SlideShare a Scribd company logo
1 of 51
1
Debbie
(Data Management/Analysis Unit)
Jessica Fridge
Surveillance Manager
STD
Surveillance
*Mohammad -
*Catherine
STD Data are
housed and
managed in
PRISM
HIV Surveillance
*Demerial
*Rashad
*Elliott – *Carmen
*Tania –
*Lakeesha/*Josette
HIV Data are housed
and managed in
eHARS
Joe Foxhood
IT Staff –
Craig/George
Programmers –
James
Cortlandt
Everett
Rey
Prevention
Data
Supervisor
(VACANT)
manage all
counseling and
testing data.
Approx. 100,000
tests a year
Positives found
from Counseling
and Testing are
used for HIV
surveillance data.
Megan
Wright
(Services Data)
Rebekah
Antoine
Brantley
(CAPUS Analyst)
Tesha
Washington
and Data Entry
Staff (Tinh, Denise,
Beverly)
2
3
Quick Definitions
 Incidence: The number of new infections
 New Diagnoses: The number of newly diagnosed cases of a
disease
 Prevalence: The total number of cases of disease existing in a
population
 Morbidity: another term for illness. Prevalence measures the
level of morbidity
 Mortality: another term for death
* These can be presented
as case counts, rates, or percentages….
4
Quick Definitions
 Incidence: (“NEW CASES”) The number of newly diagnosed cases
of a disease (New HIV cases, New syphilis cases)
 Prevalence: (“PERSONS LIVING”) The total number of cases of
disease existing in a population (Persons living with HIV/AIDS)
Incidence
Prevalence
Death/Move out of jurisdiction
5
Counts and Rates
 A count is a total or a tally (total number of disease cases
for example)
 Ex: 9,000 new cases of gonorrhea
 Ex: 1,200 new cases of HIV
 Ex: 423 new cases of primary and secondary syphilis
 A rate (or case rate) is a proportion: generally, the total
number of cases divided by the population
 Ex: the gonorrhea case rate was 24.3 per 100,000 people
6
RATES
 Incidence rate: number of new cases of a
disease divided by the number of persons at risk
for the disease
 Prevalence rate: total number of cases of a
disease in a population divided by the total
population
 Mortality rate: Number of deaths due to a
disease divided by the total population
7
Rate Example
Number of New
HIV Cases, 2013
Population
In 2013
2013 HIV Case Rate
Per 100,000
Black 904 1,398,276 64.7
Hispanic 60 148,463 40.4
White 315 2,731,007 11.5
 2013 New HIV Diagnoses, by Race
Black HIV Case Rate:
904 ÷ 1,398,276 Blacks in Louisiana in 2013 = 0.0006465
0.0006465 * 100,000 = 64.65 HIV Diagnoses per 100,000 Blacks in Louisiana
1.6
times
5.6
times
8
STD/HIV Surveillance
 Louisiana Sanitary Code requires reporting of
known or suspected cases of:
 HIV
 AIDS
 HIV Related Lab Results (CD4 counts, viral
loads, etc.)
 Syphilis
 Chlamydia
 Gonorrhea
 HIV, AIDS and syphilis are all reportable as a
pregnancy condition
9
HIV and AIDS National Rankings,
2012
 Louisiana
 Ranked 4th for estimated HIV case rates and 3rd for estimated AIDS case rates
 HIV case rate: 27.1 per 100,000 (US rate is 15.3 per 100,000)
 AIDS case rate: 18.4 per 100,000 (US rate is 8.9 per 100,000)
 New Orleans MSA
 Ranked 5th in HIV case rates and 4th in AIDS case rates
 Baton Rouge MSA
 Ranked 4th in HIV case rates and 2nd in AIDS case rates
*2013 Rankings should be available in February 2015
Example:
 In 2012, the New Orleans MSA ranks 5th in HIV case rates
 37.3/100,000
 …..but ranks 22nd in HIV case counts
 457 HIV cases
 Washington, DC had 1,947 new HIV diagnoses but ranked
9th for its HIV case rate (33.3 per 100,000)
 New York City had 5,025 new HIV diagnoses but ranked
14th for its HIV case rate (25.3 per 100,000)
11
Louisiana ranks: (in rates per 100,000 population)
 3rd Primary and Secondary Syphilis (9.2 per 100,000)
 423 cases
 1st Congenital Syphilis (51.3 per 100,000 live births)
 32 cases
 1st Gonorrhea (188.4 per 100,000)
 8,669 cases
 2nd Chlamydia (624.5 per 100,00)
 28,739 cases
12
STD National Rankings,
2013
Public Health Regions – 9
Metropolitan Statistical Areas – 9
Parishes - 64
13
Parishes in Public Health Region Parishes in MSA
Region 1:New Orleans Jefferson, Orleans, Plaquemines, St. Bernard Jefferson, Orleans, Plaquemines, St. Bernard,
St. Charles, St. James, St. John the Baptist,
St. Tammany
Region 2:Baton Rouge Ascension, E. Baton Rouge, E. Feliciana,
Iberville, Pointe Coupee, W. Baton Rouge,
W. Feliciana
Ascension, E. Baton Rouge, E. Feliciana,
Iberville, Livingston, Pointe Coupee, St. Helena,
W. Baton Rouge, W. Feliciana
Region 3:Houma Assumption, Lafourche, St. Charles,
St. James, St. John the Baptist, St. Mary,
Terrebonne
Lafourche, Terrebonne
Region 4:Lafayette Acadia, Evangeline, Iberia, Lafayette,
St. Landry, St. Martin, Vermilion
Acadia, Iberville, Lafayette, St. Martin,
Vermilion
Region 5:Lake Charles Allen, Beauregard, Calcasieu, Cameron,
Jefferson Davis
Calcasieu, Cameron
Region 6:Alexandria Avoyelles, Catahoula, Concordia, Grant,
La Salle, Rapides, Vernon, Winn
Grant, Rapides
Region 7:Shreveport Bienville, Bossier, Caddo, Claiborne, DeSoto,
Natchitoches, Red River, Sabine, Webster
Bossier, Caddo, DeSoto
Region 8:Monroe Caldwell, E. Carroll, Franklin, Jackson,
Lincoln, Madison, Morehouse, Ouachita,
Richland, Tensas, Union, W. Carroll
Ouachita, Union
Region 9: Hammond/Slidell Livingston, St. Helena, St. Tammany,
Tangipahoa, Washington
Tangipahoa
14
Louisiana’s 9 Public Health Regions
15
Defining New Orleans and Baton Rouge
 New Orleans MSA/EMA
 Jefferson, Orleans, Plaquemines, St Bernard, St Charles, St James, St John
the Baptist, St Tammany (8 parishes)
 New Orleans Region:
 Jefferson, Orleans, Plaquemines, St Bernard (4 parishes)
 Baton Rouge MSA/TGA
 Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe
Coupee, St Helena, West Baton Rouge, West Feliciana (9 parishes)
 Baton Rouge Region:
 Ascension, East Baton Rouge, East Feliciana, Iberville, Pointe Coupee,
West Baton Rouge, West Feliciana (7 parishes)
16
Parishes/Zip Codes
 East Baton Rouge Parish – to represent “Baton Rouge”
 Orleans Parish – to represent “New Orleans”
 We can provide zip code level data but there has to be
a very specific and approved reason. We also limit data
releases for zip codes when the case count is too small.
 zip code level data is shared internally and for
prevention and services purposes.
17
Your Key Contacts For HIV Surveillance Data
*Debbie Wendell
*Jessica Fridge
*Demerial Banks
*Elliott Brannon – Perinatal data
18
Monitoring the Spectrum of HIV Infection
Sentinel Events
HIV Exposure
(Children)
HIV Infection
HIV Diagnosis
HIV Report
AIDS
Diagnosis
AIDS Report
DeathINCIDENCE
PREVALENCE
1st CD4
count/VL
19
Louisiana’s 2012 Rankings
Louisiana ranks: (in rates per 100,000 population)
 4th in HIV diagnosis rates (27.1 per 100,000)
 3rd in AIDS diagnosis rates (18.4 per 100,000)
 New Orleans MSA
 5th in HIV diagnosis rates (37.3 per 100,000)
 4th in AIDS diagnosis rates (25.1 per 100,00)
 Baton Rouge MSA
 4th in HIV diagnosis rates (38.1 per 100,000)
 2nd in AIDS diagnosis rate (27.5 per 100,000)
20
Rates of Diagnoses of HIV Infection among Adults and Adolescents, 2012—
United States and 6 Dependent Areas
N = 48,651 Total Rate = 18.4
Note. Data include persons with a diagnosis of HIV infection regardless of stage of disease at diagnosis. All displayed data have
been statistically adjusted to account for reporting delays, but not for incomplete reporting.
Estimated HIV Case Rates by MSA, 2012
47.3
41.8
38.6 38.1 37.3
35.2
33.3 33.3 33.2
29.2
27.2
25.6 25.3 24.4
21.8 21 20.7 20.5 20.3 20.2
0
5
10
15
20
25
30
35
40
45
50
EstimatedHIVCaseRate
MSA
Southern MSAs
***In 2012, 16 of the top 20 MSAs in the United States were located in the south.
New HIV Diagnoses
Louisiana, 2013
Number of Cases Proportion of Cases
Sex
Male
Female
990
308
76%
24%
Race
Black
White
Hispanic
Other
904
315
60
19
70%
24%
5%
2%
Reported Risk
Men who have sex with men (MSM)
Injection Drug Use (IDU)
MSM/IDU
High Risk Heterosexual
Perinatal Infection
Unknown/not reported
599
56
24
158
1
460
72%
7%
3%
19%
<1%
--
In 2013, there were 1,298 new HIV diagnoses in Louisiana
New HIV Diagnoses
Louisiana, 2013
Number of
Cases
Proportion of Cases
Age
13-19
20-24
25-34
35-44
45 and older
66
252
367
284
328
5%
19%
28%
22%
26%
Region
1 - New Orleans
2 - Baton Rouge
3 - Houma
4 - Lafayette
5 - Lake Charles
6 - Alexandria
7 - Shreveport
8 - Monroe
9 - Hammond/Slidell
439
263
60
100
45
86
144
89
72
34%
20%
5%
8%
4%
7%
11%
7%
6%
New HIV and AIDS Diagnoses
Louisiana, 2004-2013
1,056
972 991
1,089 1,099
1,208
1,125
1,218
1,045
1,298
864
799
765
804
841
786 798 779 779
731
0
200
400
600
800
1000
1200
1400
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
NumberofDiagnoses
Year of Diagnosis
HIV AIDS
Persons Living with HIV infection
Number of People
Living with HIV
Proportion
Sex
Male
Female
13,281
5,614
70%
30%
Race
Black
White
Hispanic
Other/Unk/Multirace
12,923
5,022
729
221
68%
27%
4%
1%
Age
<25 years
25-34 years
35-44 years
45-54 years
55-64 years
65 and older
1,214
3661
4658
5670
2952
740
6%
19%
25%
30%
16%
4%
*15.8% of all people living with HIV infection are not aware/have not been diagnosed! So
these numbers are underestimate! The percent unaware differs by age group and is
highest among youth.
• People living with HIV in all 64 parishes. At the end of 2013 there were 18,895
people living with HIV infection in Louisiana
Persons Living with HIV Infection (PLWH)
Louisiana, 2004-2013
Hurricane
Katrina
27
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
PersonsLivingwithHIV
YEAR
Rates of Black & White Persons Living with an
HIV Diagnosis, by County, Louisiana, 2010
Black Rates
White Rates
Key Trends in Louisiana
 There is a significant racial disparity for HIV and AIDS diagnoses in Louisiana
 HIV case rate for blacks is almost 6 times higher than whites
 Although Blacks make up only 32% of the state’s population, 70% of newly-
diagnosed HIV cases and 68% of all people living with HIV infection in
Louisiana.
 Increase in the proportion of new cases among men who have sex with men
(MSM)
 Over the past 10 years, the proportion of all new diagnoses among MSM has
increased from 49% in 2004 to 72% in 2013.
 Over the past 10 years, the proportion of new male diagnoses among MSM
has increased from 66% of male diagnoses in 2004 to 84% of all male
diagnoses in 2013.
 A quarter of all new diagnoses occur among youth (age 13-24 year olds). The vast
majority of these are among persons 20-24 years old.
 In 2013, there were 318 new HIV diagnoses among 13-24 year olds. 79% of
these were among 20-24 year olds
 Of the 318 diagnoses among youth, 81% were male and 83% were black. 29
Perinatal HIV Surveillance
 We track all women who are HIV positive and give birth in
Louisiana. We conduct follow-up on all of the babies to
determine if they are HIV positive or HIV negative.
 If a mother and infant are properly treated, there is less
than 1% chance the baby will be infected.
 Many states do not have a single case of mother-to-child
transmission of HIV
30
Perinatal Surveillance
 Each year we have approximately 160-180 mothers give
birth to infants in Louisiana.
31
YEAR Number of moms Number of positive
babies (%)
2009 175 3 (2%)
2010 179 5 (3%)
2011 161 4 (2%)
2012 164 7 (4%)
