The most recent data on the target populations of the National HIV/AIDS Strategy in the greater Philadelphia area. Briana Morgan (OHP) first presented this information to a joint meeting of the Ryan White Planning Council and HIV Prevention Planning Council. In January, she gave a similar presentation to the Positive Committee.
Women & Girls: Behavioral Health, HIV, HEP and more Alton King
Whether at home or abroad, women and girls are feeling the lopsided effects of HIV. Put another way, nearly 1,000 young women are newly infected with HIV daily. Trauma and intimate
partner violence (IPV) are but numerous factors driving this epidemic. SAMHSA is undertaking a multifaceted approach to engage behavioral health issues, the SAVA syndemic, and the opioid epidemic through innovative behavioral health programs.
Sexual and reproductive health is the most common health problems for women aged 15 to 44 (NDHS, 2016)
1 in 5 suffered from uterine prolapse (In nine districts WOREC conducted 43 health camps and service through Women Health Resource and Counseling Centre, 2014-2017)
Maternal mortality Rate is 239 deaths per 100,000 live births (NDHS, 2016)
1/3 of all new HIV infections are attributable to MARPs
Bridge population for HIV to general public
HIV prevalence higher than general population. (Ranges 20-50% prevalence)
Estimating the size of MARPs population
FSWs :140,000 countrywide
IDUs: 18,000
MSMs: 30,000
33,000 new HIV Infections out of 100,000
POSHAN District Nutrition Profile_Khagaria_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Women & Girls: Behavioral Health, HIV, HEP and more Alton King
Whether at home or abroad, women and girls are feeling the lopsided effects of HIV. Put another way, nearly 1,000 young women are newly infected with HIV daily. Trauma and intimate
partner violence (IPV) are but numerous factors driving this epidemic. SAMHSA is undertaking a multifaceted approach to engage behavioral health issues, the SAVA syndemic, and the opioid epidemic through innovative behavioral health programs.
Sexual and reproductive health is the most common health problems for women aged 15 to 44 (NDHS, 2016)
1 in 5 suffered from uterine prolapse (In nine districts WOREC conducted 43 health camps and service through Women Health Resource and Counseling Centre, 2014-2017)
Maternal mortality Rate is 239 deaths per 100,000 live births (NDHS, 2016)
1/3 of all new HIV infections are attributable to MARPs
Bridge population for HIV to general public
HIV prevalence higher than general population. (Ranges 20-50% prevalence)
Estimating the size of MARPs population
FSWs :140,000 countrywide
IDUs: 18,000
MSMs: 30,000
33,000 new HIV Infections out of 100,000
POSHAN District Nutrition Profile_Khagaria_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Madridge Journal of AIDS (ISSN: 2638-1958); HIV-related stigma is a global issue. Its perpetuation varies in magnitude across and within countries, and serves as a major barrier to HIV prevention efforts.
POSHAN District Nutrition Profile_Jehanabad_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Sitamarhi_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gopalganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Bhagalpur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Kishanganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Madhepura_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Bhojpur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Madridge Journal of AIDS (ISSN: 2638-1958); HIV-related stigma is a global issue. Its perpetuation varies in magnitude across and within countries, and serves as a major barrier to HIV prevention efforts.
POSHAN District Nutrition Profile_Jehanabad_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Sitamarhi_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gopalganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Bhagalpur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Kishanganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Madhepura_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Bhojpur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
CBE16 - Scalable, Actionable, and Effective Social Media Marketing for the Cr...CraftBev
Build an effective social media plan, specifically focused on alcohol brands: Best practices, content curation, social advertising, social analytics, and more.
America cares hiv-aids in black america#GOMOJO, INC.
Increase community awareness of HIV/AIDS and HIV prevention strategies.
Increase community understanding of the clinical research process.
Develop and strengthen relationships with community stakeholders, including (but not limited to) medical care providers, STD/HIV counseling and testing providers, faith leaders, Non Governmental Organizations and Community Based Organizations.
