBmb3IgRGlzZWFzZSBD

b250cm9sIGFuZCBQcmV2ZW50aW9uLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48

dGl0bGVzPjx0aXRsZT5EaWFnbm9zaXMgb2YgSElWIGluZmVjdGlvbiBhbmQgQUlEUyBpbiB0aGUg

VW5pdGVkIFN0YXRlcyBhbmQgRGVwZW5kZW50IEFyZWFzLCAyMDEwOiBISVYgU3VydmVpbGxhbmNl

IFJlcG9ydC48L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+MjAxMjwvdm9sdW1lPjxudW1iZXI+Tm92

ZW1iZXI8L251bWJlcj48ZWRpdGlvbj4yMjwvZWRpdGlvbj48ZGF0ZXM+PHllYXI+MjAxMjwveWVh

cj48L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3LmNkYy5nb3YvaGl2

L3N1cnZlaWxsYW5jZS9yZXNvdXJjZXMvcmVwb3J0cy8yMDEwcmVwb3J0L2luZGV4Lmh0bTwvdXJs

PjwvcmVsYXRlZC11cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5DZW50

ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wgYW5kIFByZXZlbnRpb248L0F1dGhvcj48WWVhcj4yMDEx

PC9ZZWFyPjxSZWNOdW0+NDwvUmVjTnVtPjxyZWNvcmQ+PHJlYy1udW1iZXI+NDwvcmVjLW51bWJl

cj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2

MHpyemVhcng1OWZ6MnNldyI+NDwva2V5PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJX

ZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxjb250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5DZW50

ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wgYW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3Jz

PjwvY29udHJpYnV0b3JzPjx0aXRsZXM+PHRpdGxlPkhJViBTdXJ2ZWlsbGFuY2UgUmVwb3J0LCAy

MDA5PC90aXRsZT48L3RpdGxlcz48ZGF0ZXM+PHllYXI+MjAxMTwveWVhcj48L2RhdGVzPjx1cmxz

PjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3LmNkYy5nb3YvaGl2L3N1cnZlaWxsYW5jZS9y

ZXNvdXJjZXMvcmVwb3J0cy8yMDA5cmVwb3J0LzwvdXJsPjwvcmVsYXRlZC11cmxzPjwvdXJscz48

L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5DZW50ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wg

YW5kIFByZXZlbnRpb248L0F1dGhvcj48WWVhcj4yMDEwPC9ZZWFyPjxSZWNOdW0+NTwvUmVjTnVt

PjxyZWNvcmQ+PHJlYy1udW1iZXI+NTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBw

PSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+NTwva2V5

PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJXZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxj

b250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5DZW50ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wg

YW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3JzPjwvY29udHJpYnV0b3JzPjx0aXRsZXM+

PHRpdGxlPkhJViBTdXJ2ZWlsbGFuY2UgUmVwb3J0LCAyMDA4PC90aXRsZT48L3RpdGxlcz48ZGF0

ZXM+PHllYXI+MjAxMDwveWVhcj48L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRw

Oi8vd3d3LmNkYy5nb3YvaGl2L3N1cnZlaWxsYW5jZS9yZXNvdXJjZXMvcmVwb3J0cy8yMDA4cmVw

b3J0L3BkZi8yMDA4U3VydmVpbGxhbmNlUmVwb3J0LnBkZjwvdXJsPjwvcmVsYXRlZC11cmxzPjwv

dXJscz48L3JlY29yZD48L0NpdGU+PC9FbmROb3RlPgB=

ADDIN EN.CITE PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5DZW50ZXIgZm9yIERpc2Vhc2UgQ29udHJvbCBhbmQgUHJl

dmVudGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4yMDk8L1JlY051bT48RGlz

cGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4yLDcsODwvc3R5bGU+PC9EaXNwbGF5

VGV4dD48cmVjb3JkPjxyZWMtbnVtYmVyPjIwOTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxr

ZXkgYXBwPSJFTiIgZGItaWQ9InhmcHI1ZWEwaHR0djlmZXd2cjVwdnN6cHNyZng1emZmMGF3dyI+

MjA5PC9rZXk+PC9mb3JlaWduLWtleXM+PHJlZi10eXBlIG5hbWU9IldlYiBQYWdlIj4xMjwvcmVm

LXR5cGU+PGNvbnRyaWJ1dG9ycz48YXV0aG9ycz48YXV0aG9yPkNlbnRlciBmb3IgRGlzZWFzZSBD

b250cm9sIGFuZCBQcmV2ZW50aW9uLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48

dGl0bGVzPjx0aXRsZT5EaWFnbm9zaXMgb2YgSElWIGluZmVjdGlvbiBhbmQgQUlEUyBpbiB0aGUg

VW5pdGVkIFN0YXRlcyBhbmQgRGVwZW5kZW50IEFyZWFzLCAyMDEwOiBISVYgU3VydmVpbGxhbmNl

IFJlcG9ydC48L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+MjAxMjwvdm9sdW1lPjxudW1iZXI+Tm92

ZW1iZXI8L251bWJlcj48ZWRpdGlvbj4yMjwvZWRpdGlvbj48ZGF0ZXM+PHllYXI+MjAxMjwveWVh

cj48L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3LmNkYy5nb3YvaGl2

L3N1cnZlaWxsYW5jZS9yZXNvdXJjZXMvcmVwb3J0cy8yMDEwcmVwb3J0L2luZGV4Lmh0bTwvdXJs

PjwvcmVsYXRlZC11cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5DZW50

ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wgYW5kIFByZXZlbnRpb248L0F1dGhvcj48WWVhcj4yMDEx