2013 165 0 (0%)
The vast majority of the mothers are diagnosed before their pregnancy.
Louisiana state law now requires an HIV and syphilis test at first prenatal care
visit and a repeated test in the third trimester.
HIV Tests
Louisiana, 2007-2013
58,599
67,730
100,571 99,465
102,539
98,571
95,656
1.0
1.0
0.9
1.0
1.2
1.1 1.1
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0
15,000
30,000
45,000
60,000
75,000
90,000
105,000
2007 2008 2009 2010 2011 2012 2013
PercentPositive
NumberofHIVTests
Year
Total Tests % Positivity
HIV Testing by Test Type
Louisiana, 2004-2013
0
20,000
40,000
60,000
80,000
100,000
120,000
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
NumberofTests
Year
Conventional Rapid
95%
rapid
Comparison of Tests vs. Surveillance Data
by Region, Louisiana, 2013
Region % of PLWH % of New HIV
Dx (Surv)
% of HIV Tests
1 – New Orleans 34% 34% 46%
2 – Baton Rouge 25% 20% 19%
3 – Houma 4% 5% 2%
4 – Lafayette 8% 8% 8%
5 – Lake Charles 5% 4% 4%
6 – Alexandria 4% 6% 3%
7 – Shreveport 8% 11% 9%
8 – Monroe 5% 7% 6%
9 – Slidell/Hammond 6% 5% 2%
HIV Continuum of Care
Louisiana, 2013
100%
69%
54%
49%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Persons living with
HIV
In HIV care Retained in HIV care Viral suppression
(<=200)
Percentage
18,199
9,774
12,536
8,831
70% of PLWH in care were virally
35
Your Key Contacts For STD Surveillance Data
*Jessica Fridge
*Mohammad Rahman
*Catherine Desmarais
*Elliott Brannon – congenital syphilis data
36
STDs across the nation
 In 2013:
 1,401,906 cases of chlamydia
 333,304 cases of gonorrhea
 Gonorrhea and chlamydia are primarily diagnosed among people
age 15-24 years old.
 Women face the most serious long-term health consequences.
Undiagnosed STDs cause 24,000 women to become infertile each
year.
 17,375 cases of primary and secondary syphilis
 MSM account for 75% of all P&S syphilis cases
 348 cases of congenital syphilis
 Only 25 states reported 1 or more cases of CS in 2013 37
Louisiana ranks: (in rates per 100,000 population)
 2nd Chlamydia (624.5 per 100,00)
 28,739 cases
 1st Gonorrhea (188.4 per 100,000)
 8,669 cases
 3rd Primary and Secondary Syphilis (9.2 per 100,000)
 423 cases
 1st Congenital Syphilis (51.3 per 100,000 live births)
 32 cases
38
STD National Rankings,
2013
Louisiana STD National Rankings
2010-2013
STD 2010 2011 2012 2013
Chlamydia 3rd 3rd 4th 2nd
Gonorrhea 2nd 1st 2nd 1st
P&S Syphilis 1st 1st 3rd 3rd
Congenital
Syphilis
1st 3rd 1st 1st
39
Trends in STD Cases
Louisiana, 2010-2013
Year 2010 2011 2012 2013
Chlamydia 29,151 31,614 27,253 28,739
Gonorrhea 8,912 9,169 8,873 8,669
P&S Syphilis 547 447 339 423
Early Latent Syphilis 740 488 343 276
Congenital Syphilis 33 18 32 40
40
Chlamydia
41
There were 28,739 cases of chlamydia diagnosed in Louisiana in 2013, a rate of
621.3 cases per 100,000. This represents a 4.5% rate increase from 2012 to 2013.
39%
Chlamydia in Louisiana, 2013
Chlamydia 28,739 100%
By Gender Male
Female
26%
74%
By Race Black
White
Hispanic
75%
22%
3%
By Age Group < 20 years
20-29 years
30 and older
34%
55%
11%
By Region New Orleans
Baton Rouge
Houma
Lafayette
Lake Charles
Alexandria
Shreveport
Monroe
Hammond/Slidell
24%
12%
8%
12%
5%
6%
16%
11%
7%
42
Gonorrhea
43
There were 8,669 cases of gonorrhea diagnosed in Louisiana in 2013, a rate of
187.4 cases per 100,000. This represents a 3% rate decrease from 2012 to 2013.
77%
Gonorrhea in Louisiana, 2013
8,669 100%
By Gender Male
Female
43%
57%
By Race Black
White
Hispanic
86%
13%
1%
By Age Group < 20 years
20-29 years
30 and older
31%
54%
15%
By Region New Orleans
Baton Rouge
Houma
Lafayette
Lake Charles
Alexandria
Shreveport
Monroe
Hammond/Slidell
25%
11%
7%
16%
4%
6%
16%
12%
4%
44
Primary and Secondary Syphilis
45
65%
There were 423 cases of P&S syphilis diagnosed in Louisiana in 2013, a rate of
9.1 cases per 100,000. This represents a 23% rate increase from 2012 to 2013.
Primary and Secondary (P&S) Syphilis
Louisiana, 2013
P&S Syphilis 423 100%
By Gender Male
Female
73%
27%
By Race Black
White
Hispanic
78%
20%
2%
By Age Group < 19 years
20-29 years
30 and older
13%
47%
40%
By Region New Orleans
Baton Rouge
Houma
Lafayette
Lake Charles
Alexandria
Shreveport
Monroe
Hammond/Slidell
22%
17%
5%
12%
2%
3%
30%
3%
1%
46
Congenital Syphilis, 2013
 In 2013, the CS rate was 63.4 per 100,000 live births. A total
of 40 cases. This rate is over 7 times the national rate of 8.7
per 100,000 live births.
47
Congenital Syphilis, Louisiana
2013
 93% of the mothers were Black / African American
and 65% of the mothers were between the ages 15-
24 years
 75% of the mothers received timely prenatal care
but still passed the infection to their infant.
 In 2013, 30% of the cases in Shreveport, 22% in
New Orleans, 12% in Monroe and 10% in
Alexandria.
48
When in doubt, email Debbie.Wendell@la.gov OR
Jessica.Fridge@la.gov and we will connect you with the right person!
49
Where to get surveillance data:
 HIV surveillance data: Jessica Fridge/Demerial Banks
 STD surveillance data: Mohammad
Rahman/Catherine Desmarais
 Any perinatal HIV or syphilis data: Elliott Brannon
 Other types of data come directly from the Prevention
or Services programs
50
Where you can find data
 Both of our websites:
 www.HIV411.org
 www.hiv.dhh.louisiana.gov
 www.std.dhh.louisiana.gov
 On the Public (P) Drive:
 P:SurveillanceReports and Fact Sheets
 Can find all of our Annual and Quarterly Reports, can also
find the CDC’s STD and HIV Surveillance Reports
 For HIV data requests, email Demerial Banks
 For STD data requests, email Mohammad Rahman
51