Increasingly, African Americans in general are recognizing that HIV is wreaking devastation across our communities. Those who have joined the fight against HIV and AIDS in Black communities are coming to understand that it is a difficult and multifaceted problem—but that it is also a winnable war. With this report, we aim to arm those people with the information they need to get there.
Global Medical Cures™ | HIV Among Women
DISCLAIMER-
Global Medical Cures™ does not offer any medical advice, diagnosis, treatment or recommendations. Only your healthcare provider/physician can offer you information and recommendations for you to decide about your healthcare choices.
Dr. Kathleen Brady of Philadelphia's AIDS Activities Coordinating Office (AACO) gave this presentation at the January 9, 2013 Comprehensive Planning Committee meeting.
It started with 25 young gay men who attended a digital storytelling workshop organized by Greater Than AIDS and partners in Washington, DC in September 2015. The result was 25 powerful personal videos that launched the #SpeakOutHIV movement. Now more than 70 strong, the #SpeakOutHIV ambassadors are between 18-25 from various geographic locations, educational backgrounds and careers. The videos document intensely personal, sometimes emotional moments, and shed light on how a generation grapples with the virus and what they are doing to protect their health, regardless of status. #SpeakOutHIV is the social media component of the broader Speak Out campaign from Greater Than AIDS, which seeks to re-engage the LGBTQ youth community in confronting the silence and stigma that still surrounds HIV. #SpeakOutHIV tackles the challenge with a simple concept: Empower LGBTQ youth with the knowledge and skills to speak out about HIV where they are: on social media.
Leandro Mena, MD, MPH
Chair and Professor of Population Health Science
Department of Population Health Science
University of Mississippi Medical Center
The Effect Race and Income on HIV AIDS infection in African-Americans - Sunil...Sunil Nair
Race and Income has a significant influence on susceptibility to HIV/AIDS infections; Afro-Americans (Blacks) are 1.33 times more likely to be infected than whites. A significant finding is that the income level didn't change race's effect on HIV infections. Race has a significant effect on HIV infections or is an important predictor of incidence of HIV infections independent of the income. In other words, irrespective of the income level being black and poor increases the changes of being infected with HIV/AIDS.
Sugbuanong Pundok Aron sugpuon and Child Abuse (SUPACA) is a group of youth advocates who promote the four inherent rights of a child: survival, protection, development and participation. Due to the explosion of the Philippine HIV Epidemic especially in Cebu, the SUPACA youth advocates go from barangay to barangay to organize children and youth to talk about HIV/AIDS to improve awareness. With understanding comes compassion and with compassion, stigma and discrimination is reduced.
Overview of the 2018 Update to the Integrated Plan and PrEP Workgroup Draft R...Office of HIV Planning
Mari Ross-Russell (Office of HIV Planning) and Matthew McClain (Public Health Policy & Planning Consultant) presented these slides to the PrEP Workgroup of the Philadelphia EMA HIV Integrated Planning Council on January 16, 2019.
Dr. William R. Short presented this review of PrEP research from the Conference on Retroviruses and Opportunistic Infections to the PrEP Workgroup of the HIPC's Prevention Committee in April 2018.
Sebastian Branca of the AIDS Activities Coordinating Office provided this overview of AACO's quality management program to the HIV Integrated Planning Council on May 10, 2018. This presentation includes discussion of secret shoppers, quality improvement plans, and quality management initiatives.
C-YA! Philadelphia EMA's Plan to Connect our Co-infected Community to a Cure ...Office of HIV Planning
Alex Shirreffs of the Philadelphia Department of Public Health provided this overview of the Philadelphia area's plan to end HIV and Hepatitis C coinfections to the HIV Integrated Planning Council on May 10, 2018.
Ricardo Colon of the AIDS Activities Coordinating Office provided this overview of AACO's Client Services Unit to the HIV Integrated Planning Council on May 10, 2018. It includes information on the medical case management program and top needs identified at client intake.
This presentation was provided to the Philadelphia EMA HIV Integrated Planning Council by Briana Morgan of the Office of HIV Planning. It includes data related to population-level data, race/ethnicity, STIs, risk behaviors, HIV, and more.