PC9ZZWFyPjxSZWNOdW0+NDwvUmVjTnVtPjxyZWNvcmQ+PHJlYy1udW1iZXI+NDwvcmVjLW51bWJl

cj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2

MHpyemVhcng1OWZ6MnNldyI+NDwva2V5PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJX

ZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxjb250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5DZW50

ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wgYW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3Jz

PjwvY29udHJpYnV0b3JzPjx0aXRsZXM+PHRpdGxlPkhJViBTdXJ2ZWlsbGFuY2UgUmVwb3J0LCAy

MDA5PC90aXRsZT48L3RpdGxlcz48ZGF0ZXM+PHllYXI+MjAxMTwveWVhcj48L2RhdGVzPjx1cmxz

PjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3LmNkYy5nb3YvaGl2L3N1cnZlaWxsYW5jZS9y

ZXNvdXJjZXMvcmVwb3J0cy8yMDA5cmVwb3J0LzwvdXJsPjwvcmVsYXRlZC11cmxzPjwvdXJscz48

L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5DZW50ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wg

YW5kIFByZXZlbnRpb248L0F1dGhvcj48WWVhcj4yMDEwPC9ZZWFyPjxSZWNOdW0+NTwvUmVjTnVt

PjxyZWNvcmQ+PHJlYy1udW1iZXI+NTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBw

PSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+NTwva2V5

PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJXZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxj

b250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5DZW50ZXJzIGZvciBEaXNlYXNlIENvbnRyb2wg

YW5kIFByZXZlbnRpb24sPC9hdXRob3I+PC9hdXRob3JzPjwvY29udHJpYnV0b3JzPjx0aXRsZXM+

PHRpdGxlPkhJViBTdXJ2ZWlsbGFuY2UgUmVwb3J0LCAyMDA4PC90aXRsZT48L3RpdGxlcz48ZGF0

ZXM+PHllYXI+MjAxMDwveWVhcj48L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRw

Oi8vd3d3LmNkYy5nb3YvaGl2L3N1cnZlaWxsYW5jZS9yZXNvdXJjZXMvcmVwb3J0cy8yMDA4cmVw

b3J0L3BkZi8yMDA4U3VydmVpbGxhbmNlUmVwb3J0LnBkZjwvdXJsPjwvcmVsYXRlZC11cmxzPjwv

dXJscz48L3JlY29yZD48L0NpdGU+PC9FbmROb3RlPgB=

ADDIN EN.CITE.DATA 2,7,8 In addition, the report utilizes information from a recent CDC data report that presented HIV epidemiology among adults and adolescents in MSAs by characteristics such as gender, age, and race/ethnicity. ADDIN EN.CITE <EndNote><Cite><Author>Center for Disease Control and Prevention</Author><Year>2013</Year><RecNum>180</RecNum><DisplayText><style face="superscript">9</style></DisplayText><record><rec-number>180</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">180</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>Center for Disease Control and Prevention,</author></authors></contributors><titles><title>Diagnosed HIV infection among adults and adolescents in Metropolitan Statistical Areas - United States and Puerto Rico 2010.</title><secondary-title>HIV Surveillance Report: Supplemental Report. </secondary-title></titles><volume>18</volume><num-vols>(no.1)</num-vols><dates><year>2013</year></dates><urls><related-urls><url> Finally, the report includes a simple sensitivity analysis to examine the extent to which selected MSAs would change in the ranking for highest HIV diagnosis rates if they had 10-25% fewer individuals diagnosed with HIV. This analysis provides information about how sensitive the rankings of these MSAs would be to relatively small changes in the numbers diagnosed. HIV Diagnosis Rates in MSAs 2008-2010 (Table 1):2057400334010The CDC HIV Surveillance Report, 2010, provided information about the MSAs that had the highest HIV diagnosis rates (Figure 1). Nine of the ten MSAs with the highest HIV diagnosis rates were in the targeted states, including Miami, Baton Rouge, New Orleans, Jackson MS, Memphis, Orlando, Columbia SC, Atlanta, and Jacksonville FL (in order from highest diagnosis rate). New York City ranked 7th for HIV diagnosis rates and was the only MSA in the top 10 for HIV diagnosis rates not located in the targeted states. In 2010, nearly one-third (30%) of HIV diagnoses reported in MSAs were in the targeted states. The targeted states also had 9 of the 10 MSAs with the highest HIV diagnosis rates in 2008 and 2009 (Figure 2). Consistent with the 2010 findings, Miami had the highest HIV diagnosis rates of any MSA in 2008 and 2009. Other targeted state MSAs changed rankings somewhat over the 3-year period. For example, Columbia SC increased from the 15th highest diagnosis rate in 2008 to 11th in 2009 and 8th in 2010, while Atlanta went from 2nd in 2008 to 9th in 2010. For seven of the MSAs among the top 10 highest HIV diagnosis rates in 2010, the HIV diagnosis rates decreased since 2008. However, for some areas such as Columbia SC and Baton Rouge the rates did not improve over time.Table 1: Ten MSAs with the highest HIV diagnosis rates 2008-2010Population 2010 ADDIN EN.CITE <EndNote><Cite><Author>U.S. Census Bureau</Author><RecNum>83</RecNum><DisplayText><style face="superscript">10</style></DisplayText><record><rec-number>83</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">83</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>U.S. Census Bureau, </author></authors></contributors><titles><title>Census Regions and Divisions of the United States</title></titles><volume>2011</volume><number>November</number><dates></dates><urls><related-urls><url> (ref)2010Ranking2009Ranking2008RankingMiami FL5,414,77249.7152170.31Baton Rouge LA774,32743243.12445New Orleans LA1,134,02936.9337.16417Jackson MS537,28534439.2333.910Memphis TN1,285,73233.7538.84 45.13Orlando FL2,054,57432.9634.78416New York City19,006,79832.3734.2936.78Columbia SC728,06330.9830.21128.715Atlanta GA5,376,28530937.75472Jacksonville FL1,313,22829.31036.4744.14Charlotte1,701,79926.31230.21036.69HIV Prevalence Rates in MSAs 2008-2010 (Table 2):For HIV prevalence, the targeted states contained 8 of the 10 MSAs with the highest HIV prevalence rates, including Miami, New Orleans, Jackson MS, Memphis, Baton Rouge, Columbia SC, Orlando, and Jacksonville FL (in order from the highest HIV prevalence rate) in 2010. In 2009, the targeted states had 9 of the 10 MSAs with the highest HIV prevalence rates. However, San Francisco did not have estimated HIV prevalence data available in 2009 so was not included among the MSAs with the highest HIV prevalence rates. In 2008, the targeted states contained 8 of the 10 MSAs with the highest HIV prevalence rates. New York and New Haven CT were also included in the 10 highest HIV prevalence rates in 2008. Similar to HIV diagnosis rates, Miami topped the list for highest HIV prevalence rates in 2008-2010. Prevalence rates decreased from 2008-2010 in about half of the targeted state MSAs that were among the 10 highest HIV prevalence rates in 2010.Table 2: Ten MSAs with the highest HIV prevalence rates 2008-20102010Ranking2009Ranking2008RankingMiami FL868.51859.518881New York739.32770.62708.52New Orleans LA620.23637.83657.73Jackson MS545.84535.44562.84San Francisco5355No dataNo DataMemphis TN528.16500.55 495.66Baton Rouge480.27481.974677Columbia, SC474.88494.46511.95Orlando, FL451.39439.28446.38Jacksonville FL424.710416.310419.49Atlanta424.211433.99396.311HIV Diagnosis Rates in MSAs by Gender, Age, and Race/Ethnicity, 2010 (Table 3):The CDC report on HIV diagnosis and prevalence in MSAs presented HIV diagnosis data by gender and then further separated the data by race/ethnicity and age.Gender:In 2010, 8 of the 10 MSAs with the highest HIV diagnosis rate among men were located in targeted states. Miami had the highest HIV diagnosis rate in the US for men, followed by Baton Rouge, New Orleans, Jackson MS, and Memphis TN. For women, the targeted states contain 9 of the 10 MSAs with the highest HIV diagnosis rates. Baton Rouge had the highest HIV diagnosis rate among women of any MSA followed by Miami, Jacksonville FL, New Orleans, and Memphis TN. The targeted states also had 3 of the 5 MSAs with the highest proportion of women among individuals newly diagnosed with HIV. These MSAs included Cape Coral/Fort Myers (35.1%), Baton Rouge (34.4%), and Jacksonville FL (33.8%). Gender and race/ethnicity and mode of transmission:Men: Similar to the findings for all men, the rate of HIV diagnosis among African-American men was highest in Miami, with Baton Rouge only slightly lower. Seven of the 10 MSAs with the highest HIV diagnosis rates among African-American men were in targeted states. However, Jackson MS had the highest proportion of new HIV diagnoses occurring in African-American men (64%) followed by Memphis (62%). For mode of HIV transmission, there were relatively large disparities between targeted state MSAs in the proportion of new HIV diagnoses reported among MSM. For example, in Atlanta 65% of new HIV diagnoses were reported to be among MSM while only 43% of new HIV diagnoses in Baton Rouge were reported to be among MSM. According to CDC estimates, nearly one-half of new HIV diagnoses in 2010 in Jackson MS (48%), Atlanta GA (47%) and Charleston, SC (47%) were among African-American MSM. These MSAs had the highest percentage of new HIV diagnoses occurring among African-American MSM. The next highest proportions of estimated HIV diagnoses occurring among African-American MSM were in Birmingham AL (44%), Memphis TN (43%), Columbia SC (43%), Charlotte NC (43%) and Greensboro NC (43%). Among MSAs, the average proportion of those diagnosed with HIV that were African-American MSM was 22%. The figures for MSM may be subject to error, particularly in highly stigmatized areas, as transmission category is often unreported or reported as unknown. Women: For