More Related Content

What's hot

HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...
HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...
HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...MEASURE Evaluation
 
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...Dr. Juan Rodriguez-Tafur
 
Chris Beyrer: "State of the Science: Key populations"
Chris Beyrer: "State of the Science: Key populations"Chris Beyrer: "State of the Science: Key populations"
Chris Beyrer: "State of the Science: Key populations"HopkinsCFAR
 
Governor Substance Use Disorder Taskforce Presentation
Governor Substance Use Disorder Taskforce PresentationGovernor Substance Use Disorder Taskforce Presentation
Governor Substance Use Disorder Taskforce PresentationFan Xiong, M.P.H.
 
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...Review from the 24th Conference on Retroviruses and Opportunistic Infections ...
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...UC San Diego AntiViral Research Center
 
Final - Profile of HIV 2010 Dallas County_writing sample_Janina Daniels
Final - Profile of HIV 2010 Dallas County_writing sample_Janina DanielsFinal - Profile of HIV 2010 Dallas County_writing sample_Janina Daniels
Final - Profile of HIV 2010 Dallas County_writing sample_Janina DanielsJanina Daniels, MHSA
 
Seroprevalence hepatite b
Seroprevalence hepatite bSeroprevalence hepatite b
Seroprevalence hepatite bPaul Tshamala
 
Get smart - New ways of looking at HIV data.
Get smart - New ways of looking at HIV data.Get smart - New ways of looking at HIV data.
Get smart - New ways of looking at HIV data.UNAIDS
 
February 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference CallFebruary 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference Callgoa4
 
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...utcam03
 
Uncovering the burden 17th hivstd conference 5-25-2010_final
Uncovering the burden 17th hivstd conference 5-25-2010_finalUncovering the burden 17th hivstd conference 5-25-2010_final
Uncovering the burden 17th hivstd conference 5-25-2010_finalutcam03
 
Are suicide rates for young australian males really falling the recent contr...
Are suicide rates for young australian males really falling  the recent contr...Are suicide rates for young australian males really falling  the recent contr...
Are suicide rates for young australian males really falling the recent contr...Leishman Associates
 
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...CDC NPIN
 

What's hot (18)

2016HIV_STI_SurveillanceReport
2016HIV_STI_SurveillanceReport2016HIV_STI_SurveillanceReport
2016HIV_STI_SurveillanceReport
 
HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...
HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...
HIV Remains a Key Killer in Zambia: Results of Community-Based Mortality Surv...
 
05 session ii_julianperez
05 session ii_julianperez05 session ii_julianperez
05 session ii_julianperez
 
Presidential address 2015: Sexual health in the era of HIV
Presidential address 2015: Sexual health in the era of HIVPresidential address 2015: Sexual health in the era of HIV
Presidential address 2015: Sexual health in the era of HIV
 
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...
Primary Immunodeficiency Diseases in Latin America: The Second Report of the ...
 
Chris Beyrer: "State of the Science: Key populations"
Chris Beyrer: "State of the Science: Key populations"Chris Beyrer: "State of the Science: Key populations"
Chris Beyrer: "State of the Science: Key populations"
 
Governor Substance Use Disorder Taskforce Presentation
Governor Substance Use Disorder Taskforce PresentationGovernor Substance Use Disorder Taskforce Presentation
Governor Substance Use Disorder Taskforce Presentation
 
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...Review from the 24th Conference on Retroviruses and Opportunistic Infections ...
Review from the 24th Conference on Retroviruses and Opportunistic Infections ...
 
PrEP in 2018 and Beyond
PrEP in 2018 and BeyondPrEP in 2018 and Beyond
PrEP in 2018 and Beyond
 
Final - Profile of HIV 2010 Dallas County_writing sample_Janina Daniels
Final - Profile of HIV 2010 Dallas County_writing sample_Janina DanielsFinal - Profile of HIV 2010 Dallas County_writing sample_Janina Daniels
Final - Profile of HIV 2010 Dallas County_writing sample_Janina Daniels
 
Seroprevalence hepatite b
Seroprevalence hepatite bSeroprevalence hepatite b
Seroprevalence hepatite b
 
Get smart - New ways of looking at HIV data.
Get smart - New ways of looking at HIV data.Get smart - New ways of looking at HIV data.
Get smart - New ways of looking at HIV data.
 
February 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference CallFebruary 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference Call
 
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...
E:\uncovering the effect of co morbidities on the houston syphilis outbreak a...
 
Uncovering the burden 17th hivstd conference 5-25-2010_final
Uncovering the burden 17th hivstd conference 5-25-2010_finalUncovering the burden 17th hivstd conference 5-25-2010_final
Uncovering the burden 17th hivstd conference 5-25-2010_final
 
MHSP_2016
MHSP_2016MHSP_2016
MHSP_2016
 
Are suicide rates for young australian males really falling the recent contr...
Are suicide rates for young australian males really falling  the recent contr...Are suicide rates for young australian males really falling  the recent contr...
Are suicide rates for young australian males really falling the recent contr...
 
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...
Impact of Chronic HCV Co-infection on HIV Clinical Outcomes in the District o...
 

Similar to STD/HIV Surveillance Data and Definitions

The HIV Engagement in Care Cascade by Dr. Kathleen Brady
The HIV Engagement in Care Cascade by Dr. Kathleen BradyThe HIV Engagement in Care Cascade by Dr. Kathleen Brady
The HIV Engagement in Care Cascade by Dr. Kathleen BradyOffice of HIV Planning
 
2014 Epidemiological Update by Dr. Kathleen Brady
2014 Epidemiological Update by Dr. Kathleen Brady2014 Epidemiological Update by Dr. Kathleen Brady
2014 Epidemiological Update by Dr. Kathleen BradyOffice of HIV Planning
 
Dr. Kathleen Brady's 2013 Epidemiologic Update
Dr. Kathleen Brady's 2013 Epidemiologic UpdateDr. Kathleen Brady's 2013 Epidemiologic Update
Dr. Kathleen Brady's 2013 Epidemiologic UpdateOffice of HIV Planning
 
February 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference CallFebruary 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference Callgoa4
 
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_Final
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_FinalCSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_Final
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_FinalVeronica Fialkowski
 
Aetna Presentation Latino AIDS Policy
Aetna Presentation Latino AIDS PolicyAetna Presentation Latino AIDS Policy
Aetna Presentation Latino AIDS PolicyDanny Santibanez
 
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and Priorities
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and PrioritiesFacing the Future of HIV and STD in Texas Epidemiology, Impact, and Priorities
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and PrioritiesDSHS
 
Predicting coronavirus cases and questions need answering
Predicting coronavirus cases and questions need answeringPredicting coronavirus cases and questions need answering
Predicting coronavirus cases and questions need answeringJames Orr
 
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docx
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docxC.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docx
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docxclairbycraft
 
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...Sunil Nair
 
HIV Epidemiology in the Prairies
HIV Epidemiology in the PrairiesHIV Epidemiology in the Prairies
HIV Epidemiology in the Prairiesgriehl
 
HIV/AIDS in Special Population Groups in Texas
HIV/AIDS in Special Population Groups in TexasHIV/AIDS in Special Population Groups in Texas
HIV/AIDS in Special Population Groups in TexasDSHS
 
Aids an non aids morbidity and mortality 2012
Aids an non aids morbidity and mortality 2012Aids an non aids morbidity and mortality 2012
Aids an non aids morbidity and mortality 2012Ana Paula Bringel
 
Special Needs for HIV+ Incarcerated Populations
Special Needs for HIV+ Incarcerated PopulationsSpecial Needs for HIV+ Incarcerated Populations
Special Needs for HIV+ Incarcerated PopulationsAdam Thompson
 
May 18 2011 Presentation: Part 1
May 18 2011 Presentation: Part 1May 18 2011 Presentation: Part 1
May 18 2011 Presentation: Part 1sumaorchard1
 

Similar to STD/HIV Surveillance Data and Definitions (20)

The HIV Engagement in Care Cascade by Dr. Kathleen Brady
The HIV Engagement in Care Cascade by Dr. Kathleen BradyThe HIV Engagement in Care Cascade by Dr. Kathleen Brady
The HIV Engagement in Care Cascade by Dr. Kathleen Brady
 