African-American females, the HIV diagnosis rate was highest in the Cape Coral-Fort Myers FL MSA and second in Miami. Seven of the 10 MSAs with the highest HIV diagnosis rates among African-American women were in the targeted states. However, Baton Rouge had the highest percentage of new HIV diagnoses occurring among African American females, at nearly one-third of new diagnoses (31%). The MSAs with the next highest proportion of new HIV diagnoses occurring in African-American women were Jacksonville FL (26%), Bridgeport-Stamford-Norwalk CT (26%), Memphis (23%) and New Orleans (23%), Cape Coral-Ft. Myers (23%), and Richmond VA (23%). Gender and Age:The CDC report also stratified the HIV diagnoses in MSAs by gender and age and found that Columbia SC had the highest rate of new HIV diagnoses among 13-24 year old males (101.8), followed by Jackson MS (88.6) and New Orleans (88.5). All of the ten MSAs with the highest diagnosis rates among males 13-24 were in the targeted states and 8 of the 10 MSAs with the highest diagnosis rates among females 13-24 were in the targeted states. The highest rate of new HIV diagnoses in females 13-24 was in Baton Rouge LA (34.4) followed by New Orleans (26.3).Table 3: Demographic Characteristics of HIV diagnoses in MSAs^Rate* -MalesRate*-FemaleProportion femaleProportion MSMProportion African-American femaleProportion African-American MSMMiami FL93.127.5.24.54.18.15Baton Rouge LA70.135.34.43.31.34New Orleans LA69.821.3.25.56.23.35Jackson MS66.820.1.25.56.22.48Memphis TN65.620.3.25.53.23.43Orlando FL61.718.1.23.60.15.18New York City60.518.5.25.55.15.20Columbia SC62.313.8.20.62.16.43Atlanta GA61.414.3.20.65.17.47Jacksonville FL48.723.1.34.45.26.24LA54.56.1.10.82.038.17San Francisco51.65.8.10.70.043.15*Rate per 100,000 population^Among adolescents and adultsHIV Diagnosis Sensitivity (Table 4):HIV diagnosis rates from specific geographic regions, particularly less populous MSAs, may be sensitive to small changes in the number of individuals diagnosed during a period of time. For example if a small to mid-size MSA had an abnormally high number of HIV tests performed in one year, that MSA may experience a greater than average number of new HIV diagnoses thus elevating the MSA’s diagnosis rate for that year. To examine the potential effect that an abnormally high testing year may have had on targeted state MSAs that were included among the MSAs with the highest HIV diagnosis rates in 2010, a sensitivity analysis was performed. This sensitivity analysis examined changes in HIV diagnosis rate rankings that would occur with a 10% and 25% decrease in HIV diagnoses in 2010 for 4 targeted state MSAs including Baton Rouge, Memphis, Jackson, and Columbia. For Baton Rouge, a decrease of 10% would not change their ranking of having the 2nd highest HIV diagnosis rate of any MSA. Even with a drop of 25% (n=85) of new diagnoses, Baton Rouge would remain among the 10 MSAs with the highest HIV diagnosis rates. The other 3 MSAs were more sensitive to decreases in HIV diagnoses. For example, a 10% decrease in diagnoses would not move the MSAs out of the 10 MSAs with the highest HIV diagnosis rates but a 25% decrease in new HIV diagnoses would move all 3 MSAs outside the 10 highest HIV diagnosis rates. However, another targeted state MSA (Houston, TX), which currently has the 11th highest HIV diagnosis rate, would then be among the 10 MSAs with the highest HIV diagnosis rate. Table 4: Sensitivity of HIV diagnosis ranking of targeted state MSAsCity2010 number of diagnoses, diagnosis rate and placement in top 10 for diagnosis rate10% decrease in cases of HIV diagnoses25% decrease in cases of HIV diagnosesBaton Rouge339 (43.0/100,00) 2nd34 fewer cases – remains 2nd 85 fewer casesmoves to 7thJackson 184 (34.0/100,000)4th18 fewer casesmoves to 7th46 fewer cases moves to 12thColumbia230 (30.9/100,000)8th23 fewer casesmoves to 10th58 fewer casesmoves to 18thMemphis440 (33.7/100,000)5th44 fewer casesmoves to 7th110 fewer casesmoves to 12thConclusions:Data from the CDC regarding HIV epidemiology in US MSAs indicate a concentration of the highest HIV diagnosis and prevalence rates from 2008-2010 in the Southern US, particularly the targeted states of the South. In all three years, 9 of the 10 MSAs with the highest HIV diagnosis rates were in the targeted states. The 9 targeted state MSAs that were among the ten MSAs with the highest HIV diagnosis rates remained fairly consistent over the three year period with the exception of Columbia SC, which entered the 10 highest MSAs for HIV diagnosis rates in 2010 and replaced Charlotte NC. The Charlotte MSA had the 12th highest HIV diagnosis rate in 2010. Miami topped the list for HIV diagnosis rates in all three years while other targeted state MSAs had some movement up or down in their HIV diagnosis rankings during the 3 year period. For the majority of the MSAs, the HIV diagnosis rates decreased over the 3-year period. Examination of the gender and racial breakdown of new HIV diagnoses in MSAs not surprisingly reveals differences between targeted state MSAs in characteristics of newly diagnosed individuals. For example, in Miami 25% of new HIV diagnoses were among women whereas in Baton Rouge, 34% of new HIV diagnoses were among women. Jackson MS had the highest percentage of new HIV diagnoses that were African-American MSM (47%), a risk group that has been particularly affected by HIV and have not experienced the declines in new HIV diagnoses that other populations have experienced. ADDIN EN.CITE <EndNote><Cite><Author>Center for Disease Control and Prevention</Author><Year>2012</Year><RecNum>181</RecNum><DisplayText><style face="superscript">4</style></DisplayText><record><rec-number>181</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">181</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Center for Disease Control and Prevention,</author></authors></contributors><titles><title>Estimated HIV Incidence in the United States, 2007-2010.</title><secondary-title>HIV Surveillance Report</secondary-title></titles><periodical><full-title>HIV Surveillance Report</full-title></periodical><volume>17</volume><number>4</number><dates><year>2012</year></dates><urls><related-urls><url> Although the HIV diagnosis data demonstrate that the highest HIV diagnosis rates occur in Southern MSAs, there are data limitations to be noted. Estimated HIV diagnosis rates are not available for a handful of MSAs, including Washington DC and Baltimore, which have particularly high numbers of individuals diagnosed with HIV. In addition, diagnosis rates, especially for smaller MSAs, may be sensitive to small changes in the number of individuals testing HIV-positive in a year. The use of multiple years of data provides some assurance of stability in the finding that targeted state MSAs have been particularly affected by HIV in recent years. Furthermore, although the sensitivity analyses performed for several targeted state MSAs indicated that a 25% decrease in 2010 HIV diagnoses would move some of the MSAs out of the 10 highest HIV diagnosis rates, additional targeted state MSAs would replace them as two MSAs, Houston and Charlotte, have the 11th and 12th highest MSA HIV diagnosis rates. Targeted states also account for 15 of the 20 MSAs with the highest HIV diagnosis rates. The etiology of the high rates of HIV diagnoses in MSAs located in targeted states is not clearly elucidated; however, contributing factors such as higher levels of poverty, HIV-related stigma, and other sexually transmitted infections have been implicated as factors contributing to the Southern HIV epidemic.PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5SZWlmPC9BdXRob3I+PFllYXI+MjAxMTwvWWVhcj48UmVj

TnVtPjI8L1JlY051bT48RGlzcGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4zLDEx

LDEyPC9zdHlsZT48L0Rpc3BsYXlUZXh0PjxyZWNvcmQ+PHJlYy1udW1iZXI+MjwvcmVjLW51bWJl

cj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InNleGUyYXJzYXdldzllZWZ6cDh4

YXp0azlkMncweDV0NTJ0YSI+Mjwva2V5PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJX

ZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxjb250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5SZWlm

LCBTPC9hdXRob3I+PGF1dGhvcj5XaGV0dGVuLCBLPC9hdXRob3I+PGF1dGhvcj5XaWxzb24sIEw8

L2F1dGhvcj48YXV0aG9yPkdvbmcsIFc8L2F1dGhvcj48L2F1dGhvcnM+PC9jb250cmlidXRvcnM+

PHRpdGxlcz48dGl0bGU+SElWL0FJRFMgRXBpZGVtaWMgaW4gdGhlIFNvdXRoIFJlYWNoZXMgQ3Jp

c2lzIFByb3BvcnRpb25zIGluIHRoZSBMYXN0IERlY2FkZTwvdGl0bGU+PC90aXRsZXM+PHZvbHVt

ZT4yMDEyPC92b2x1bWU+PG51bWJlcj5KdWx5PC9udW1iZXI+PGRhdGVzPjx5ZWFyPjIwMTE8L3ll

YXI+PC9kYXRlcz48cHViLWxvY2F0aW9uPkR1cmhhbTwvcHViLWxvY2F0aW9uPjx1cmxzPjxyZWxh

dGVkLXVybHM+PHVybD5odHRwOi8vZ2xvYmFsaGVhbHRoLmR1a2UuZWR1L25ld3MvMjAxMS9SZXNl

YXJjaFJlcG9ydEZpbmFsMy0xMi5wZGY8L3VybD48L3JlbGF0ZWQtdXJscz48L3VybHM+PC9yZWNv

cmQ+PC9DaXRlPjxDaXRlPjxBdXRob3I+SHVtYW4gUmlnaHRzIFdhdGNoPC9BdXRob3I+PFllYXI+

MjAxMDwvWWVhcj48UmVjTnVtPjY5PC9SZWNOdW0+PHJlY29yZD48cmVjLW51bWJlcj42OTwvcmVj

LW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVl

ZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+Njk8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUg

bmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRo

b3I+SHVtYW4gUmlnaHRzIFdhdGNoLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48

dGl0bGVzPjx0aXRsZT5Tb3V0aGVybiBFeHBvc3VyZTogSHVtYW4gUmlnaHRzIGFuZCBISVYgaW4g

dGhlIFNvdXRoZXJuIFVuaXRlZCBTdGF0ZXM8L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+MjAxMTwv

dm9sdW1lPjxudW1iZXI+Tm92ZW1iZXI8L251bWJlcj48ZGF0ZXM+PHllYXI+MjAxMDwveWVhcj48

L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3Lmhydy5vcmcvc2l0ZXMv

ZGVmYXVsdC9maWxlcy9yZWxhdGVkX21hdGVyaWFsL0JQYXBlcnNvdXRoMTEyMl82LnBkZjwvdXJs

PjwvcmVsYXRlZC11cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5Tb3V0

aGVybiBBSURTIENvYWxpdGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4xODk8

L1JlY051bT48cmVjb3JkPjxyZWMtbnVtYmVyPjE4OTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlz

PjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNl

dyI+MTg5PC9rZXk+PC9mb3JlaWduLWtleXM+PHJlZi10eXBlIG5hbWU9IldlYiBQYWdlIj4xMjwv

cmVmLXR5cGU+PGNvbnRyaWJ1dG9ycz48YXV0aG9ycz48YXV0aG9yPlNvdXRoZXJuIEFJRFMgQ29h

bGl0aW9uLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48dGl0bGVzPjx0aXRsZT5T

b3V0aGVybiBTdGF0ZXMgTWFuaWZlc3RvOiBVcGRhdGUgMjAxMiBQb2xpY3kgQnJpZWYgYW5kIFJl

Y29tbWVuZGF0aW9uczwvdGl0bGU+PC90aXRsZXM+PHZvbHVtZT4yMDEyPC92b2x1bWU+PG51bWJl

cj5NYXkgMjAxMzwvbnVtYmVyPjxkYXRlcz48eWVhcj4yMDEyPC95ZWFyPjwvZGF0ZXM+PHVybHM+

PHJlbGF0ZWQtdXJscz48dXJsPmh0dHA6Ly93d3cuc291dGhlcm5haWRzY29hbGl0aW9uLm9yZy9T

b3V0aGVybitTdGF0ZXMrTWFuaWZlc3RvLStVcGRhdGUrMjAxMi5wZGY8L3VybD48L3JlbGF0ZWQt

dXJscz48L3VybHM+PC9yZWNvcmQ+PC9DaXRlPjwvRW5kTm90ZT4A

ADDIN EN.CITE PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5SZWlmPC9BdXRob3I+PFllYXI+MjAxMTwvWWVhcj48UmVj

TnVtPjI8L1JlY051bT48RGlzcGxheVRleHQ+PHN0eWxlIGZhY2U9InN1cGVyc2NyaXB0Ij4zLDEx

LDEyPC9zdHlsZT48L0Rpc3BsYXlUZXh0PjxyZWNvcmQ+PHJlYy1udW1iZXI+MjwvcmVjLW51bWJl

cj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InNleGUyYXJzYXdldzllZWZ6cDh4

YXp0azlkMncweDV0NTJ0YSI+Mjwva2V5PjwvZm9yZWlnbi1rZXlzPjxyZWYtdHlwZSBuYW1lPSJX

ZWIgUGFnZSI+MTI8L3JlZi10eXBlPjxjb250cmlidXRvcnM+PGF1dGhvcnM+PGF1dGhvcj5SZWlm

LCBTPC9hdXRob3I+PGF1dGhvcj5XaGV0dGVuLCBLPC9hdXRob3I+PGF1dGhvcj5XaWxzb24sIEw8

L2F1dGhvcj48YXV0aG9yPkdvbmcsIFc8L2F1dGhvcj48L2F1dGhvcnM+PC9jb250cmlidXRvcnM+

PHRpdGxlcz48dGl0bGU+SElWL0FJRFMgRXBpZGVtaWMgaW4gdGhlIFNvdXRoIFJlYWNoZXMgQ3Jp

c2lzIFByb3BvcnRpb25zIGluIHRoZSBMYXN0IERlY2FkZTwvdGl0bGU+PC90aXRsZXM+PHZvbHVt

ZT4yMDEyPC92b2x1bWU+PG51bWJlcj5KdWx5PC9udW1iZXI+PGRhdGVzPjx5ZWFyPjIwMTE8L3ll

YXI+PC9kYXRlcz48cHViLWxvY2F0aW9uPkR1cmhhbTwvcHViLWxvY2F0aW9uPjx1cmxzPjxyZWxh

dGVkLXVybHM+PHVybD5odHRwOi8vZ2xvYmFsaGVhbHRoLmR1a2UuZWR1L25ld3MvMjAxMS9SZXNl

YXJjaFJlcG9ydEZpbmFsMy0xMi5wZGY8L3VybD48L3JlbGF0ZWQtdXJscz48L3VybHM+PC9yZWNv

cmQ+PC9DaXRlPjxDaXRlPjxBdXRob3I+SHVtYW4gUmlnaHRzIFdhdGNoPC9BdXRob3I+PFllYXI+

MjAxMDwvWWVhcj48UmVjTnVtPjY5PC9SZWNOdW0+PHJlY29yZD48cmVjLW51bWJlcj42OTwvcmVj

LW51bWJlcj48Zm9yZWlnbi1rZXlzPjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVl

ZXJ2dzV2MHpyemVhcng1OWZ6MnNldyI+Njk8L2tleT48L2ZvcmVpZ24ta2V5cz48cmVmLXR5cGUg

bmFtZT0iV2ViIFBhZ2UiPjEyPC9yZWYtdHlwZT48Y29udHJpYnV0b3JzPjxhdXRob3JzPjxhdXRo

b3I+SHVtYW4gUmlnaHRzIFdhdGNoLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48