2014 Epidemiological Update by Dr. Kathleen Brady
2014 Epidemiological Update by Dr. Kathleen Brady2014 Epidemiological Update by Dr. Kathleen Brady
2014 Epidemiological Update by Dr. Kathleen Brady
 
Dr. Kathleen Brady's 2013 Epidemiologic Update
Dr. Kathleen Brady's 2013 Epidemiologic UpdateDr. Kathleen Brady's 2013 Epidemiologic Update
Dr. Kathleen Brady's 2013 Epidemiologic Update
 
Basil Donovan: Syphilis epidemiology surveillance And HIV interactions
Basil Donovan: Syphilis epidemiology surveillance And HIV interactionsBasil Donovan: Syphilis epidemiology surveillance And HIV interactions
Basil Donovan: Syphilis epidemiology surveillance And HIV interactions
 
February 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference CallFebruary 2010 Selected Zoonotic Diseases Conference Call
February 2010 Selected Zoonotic Diseases Conference Call
 
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_Final
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_FinalCSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_Final
CSTE Conference_2015_Poster_Histoplasmosis_Fialkowski_Final
 
Aetna Presentation Latino AIDS Policy
Aetna Presentation Latino AIDS PolicyAetna Presentation Latino AIDS Policy
Aetna Presentation Latino AIDS Policy
 
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and Priorities
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and PrioritiesFacing the Future of HIV and STD in Texas Epidemiology, Impact, and Priorities
Facing the Future of HIV and STD in Texas Epidemiology, Impact, and Priorities
 
Predicting coronavirus cases and questions need answering
Predicting coronavirus cases and questions need answeringPredicting coronavirus cases and questions need answering
Predicting coronavirus cases and questions need answering
 
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docx
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docxC.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docx
C.2. Risk and Risk Assessments HCA 402Risk and Community Risk .docx
 
Privacy vs. Public Health
Privacy vs. Public HealthPrivacy vs. Public Health
Privacy vs. Public Health
 
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...
 
HIV Epidemiology in the Prairies
HIV Epidemiology in the PrairiesHIV Epidemiology in the Prairies
HIV Epidemiology in the Prairies
 
Health System Navigators Presentation
Health System Navigators PresentationHealth System Navigators Presentation
Health System Navigators Presentation
 
Health System Navigators Presentation
Health System Navigators PresentationHealth System Navigators Presentation
Health System Navigators Presentation
 
Chlamydia presentation
Chlamydia presentation Chlamydia presentation
Chlamydia presentation
 
HIV/AIDS in Special Population Groups in Texas
HIV/AIDS in Special Population Groups in TexasHIV/AIDS in Special Population Groups in Texas
HIV/AIDS in Special Population Groups in Texas
 
Aids an non aids morbidity and mortality 2012
Aids an non aids morbidity and mortality 2012Aids an non aids morbidity and mortality 2012
Aids an non aids morbidity and mortality 2012
 
Special Needs for HIV+ Incarcerated Populations
Special Needs for HIV+ Incarcerated PopulationsSpecial Needs for HIV+ Incarcerated Populations
Special Needs for HIV+ Incarcerated Populations
 
May 18 2011 Presentation: Part 1
May 18 2011 Presentation: Part 1May 18 2011 Presentation: Part 1
May 18 2011 Presentation: Part 1
 

More from Louisiana STD/HIV Program (LAOPH/SHP) (7)

Racial and LGBT Health Inequities
Racial and LGBT Health InequitiesRacial and LGBT Health Inequities
Racial and LGBT Health Inequities
 
LA Wellness Center Project - Chris Daunis
LA Wellness Center Project - Chris DaunisLA Wellness Center Project - Chris Daunis
LA Wellness Center Project - Chris Daunis
 
Using Data to Improve LTC - Debbie Wendell
Using Data to Improve LTC -  Debbie WendellUsing Data to Improve LTC -  Debbie Wendell
Using Data to Improve LTC - Debbie Wendell
 
LTC with PLWH - Jackie Bickham
LTC with PLWH - Jackie BickhamLTC with PLWH - Jackie Bickham
LTC with PLWH - Jackie Bickham
 
LTC Strategies for CBO's - Lara Jackson
LTC Strategies for CBO's -  Lara JacksonLTC Strategies for CBO's -  Lara Jackson
LTC Strategies for CBO's - Lara Jackson
 
Social Marketing Strategies for Youth - Randi Sylve
Social Marketing Strategies for Youth  -  Randi SylveSocial Marketing Strategies for Youth  -  Randi Sylve
Social Marketing Strategies for Youth - Randi Sylve
 
Social Marketing for CBO's - Randi Sylve
Social Marketing for CBO's - Randi SylveSocial Marketing for CBO's - Randi Sylve
Social Marketing for CBO's - Randi Sylve
 

Recently uploaded

💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...
💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...
💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...Taniya Sharma
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...chandars293
 
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Kochi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Servicevidya singh
 
Chandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableChandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableDipal Arora
 
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...aartirawatdelhi
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiAlinaDevecerski
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escortsaditipandeya
 
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...Neha Kaur
 
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...Dipal Arora
 
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomLucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomdiscovermytutordmt
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...astropune
 
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...Garima Khatri
 
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableVip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableNehru place Escorts
 
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 

Recently uploaded (20)

💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...
💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...
💎VVIP Kolkata Call Girls Parganas🩱7001035870🩱Independent Girl ( Ac Rooms Avai...
 
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
The Most Attractive Hyderabad Call Girls Kothapet 𖠋 6297143586 𖠋 Will You Mis...
 
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Faridabad Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Kochi Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Kochi Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Bareilly Just Call 9907093804 Top Class Call Girl Service Available
 
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Ooty Just Call 9907093804 Top Class Call Girl Service Available
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
 
Chandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD availableChandrapur Call girls 8617370543 Provides all area service COD available
Chandrapur Call girls 8617370543 Provides all area service COD available
 
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Coimbatore Just Call 9907093804 Top Class Call Girl Service Available
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
 
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...
VIP Russian Call Girls in Varanasi Samaira 8250192130 Independent Escort Serv...
 
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
Best Rate (Guwahati ) Call Girls Guwahati ⟟ 8617370543 ⟟ High Class Call Girl...
 
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Bhubaneswar Just Call 9907093804 Top Class Call Girl Service Avail...
 
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel roomLucknow Call girls - 8800925952 - 24x7 service with hotel room
Lucknow Call girls - 8800925952 - 24x7 service with hotel room
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
 
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...
VIP Mumbai Call Girls Hiranandani Gardens Just Call 9920874524 with A/C Room ...
 
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls AvailableVip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
Vip Call Girls Anna Salai Chennai 👉 8250192130 ❣️💯 Top Class Girls Available
 
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Aurangabad Just Call 9907093804 Top Class Call Girl Service Available
 

STD/HIV Surveillance Data and Definitions

  • 1. 1
  • 2. Debbie (Data Management/Analysis Unit) Jessica Fridge Surveillance Manager STD Surveillance *Mohammad - *Catherine STD Data are housed and managed in PRISM HIV Surveillance *Demerial *Rashad *Elliott – *Carmen *Tania – *Lakeesha/*Josette HIV Data are housed and managed in eHARS Joe Foxhood IT Staff – Craig/George Programmers – James Cortlandt Everett Rey Prevention Data Supervisor (VACANT) manage all counseling and testing data. Approx. 100,000 tests a year Positives found from Counseling and Testing are used for HIV surveillance data. Megan Wright (Services Data) Rebekah Antoine Brantley (CAPUS Analyst) Tesha Washington and Data Entry Staff (Tinh, Denise, Beverly) 2
  • 3. 3
  • 4. Quick Definitions  Incidence: The number of new infections  New Diagnoses: The number of newly diagnosed cases of a disease  Prevalence: The total number of cases of disease existing in a population  Morbidity: another term for illness. Prevalence measures the level of morbidity  Mortality: another term for death * These can be presented as case counts, rates, or percentages…. 4
  • 5. Quick Definitions  Incidence: (“NEW CASES”) The number of newly diagnosed cases of a disease (New HIV cases, New syphilis cases)  Prevalence: (“PERSONS LIVING”) The total number of cases of disease existing in a population (Persons living with HIV/AIDS) Incidence Prevalence Death/Move out of jurisdiction 5
  • 6. Counts and Rates  A count is a total or a tally (total number of disease cases for example)  Ex: 9,000 new cases of gonorrhea  Ex: 1,200 new cases of HIV  Ex: 423 new cases of primary and secondary syphilis  A rate (or case rate) is a proportion: generally, the total number of cases divided by the population  Ex: the gonorrhea case rate was 24.3 per 100,000 people 6
  • 7. RATES  Incidence rate: number of new cases of a disease divided by the number of persons at risk for the disease  Prevalence rate: total number of cases of a disease in a population divided by the total population  Mortality rate: Number of deaths due to a disease divided by the total population 7
  • 8. Rate Example Number of New HIV Cases, 2013 Population In 2013 2013 HIV Case Rate Per 100,000 Black 904 1,398,276 64.7 Hispanic 60 148,463 40.4 White 315 2,731,007 11.5  2013 New HIV Diagnoses, by Race Black HIV Case Rate: 904 ÷ 1,398,276 Blacks in Louisiana in 2013 = 0.0006465 0.0006465 * 100,000 = 64.65 HIV Diagnoses per 100,000 Blacks in Louisiana 1.6 times 5.6 times 8
  • 9. STD/HIV Surveillance  Louisiana Sanitary Code requires reporting of known or suspected cases of:  HIV  AIDS  HIV Related Lab Results (CD4 counts, viral loads, etc.)  Syphilis  Chlamydia  Gonorrhea  HIV, AIDS and syphilis are all reportable as a pregnancy condition 9
  • 10. HIV and AIDS National Rankings, 2012  Louisiana  Ranked 4th for estimated HIV case rates and 3rd for estimated AIDS case rates  HIV case rate: 27.1 per 100,000 (US rate is 15.3 per 100,000)  AIDS case rate: 18.4 per 100,000 (US rate is 8.9 per 100,000)  New Orleans MSA  Ranked 5th in HIV case rates and 4th in AIDS case rates  Baton Rouge MSA  Ranked 4th in HIV case rates and 2nd in AIDS case rates *2013 Rankings should be available in February 2015
  • 11. Example:  In 2012, the New Orleans MSA ranks 5th in HIV case rates  37.3/100,000  …..but ranks 22nd in HIV case counts  457 HIV cases  Washington, DC had 1,947 new HIV diagnoses but ranked 9th for its HIV case rate (33.3 per 100,000)  New York City had 5,025 new HIV diagnoses but ranked 14th for its HIV case rate (25.3 per 100,000) 11
  • 12. Louisiana ranks: (in rates per 100,000 population)  3rd Primary and Secondary Syphilis (9.2 per 100,000)  423 cases  1st Congenital Syphilis (51.3 per 100,000 live births)  32 cases  1st Gonorrhea (188.4 per 100,000)  8,669 cases  2nd Chlamydia (624.5 per 100,00)  28,739 cases 12 STD National Rankings, 2013
  • 13. Public Health Regions – 9 Metropolitan Statistical Areas – 9 Parishes - 64 13
  • 14. Parishes in Public Health Region Parishes in MSA Region 1:New Orleans Jefferson, Orleans, Plaquemines, St. Bernard Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, St. James, St. John the Baptist, St. Tammany Region 2:Baton Rouge Ascension, E. Baton Rouge, E. Feliciana, Iberville, Pointe Coupee, W. Baton Rouge, W. Feliciana Ascension, E. Baton Rouge, E. Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, W. Baton Rouge, W. Feliciana Region 3:Houma Assumption, Lafourche, St. Charles, St. James, St. John the Baptist, St. Mary, Terrebonne Lafourche, Terrebonne Region 4:Lafayette Acadia, Evangeline, Iberia, Lafayette, St. Landry, St. Martin, Vermilion Acadia, Iberville, Lafayette, St. Martin, Vermilion Region 5:Lake Charles Allen, Beauregard, Calcasieu, Cameron, Jefferson Davis Calcasieu, Cameron Region 6:Alexandria Avoyelles, Catahoula, Concordia, Grant, La Salle, Rapides, Vernon, Winn Grant, Rapides Region 7:Shreveport Bienville, Bossier, Caddo, Claiborne, DeSoto, Natchitoches, Red River, Sabine, Webster Bossier, Caddo, DeSoto Region 8:Monroe Caldwell, E. Carroll, Franklin, Jackson, Lincoln, Madison, Morehouse, Ouachita, Richland, Tensas, Union, W. Carroll Ouachita, Union Region 9: Hammond/Slidell Livingston, St. Helena, St. Tammany, Tangipahoa, Washington Tangipahoa 14
  • 15. Louisiana’s 9 Public Health Regions 15
  • 16. Defining New Orleans and Baton Rouge  New Orleans MSA/EMA  Jefferson, Orleans, Plaquemines, St Bernard, St Charles, St James, St John the Baptist, St Tammany (8 parishes)  New Orleans Region:  Jefferson, Orleans, Plaquemines, St Bernard (4 parishes)  Baton Rouge MSA/TGA  Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St Helena, West Baton Rouge, West Feliciana (9 parishes)  Baton Rouge Region:  Ascension, East Baton Rouge, East Feliciana, Iberville, Pointe Coupee, West Baton Rouge, West Feliciana (7 parishes) 16
  • 17. Parishes/Zip Codes  East Baton Rouge Parish – to represent “Baton Rouge”  Orleans Parish – to represent “New Orleans”  We can provide zip code level data but there has to be a very specific and approved reason. We also limit data releases for zip codes when the case count is too small.  zip code level data is shared internally and for prevention and services purposes. 17
  • 18. Your Key Contacts For HIV Surveillance Data *Debbie Wendell *Jessica Fridge *Demerial Banks *Elliott Brannon – Perinatal data 18
  • 19. Monitoring the Spectrum of HIV Infection Sentinel Events HIV Exposure (Children) HIV Infection HIV Diagnosis HIV Report AIDS Diagnosis AIDS Report DeathINCIDENCE PREVALENCE 1st CD4 count/VL 19
  • 20. Louisiana’s 2012 Rankings Louisiana ranks: (in rates per 100,000 population)  4th in HIV diagnosis rates (27.1 per 100,000)  3rd in AIDS diagnosis rates (18.4 per 100,000)  New Orleans MSA  5th in HIV diagnosis rates (37.3 per 100,000)  4th in AIDS diagnosis rates (25.1 per 100,00)  Baton Rouge MSA  4th in HIV diagnosis rates (38.1 per 100,000)  2nd in AIDS diagnosis rate (27.5 per 100,000) 20
  • 21. Rates of Diagnoses of HIV Infection among Adults and Adolescents, 2012— United States and 6 Dependent Areas N = 48,651 Total Rate = 18.4 Note. Data include persons with a diagnosis of HIV infection regardless of stage of disease at diagnosis. All displayed data have been statistically adjusted to account for reporting delays, but not for incomplete reporting.
  • 22. Estimated HIV Case Rates by MSA, 2012 47.3 41.8 38.6 38.1 37.3 35.2 33.3 33.3 33.2 29.2 27.2 25.6 25.3 24.4 21.8 21 20.7 20.5 20.3 20.2 0 5 10 15 20 25 30 35 40 45 50 EstimatedHIVCaseRate MSA Southern MSAs ***In 2012, 16 of the top 20 MSAs in the United States were located in the south.
  • 23. New HIV Diagnoses Louisiana, 2013 Number of Cases Proportion of Cases Sex Male Female 990 308 76% 24% Race Black White Hispanic Other 904 315 60 19 70% 24% 5% 2% Reported Risk Men who have sex with men (MSM) Injection Drug Use (IDU) MSM/IDU High Risk Heterosexual Perinatal Infection Unknown/not reported 599 56 24 158 1 460 72% 7% 3% 19% <1% -- In 2013, there were 1,298 new HIV diagnoses in Louisiana
  • 24. New HIV Diagnoses Louisiana, 2013 Number of Cases Proportion of Cases Age 13-19 20-24 25-34 35-44 45 and older 66 252 367 284 328 5% 19% 28% 22% 26% Region 1 - New Orleans 2 - Baton Rouge 3 - Houma 4 - Lafayette 5 - Lake Charles 6 - Alexandria 7 - Shreveport 8 - Monroe 9 - Hammond/Slidell 439 263 60 100 45 86 144 89 72 34% 20% 5% 8% 4% 7% 11% 7% 6%