dGl0bGVzPjx0aXRsZT5Tb3V0aGVybiBFeHBvc3VyZTogSHVtYW4gUmlnaHRzIGFuZCBISVYgaW4g

dGhlIFNvdXRoZXJuIFVuaXRlZCBTdGF0ZXM8L3RpdGxlPjwvdGl0bGVzPjx2b2x1bWU+MjAxMTwv

dm9sdW1lPjxudW1iZXI+Tm92ZW1iZXI8L251bWJlcj48ZGF0ZXM+PHllYXI+MjAxMDwveWVhcj48

L2RhdGVzPjx1cmxzPjxyZWxhdGVkLXVybHM+PHVybD5odHRwOi8vd3d3Lmhydy5vcmcvc2l0ZXMv

ZGVmYXVsdC9maWxlcy9yZWxhdGVkX21hdGVyaWFsL0JQYXBlcnNvdXRoMTEyMl82LnBkZjwvdXJs

PjwvcmVsYXRlZC11cmxzPjwvdXJscz48L3JlY29yZD48L0NpdGU+PENpdGU+PEF1dGhvcj5Tb3V0

aGVybiBBSURTIENvYWxpdGlvbjwvQXV0aG9yPjxZZWFyPjIwMTI8L1llYXI+PFJlY051bT4xODk8

L1JlY051bT48cmVjb3JkPjxyZWMtbnVtYmVyPjE4OTwvcmVjLW51bWJlcj48Zm9yZWlnbi1rZXlz

PjxrZXkgYXBwPSJFTiIgZGItaWQ9InJhZng1cjkwdXB6YWVlZXJ2dzV2MHpyemVhcng1OWZ6MnNl

dyI+MTg5PC9rZXk+PC9mb3JlaWduLWtleXM+PHJlZi10eXBlIG5hbWU9IldlYiBQYWdlIj4xMjwv

cmVmLXR5cGU+PGNvbnRyaWJ1dG9ycz48YXV0aG9ycz48YXV0aG9yPlNvdXRoZXJuIEFJRFMgQ29h

bGl0aW9uLDwvYXV0aG9yPjwvYXV0aG9ycz48L2NvbnRyaWJ1dG9ycz48dGl0bGVzPjx0aXRsZT5T

b3V0aGVybiBTdGF0ZXMgTWFuaWZlc3RvOiBVcGRhdGUgMjAxMiBQb2xpY3kgQnJpZWYgYW5kIFJl

Y29tbWVuZGF0aW9uczwvdGl0bGU+PC90aXRsZXM+PHZvbHVtZT4yMDEyPC92b2x1bWU+PG51bWJl

cj5NYXkgMjAxMzwvbnVtYmVyPjxkYXRlcz48eWVhcj4yMDEyPC95ZWFyPjwvZGF0ZXM+PHVybHM+

PHJlbGF0ZWQtdXJscz48dXJsPmh0dHA6Ly93d3cuc291dGhlcm5haWRzY29hbGl0aW9uLm9yZy9T

b3V0aGVybitTdGF0ZXMrTWFuaWZlc3RvLStVcGRhdGUrMjAxMi5wZGY8L3VybD48L3JlbGF0ZWQt

dXJscz48L3VybHM+PC9yZWNvcmQ+PC9DaXRlPjwvRW5kTm90ZT4A

ADDIN EN.CITE.DATA 3,11,12 Limitations in HIV care and prevention infrastructures may also contribute to the Southern epidemic. ADDIN EN.CITE <EndNote><Cite><Author>Southern AIDS Coalition</Author><Year>2012</Year><RecNum>189</RecNum><DisplayText><style face="superscript">12</style></DisplayText><record><rec-number>189</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">189</key></foreign-keys><ref-type name="Web Page">12</ref-type><contributors><authors><author>Southern AIDS Coalition,</author></authors></contributors><titles><title>Southern States Manifesto: Update 2012 Policy Brief and Recommendations</title></titles><volume>2012</volume><number>May 2013</number><dates><year>2012</year></dates><urls><related-urls><url> For example, data from an American Medical Association (AMA) database indicate that the South, particularly the targeted states, has fewer Infectious Diseases specialists per person estimated to be living with HIV than other regions of the US. ADDIN EN.CITE <EndNote><Cite><Author>American Medical Association</Author><RecNum>214</RecNum><DisplayText><style face="superscript">13</style></DisplayText><record><rec-number>214</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">214</key></foreign-keys><ref-type name="Dataset">59</ref-type><contributors><authors><author>American Medical Association,</author></authors><secondary-authors><author>Redi-Direct Marketing, Inc</author></secondary-authors></contributors><titles><title>AMA Redi-Counts</title></titles><dates></dates><urls><related-urls><url> Furthermore, many of the MSAs with high HIV diagnosis rates in the targeted states are less populated and have epidemics that emerged later than the large urban cities where the epidemic was first concentrated, thus these cities may have fewer resources and less experience in creating the infrastructure needed to adequately address the epidemic. More research is needed to better understand the limitations of the HIV care and prevention infrastructures in the South and to determine how these infrastructures are influenced by state poverty and culture and how they in turn impact HIV incidence. Differences in poverty, culture and infrastructure may differentiate MSAs with high HIV diagnosis rates in targeted states from other US MSAs and require targeted interventions to adequately address the unique nature of the Southern HIV epidemic. Although it is critical to examine HIV in MSAs in the South, it is also important to note that the South has the highest proportion of new HIV diagnoses residing in both rural and suburban areas, has the highest HIV diagnosis rates in suburban and rural areas, and has the highest number of individuals living with HIV in rural and suburban areas. ADDIN EN.CITE <EndNote><Cite><Author>Prejean</Author><Year>2012</Year><RecNum>182</RecNum><DisplayText><style face="superscript">1</style></DisplayText><record><rec-number>182</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">182</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Prejean, J</author><author>Tang, T</author><author>Hall, I</author></authors></contributors><titles><title>HIV diagnoses and prevalence in the southern region of the United States, 2007-2010</title><secondary-title>Journal of Community Health</secondary-title></titles><periodical><full-title>Journal of Community Health</full-title></periodical><volume>Epub</volume><edition>November </edition><section>1-13</section><dates><year>2012</year></dates><urls></urls></record></Cite></EndNote>1 For example, among both men and women in the South, the diagnosis rates in rural areas are over three times that of the Midwest and nearly twice as much as the Northeast. ADDIN EN.CITE <EndNote><Cite><Author>Prejean</Author><Year>2012</Year><RecNum>182</RecNum><DisplayText><style face="superscript">1</style></DisplayText><record><rec-number>182</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">182</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Prejean, J</author><author>Tang, T</author><author>Hall, I</author></authors></contributors><titles><title>HIV