  • 25. New HIV and AIDS Diagnoses Louisiana, 2004-2013 1,056 972 991 1,089 1,099 1,208 1,125 1,218 1,045 1,298 864 799 765 804 841 786 798 779 779 731 0 200 400 600 800 1000 1200 1400 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 NumberofDiagnoses Year of Diagnosis HIV AIDS
  • 26. Persons Living with HIV infection Number of People Living with HIV Proportion Sex Male Female 13,281 5,614 70% 30% Race Black White Hispanic Other/Unk/Multirace 12,923 5,022 729 221 68% 27% 4% 1% Age <25 years 25-34 years 35-44 years 45-54 years 55-64 years 65 and older 1,214 3661 4658 5670 2952 740 6% 19% 25% 30% 16% 4% *15.8% of all people living with HIV infection are not aware/have not been diagnosed! So these numbers are underestimate! The percent unaware differs by age group and is highest among youth. • People living with HIV in all 64 parishes. At the end of 2013 there were 18,895 people living with HIV infection in Louisiana
  • 27. Persons Living with HIV Infection (PLWH) Louisiana, 2004-2013 Hurricane Katrina 27 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 18,000 20,000 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 PersonsLivingwithHIV YEAR
  • 28. Rates of Black & White Persons Living with an HIV Diagnosis, by County, Louisiana, 2010 Black Rates White Rates
  • 29. Key Trends in Louisiana  There is a significant racial disparity for HIV and AIDS diagnoses in Louisiana  HIV case rate for blacks is almost 6 times higher than whites  Although Blacks make up only 32% of the state’s population, 70% of newly- diagnosed HIV cases and 68% of all people living with HIV infection in Louisiana.  Increase in the proportion of new cases among men who have sex with men (MSM)  Over the past 10 years, the proportion of all new diagnoses among MSM has increased from 49% in 2004 to 72% in 2013.  Over the past 10 years, the proportion of new male diagnoses among MSM has increased from 66% of male diagnoses in 2004 to 84% of all male diagnoses in 2013.  A quarter of all new diagnoses occur among youth (age 13-24 year olds). The vast majority of these are among persons 20-24 years old.  In 2013, there were 318 new HIV diagnoses among 13-24 year olds. 79% of these were among 20-24 year olds  Of the 318 diagnoses among youth, 81% were male and 83% were black. 29
  • 30. Perinatal HIV Surveillance  We track all women who are HIV positive and give birth in Louisiana. We conduct follow-up on all of the babies to determine if they are HIV positive or HIV negative.  If a mother and infant are properly treated, there is less than 1% chance the baby will be infected.  Many states do not have a single case of mother-to-child transmission of HIV 30
  • 31. Perinatal Surveillance  Each year we have approximately 160-180 mothers give birth to infants in Louisiana. 31 YEAR Number of moms Number of positive babies (%) 2009 175 3 (2%) 2010 179 5 (3%) 2011 161 4 (2%) 2012 164 7 (4%) 2013 165 0 (0%) The vast majority of the mothers are diagnosed before their pregnancy. Louisiana state law now requires an HIV and syphilis test at first prenatal care visit and a repeated test in the third trimester.
  • 32. HIV Tests Louisiana, 2007-2013 58,599 67,730 100,571 99,465 102,539 98,571 95,656 1.0 1.0 0.9 1.0 1.2 1.1 1.1 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0 15,000 30,000 45,000 60,000 75,000 90,000 105,000 2007 2008 2009 2010 2011 2012 2013 PercentPositive NumberofHIVTests Year Total Tests % Positivity
  • 33. HIV Testing by Test Type Louisiana, 2004-2013 0 20,000 40,000 60,000 80,000 100,000 120,000 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 NumberofTests Year Conventional Rapid 95% rapid
  • 34. Comparison of Tests vs. Surveillance Data by Region, Louisiana, 2013 Region % of PLWH % of New HIV Dx (Surv) % of HIV Tests 1 – New Orleans 34% 34% 46% 2 – Baton Rouge 25% 20% 19% 3 – Houma 4% 5% 2% 4 – Lafayette 8% 8% 8% 5 – Lake Charles 5% 4% 4% 6 – Alexandria 4% 6% 3% 7 – Shreveport 8% 11% 9% 8 – Monroe 5% 7% 6% 9 – Slidell/Hammond 6% 5% 2%
  • 35. HIV Continuum of Care Louisiana, 2013 100% 69% 54% 49% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Persons living with HIV In HIV care Retained in HIV care Viral suppression (<=200) Percentage 18,199 9,774 12,536 8,831 70% of PLWH in care were virally 35
  • 36. Your Key Contacts For STD Surveillance Data *Jessica Fridge *Mohammad Rahman *Catherine Desmarais *Elliott Brannon – congenital syphilis data 36
  • 37. STDs across the nation  In 2013:  1,401,906 cases of chlamydia  333,304 cases of gonorrhea  Gonorrhea and chlamydia are primarily diagnosed among people age 15-24 years old.  Women face the most serious long-term health consequences. Undiagnosed STDs cause 24,000 women to become infertile each year.  17,375 cases of primary and secondary syphilis  MSM account for 75% of all P&S syphilis cases  348 cases of congenital syphilis  Only 25 states reported 1 or more cases of CS in 2013 37
  • 38. Louisiana ranks: (in rates per 100,000 population)  2nd Chlamydia (624.5 per 100,00)  28,739 cases  1st Gonorrhea (188.4 per 100,000)  8,669 cases  3rd Primary and Secondary Syphilis (9.2 per 100,000)  423 cases  1st Congenital Syphilis (51.3 per 100,000 live births)  32 cases 38 STD National Rankings, 2013
  • 39. Louisiana STD National Rankings 2010-2013 STD 2010 2011 2012 2013 Chlamydia 3rd 3rd 4th 2nd Gonorrhea 2nd 1st 2nd 1st P&S Syphilis 1st 1st 3rd 3rd Congenital Syphilis 1st 3rd 1st 1st 39
  • 40. Trends in STD Cases Louisiana, 2010-2013 Year 2010 2011 2012 2013 Chlamydia 29,151 31,614 27,253 28,739 Gonorrhea 8,912 9,169 8,873 8,669 P&S Syphilis 547 447 339 423 Early Latent Syphilis 740 488 343 276 Congenital Syphilis 33 18 32 40 40
  • 41. Chlamydia 41 There were 28,739 cases of chlamydia diagnosed in Louisiana in 2013, a rate of 621.3 cases per 100,000. This represents a 4.5% rate increase from 2012 to 2013. 39%
  • 42. Chlamydia in Louisiana, 2013 Chlamydia 28,739 100% By Gender Male Female 26% 74% By Race Black White Hispanic 75% 22% 3% By Age Group < 20 years 20-29 years 30 and older 34% 55% 11% By Region New Orleans Baton Rouge Houma Lafayette Lake Charles Alexandria Shreveport Monroe Hammond/Slidell 24% 12% 8% 12% 5% 6% 16% 11% 7% 42
  • 43. Gonorrhea 43 There were 8,669 cases of gonorrhea diagnosed in Louisiana in 2013, a rate of 187.4 cases per 100,000. This represents a 3% rate decrease from 2012 to 2013. 77%
  • 44. Gonorrhea in Louisiana, 2013 8,669 100% By Gender Male Female 43% 57% By Race Black White Hispanic 86% 13% 1% By Age Group < 20 years 20-29 years 30 and older 31% 54% 15% By Region New Orleans Baton Rouge Houma Lafayette Lake Charles Alexandria Shreveport Monroe Hammond/Slidell 25% 11% 7% 16% 4% 6% 16% 12% 4% 44
  • 45. Primary and Secondary Syphilis 45 65% There were 423 cases of P&S syphilis diagnosed in Louisiana in 2013, a rate of 9.1 cases per 100,000. This represents a 23% rate increase from 2012 to 2013.
  • 46. Primary and Secondary (P&S) Syphilis Louisiana, 2013 P&S Syphilis 423 100% By Gender Male Female 73% 27% By Race Black White Hispanic 78% 20% 2% By Age Group < 19 years 20-29 years 30 and older 13% 47% 40% By Region New Orleans Baton Rouge Houma Lafayette Lake Charles Alexandria Shreveport Monroe Hammond/Slidell 22% 17% 5% 12% 2% 3% 30% 3% 1% 46
  • 47. Congenital Syphilis, 2013  In 2013, the CS rate was 63.4 per 100,000 live births. A total of 40 cases. This rate is over 7 times the national rate of 8.7 per 100,000 live births. 47
  • 48. Congenital Syphilis, Louisiana 2013  93% of the mothers were Black / African American and 65% of the mothers were between the ages 15- 24 years  75% of the mothers received timely prenatal care but still passed the infection to their infant.  In 2013, 30% of the cases in Shreveport, 22% in New Orleans, 12% in Monroe and 10% in Alexandria. 48
  • 49. When in doubt, email Debbie.Wendell@la.gov OR Jessica.Fridge@la.gov and we will connect you with the right person! 49
  • 50. Where to get surveillance data:  HIV surveillance data: Jessica Fridge/Demerial Banks  STD surveillance data: Mohammad Rahman/Catherine Desmarais  Any perinatal HIV or syphilis data: Elliott Brannon  Other types of data come directly from the Prevention or Services programs 50
  • 51. Where you can find data  Both of our websites:  www.HIV411.org  www.hiv.dhh.louisiana.gov  www.std.dhh.louisiana.gov  On the Public (P) Drive:  P:SurveillanceReports and Fact Sheets  Can find all of our Annual and Quarterly Reports, can also find the CDC’s STD and HIV Surveillance Reports  For HIV data requests, email Demerial Banks  For STD data requests, email Mohammad Rahman 51