diagnoses and prevalence in the southern region of the United States, 2007-2010</title><secondary-title>Journal of Community Health</secondary-title></titles><periodical><full-title>Journal of Community Health</full-title></periodical><volume>Epub</volume><edition>November </edition><section>1-13</section><dates><year>2012</year></dates><urls></urls></record></Cite></EndNote>1 Rural and urban areas in the South may experience similar challenges such as stigma and insufficient resources; however, providing prevention and care services in rural areas may present unique challenges including lack of transportation and long distances to qualified prevention and care providers. ADDIN EN.CITE <EndNote><Cite><Author>Heckman</Author><Year>1998</Year><RecNum>68</RecNum><DisplayText><style face="superscript">14,15</style></DisplayText><record><rec-number>68</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">68</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Heckman, T</author><author>Somlai, A</author><author>Peters, J</author><author>Walker, J</author><author>Otto-Salaj, L</author><author>Galdabini, C</author><author>Kelly, J</author></authors></contributors><titles><title>Barriers to care among persons living with HIV/AIDS in urban and rural areas.</title><secondary-title>AIDS Care</secondary-title></titles><periodical><full-title>AIDS Care</full-title></periodical><pages>365-375</pages><volume>10</volume><dates><year>1998</year></dates><urls></urls></record></Cite><Cite><Author>Lishner</Author><Year>1996</Year><RecNum>74</RecNum><record><rec-number>74</rec-number><foreign-keys><key app="EN" db-id="rafx5r90upzaeeervw5v0zrzearx59fz2sew">74</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Lishner, D</author><author>Richardson, M</author><author>Levine, P</author><author>Patrick, D</author></authors></contributors><titles><title>Access to primary health care among persons with disabilities in rural areas: a summary of the literature.</title><secondary-title>Journal of Rural Health</secondary-title></titles><periodical><full-title>Journal of Rural Health</full-title></periodical><pages>45-53</pages><volume>12</volume><dates><year>1996</year></dates><urls></urls></record></Cite></EndNote>14,15 In conclusion, the CDC data focusing on HIV in US MSAs demonstrate a concentration of the highest HIV diagnosis rates in the targeted Southern states. These findings indicate the need for developing and implementing effective HIV prevention and care strategies to address the Southern HIV epidemic. HIV prevention and care interventions that have found to be effective in other regions of the US may not be as successful in the targeted states region due to the cultural distinction of this region. Current programs may need to be adapted and new programs created and tested that address the specific needs of this population. Differences in demographic and other characteristics of HIV-infected individuals between targeted state MSAs must also be considered in tailoring approaches to the specific areas within the targeted states region. REFERENCES ADDIN EN.REFLIST 1.Prejean J, Tang T, Hall I. HIV diagnoses and prevalence in the southern region of the United States, 2007-2010. Journal of Community Health. 2012;Epub.2.Center for Disease Control and Prevention. Diagnosis of HIV infection and AIDS in the United States and Dependent Areas, 2010: HIV Surveillance Report. 2012; 22:. Accessed November, 2012.3.Reif S, Whetten K, Wilson L, Gong W. HIV/AIDS Epidemic in the South Reaches Crisis Proportions in the Last Decade. 2011; . Accessed July, 2012.4.Center for Disease Control and Prevention. Estimated HIV Incidence in the United States, 2007-2010. HIV Surveillance Report. 2012;17(4).5.Bartley N. The Evolution of Southern Culture. Athens, GA: University of Georgia Press; 1988.6.Wilson D, Ferris W. Encyclopedia of Southern culture. 1989. Accessed 9/2011, 2011.7.Centers for Disease Control and Prevention. HIV Surveillance Report, 2009. 2011; for Disease Control and Prevention. HIV Surveillance Report, 2008. 2010; for Disease Control and Prevention. Diagnosed HIV infection among adults and adolescents in Metropolitan Statistical Areas - United States and Puerto Rico 2010. HIV Surveillance Report: Supplemental Report. 2013; , 18.10.U.S. Census Bureau. Census Regions and Divisions of the United States. . Accessed November, 2011.11.Human Rights Watch. Southern Exposure: Human Rights and HIV in the Southern United States. 2010; . Accessed November, 2011.12.Southern AIDS Coalition. Southern States Manifesto: Update 2012 Policy Brief and Recommendations. 2012; . Accessed May 2013, 2012.13.American Medical Association. AMA Redi-Counts. In: Redi-Direct Marketing I, ed.14.Heckman T, Somlai A, Peters J, et al. Barriers to care among persons living with HIV/AIDS in urban and rural areas. AIDS Care. 1998;10:365-375.15.Lishner D, Richardson M, Levine P, Patrick D. Access to primary health care among persons with disabilities in rural areas: a summary of the literature. Journal of Rural Health. 1996;12:45-53. ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download

To fulfill the demand for quickly locating and searching documents.

It is intelligent file search solution for home and business.

Literature Lottery

Related searches