Editor's Notes

  1. In the United States and 6 dependent areas, the estimated rate of diagnoses of HIV infection among adults and adolescents was 18.4 per 100,000 population in 2012. The rate of diagnoses of HIV infection for adults and adolescents ranged from zero per 100,000 in American Samoa, Northern Mariana Islands, and the Republic of Palau to 160.7 per 100,000 in the District of Columbia.   The District of Columbia (i.e., Washington, DC) is a city; use caution when comparing the HIV diagnosis rate in DC with the rates in states.   Data include persons with a diagnosis of HIV infection regardless of stage of disease at diagnosis. All displayed data are estimates. Estimated numbers resulted from statistical adjustment that accounted for reporting delays, but not for incomplete reporting.
  2. Rates of Black & White Persons Living with an HIV Diagnosis, by County, Louisiana, 2010 These maps show a comparison of the estimated county-level rates (per 100,000 population) of black & white adults and adolescents living with an HIV diagnosis in Louisiana at the end of 2010. Data include adults and adolescents living with a diagnosis of HIV infection, regardless of the stage of disease at diagnosis, and have been statistically adjusted to account for reporting delays and missing risk-factor information, but not for incomplete reporting. All displayed data are estimates based upon actual data reported to CDC through June 2012. Persons living with an HIV diagnosis are classified as adult or adolescent based on age at end of 2010. Data were released to AIDSVu in accordance with the state health departments HIV surveillance data re-release agreement with CDC. More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
  3. Definitions: Persons living with HIV: Number of persons living with HIV as of 12/31/2013 who were diagnosed by 12/31/2012, whose current address is in Louisiana (PLWH) In HIV care: Number of PLWH who had at least 1 CD4 or VL test conducted in 2013 Retention in HIV care: Number of PLWH who had 2 or more CD4 or VL tests conducted in 2013 at least 90 days apart Viral suppression: Number of PLWH whose most recent VL test in 2013 was <=200 copies/mL
  4. 2011 – Alaska 1st in CT, MS 2; GC MS 2; MD 2 for P & S; Congenital – Arkansas 1, MD 2