Dr. Kathleen Brady of the AIDS Activities Coordinating Office presented this epidemiologic update to the Philadelphia EMA HIV Integrated Planning Council on February 9, 2018.
Increasing Treatment Access and Saving Lives in the Dual Opioid and Overdose ...Office of HIV Planning
Silvana Mazzella of Prevention Point Philadelphia gave this presentation on medication assisted treatment to the Philadelphia EMA HIV Integrated Planning Council on March 8, 2018.
Dr. Kathleen Brady of the AIDS Activities Coordinating Office discussed three cycles of the National HIV Behavioral Surveillance in Philadelphia, including cycles with men who have sex with men (MSM), high-risk heterosexuals, and injection drug users. This presentation took place at the Philadelphia EMA HIV Integrated Planning Council meeting on Thursday, January 11, 2018.
Caitlin Conyngham and Erika Aaron of the AIDS Activities Coordinating Office began the initial meeting of the PrEP Working Group with this presentation on November 15, 2017.
Antonio Boone of the Office of HIV Planning reviewed major points from the Mayor's Task Force to Combat the Opioid Epidemic in Philadelphia at the June 12, 2017 Positive Committee meeting.
Marcy Witherspoon, MSW, LSW of the Health Federation of Philadelphia discussed trauma-informed care with the Philadelphia EMA HIV Integrated Planning Council on November 9, 2018.
OHP's Antonio Boone gave this presentation on different prevention continuum examples at the July meeting of the Prevention Committee of the Philadelphia EMA HIV Integrated Planning Council.
Integrated HIV Surveillance and Prevention Programs for Health Departments - ...Office of HIV Planning
Caitlin Conyngham, Prevention Coordinator at the AIDS Activities Coordinating Office at the Philadelphia Department of Public Health, gave an overview of the new HIV prevention notice of funding opportunity to the HIPC's Prevention Committee on 07-26-2017.
Opioid Awareness - Report Review: The Mayor's Task Force to Combat the Opioid...Office of HIV Planning
The OHP's Antonio Boone presented at the June 2017 meeting of the Positive Committee on the recent report from the Mayor's Task Force to Combat the Opioid Epidemic in Philadelphia.
Planning Council Co-Chair and Prevention Committee member Jen Chapman presented on integrated planning and concurrence at the May 2017 meeting of the HIV Integrated Planning Council.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
2. We’ve come a long way in the fight against AIDS -
and we can’t let up now. For those whose lives are
still at risk, and for those who didn’t live to see
this moment, let’s keep working for an AIDS-free
generation.
President Barack Obama, July 30, 2015
THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
3. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
THE FOUR NATIONAL HIV/AIDS STRATEGY GOALS
▸ Reducing new HIV infections
▸ Increasing access to care and improving health outcomes
for people living with HIV
▸ Reducing HIV-related disparities and health inequities
▸ Achieving a more coordinated national response to the
HIV epidemic
4. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
MAJOR CHANGES IN THE ENVIRONMENT BETWEEN 2010 AND 2015
▸ Introduction of Pre-Exposure Prophylaxis (PrEP)
▸ The implementation of the Affordable Care Act (including
Medicaid expansion throughout the EMA)
▸ Federal recommendations for routine HIV screening and
antiretroviral treatment for all people with HIV
▸ The creation of the HIV care continuum/treatment cascade
▸ New research, particularly in areas like PrEP and treatment
as prevention
5. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
MAJOR CHANGES IN THE NATIONAL HIV/AIDS STRATEGY BETWEEN 2010 AND 2015
▸ Adding PrEP as a major component
▸ Changes in language (i.e. “substance abusers” versus
“people who inject drugs”
▸ Ten new quantitative indicators
▸ Adding the HIV Care Continuum Initiative
▸ Updates to target populations
6. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2010 TARGET POPULATIONS
▸ Gay and bisexual men
▸ Black men and women
▸ Latinos and Latinas
▸ Substance abusers
7. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS
▸ Gay, bisexual, and other men who have sex with men of all races and
ethnicities
▸ Black women and men
▸ Latino men and women
▸ People who inject drugs
▸ Youth aged 13 to 24 years
▸ People in the Southern United States
▸ Transgender women
8. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
THE PHILADELPHIA EMA INTEGRATED EPIDEMIOLOGICAL PROFILE
▸ Updated on September 30, 2015
▸ Provides data on the nine-county Philadelphia Eligible Metropolitan Area,
including
▸ Sociodemographic characteristics (such as race, education, and poverty)
▸ HIV risk indicators (such as substance use and STDs)
▸ Local data on the scope of HIV/AIDS (such as new HIV/AIDS cases, and
the total number of people with HIV/AIDS)
▸ HIV/AIDS-related service use (such as HIV care services and HIV testing)
9. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ Gay, bisexual, and other men who have sex with men of all races
and ethnicities
▸ National estimates
▸ Census American Community Survey same-sex unmarried
partner household estimates
▸ National HIV Behavioral Surveillance
▸ Local HIV surveillance data
▸ Supplemental data
10. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Williams Institute Estimate
▸ National estimate
▸ An estimated 3.5% of adults identify as lesbian, gay, or
bisexual
▸ Crudely applied, this would be 188,425 people in the
EMA, and 90,793 men
11. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Census American Community Survey same-sex unmarried
partner household estimates (pp. 22-23 of epi profile)
▸ EMA-wide: 0.21% (4,180) of total households
▸ Philadelphia: 0.26% (1,519) of total households
▸ PA Counties: 0.19% (1,816) of total households
▸ NJ Counties: 0.17% (845) of total households
12. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ National HIV Behavioral Surveillance (p. 288 of epi profile)
▸ Philadelphia only
▸ 673 participants
▸ 49.5% Black, 25.3% White, 15.2% Hispanic, 5.9%
Multirace, 4.2% Other
▸ 27.5% HIV-positive; 6.4% new positives
13. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (p. 174 of epi profile)
▸ EMA-wide: 36% (9,474) of people living with HIV/AIDS
14. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (pp. 175 - 191 of epi profile)
▸ Philadelphia
▸ 33% (117) of new AIDS cases
▸ 33% (3,801) of people living with AIDS
▸ 51% (345) of new HIV (not AIDS) cases
▸ 37% (2,925) of people living with HIV (not AIDS)
15. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ 35% (29) of new AIDS cases
▸ 35% (676) of people living with AIDS
▸ 34% (44) of new HIV (not AIDS) cases
▸ 39% (1,798) of people living with HIV (not AIDS)
16. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ 31% (14) of new AIDS cases (Burlington + Camden)
▸ 32% (20) of new HIV (not AIDS) cases (Camden)
▸ 35% (1,167) of people living with HIV/AIDS
17. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ 35% (29) of new AIDS cases
▸ 35% (676) of people living with AIDS
▸ 34% (44) of new HIV (not AIDS) cases
▸ 39% (1,798) of people living with HIV (not AIDS)
18. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
GAY, BISEXUAL, AND OTHER MEN WHO HAVE SEX WITH MEN OF ALL RACES AND ETHNICITIES
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ 31% (14) of new AIDS cases (Burlington + Camden)
▸ 32% (20) of new HIV (not AIDS) cases (Camden)
▸ 35% (1,167) of people living with HIV/AIDS
19. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ Black women and men
▸ Census American Community Survey estimates
▸ Local STD data
▸ Local HIV surveillance data
20. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
BLACK WOMEN AND MEN
▸ Census American Community Survey race/ethnicity
estimates (pp. 9 - 10 of epi profile)
▸ EMA-wide: 20.21% (1,087,776) of total population
▸ Philadelphia: 41.81% (649,339) of total population
▸ PA Counties: 9.42% (236,426) of total population
▸ NJ Counties: 15.31% (202,011) of total population
21. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
BLACK WOMEN AND MEN
▸ Local HIV Surveillance, 2013 (p. 174 of epi profile)
▸ EMA-wide: 58% (15,687) of people living with HIV/AIDS
22. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
BLACK WOMEN AND MEN
▸ Local HIV Surveillance, 2013 (pp. 175 - 191 of epi profile)
▸ Philadelphia
▸ 72% (253) of new AIDS cases
▸ 64% (7,420) of people living with AIDS
▸ 74% (500) of new HIV (not AIDS) cases
▸ 62% (4,982) of people living with HIV (not AIDS)
23. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
BLACK WOMEN AND MEN
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ 46% (23) of new AIDS cases (Delaware and Montgomery)
▸ 36% (684) of people living with AIDS
▸ 52% (61) of new HIV (not AIDS) cases (Bucks, Delaware,
and Montgomery)
▸ 42% (749) of people living with HIV (not AIDS)
24. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
BLACK WOMEN AND MEN
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ 64% (36) of new AIDS cases (Burlington, Camden, and
Gloucester)
▸ 53% (43) of new HIV (not AIDS) cases (Burlington and
Camden)
▸ 47% (1,560) of people living with HIV/AIDS
25. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ Latino men and women
▸ Census American Community Survey estimates
▸ Local STD data
▸ Local HIV surveillance data
26. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
LATINO MEN AND WOMEN
▸ Census American Community Survey race/ethnicity
estimates (pp. 9 - 10 of epi profile)
▸ EMA-wide: 8.55% (460,534) of total population
▸ Philadelphia: 13.27% (206,033) of total population
▸ PA Counties: 4.85% (121,893) of total population
▸ NJ Counties: 10.05% (132,608) of total population
27. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
LATINO MEN AND WOMEN
▸ Local HIV Surveillance, 2013 (p. 174 of epi profile)
▸ EMA-wide: 14% (3,925) of people living with HIV/AIDS
28. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
LATINO MEN AND WOMEN
▸ Local HIV Surveillance, 2013 (pp. 175 - 191 of epi profile)
▸ Philadelphia
▸ 13% (46) of new AIDS cases
▸ 14% (1,619) of people living with AIDS
▸ 12% (81) of new HIV (not AIDS) cases
▸ 16% (1,242) of people living with HIV (not AIDS)
29. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
LATINO MEN AND WOMEN
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ Fewer than 5 new AIDS cases in each county
▸ 10% (192) of people living with AIDS
▸ 13% (5) of new HIV (not AIDS) cases (Montgomery)
▸ 10% (172) of people living with HIV (not AIDS)
30. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
LATINO MEN AND WOMEN
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ 15% (5) of new AIDS cases (Camden)
▸ 33% (21) of new HIV (not AIDS) cases (Camden)
▸ 20% (666) of people living with HIV/AIDS
31. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ People who inject drugs
▸ Treatment Episode Data Set - Admissions (TEDS-A)
▸ National HIV Behavioral Surveillance
▸ Local HIV surveillance
32. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ Treatment Episode Data Set - Admissions (TEDS-A)
▸ 20.1% of males, 19.9% of females admitted to
substance use facilities identified injection as their
main method of drug consumption
▸ Largest age group was 25 - 34 year olds, followed by
18 - 24 year olds
▸ 93% of people who injected drugs were White, 6%
were Black, 8% were Hispanic
33. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ National HIV Behavioral Surveillance (p. 289 of epi profile)
▸ Philadelphia only
▸ 536 participants
▸ 34.5% Black, 48.7% White, 14.9% Hispanic, 1.6%
Multirace, <1% Other
▸ 6.3% HIV-positive; 3.9% new positives
34. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ Local HIV Surveillance, 2013 (p. 174 of epi profile)
▸ EMA-wide: 23% (6,082) of people living with HIV/AIDS
35. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ Local HIV Surveillance, 2013 (pp. 175 - 191 of epi profile)
▸ Philadelphia
▸ 13% (44) of new AIDS cases
▸ 27% (3,173) of people living with AIDS
▸ 5% (37) of new HIV (not AIDS) cases
▸ 18% (1,451) of people living with HIV (not AIDS)
36. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ Zero new AIDS cases in Chester County; fewer than 5 in all
others
▸ 22% (418) of people living with AIDS
▸ Fewer than 5 new HIV cases in 3 counties; 0 in
Montgomery
▸ 13% (235) of people living with HIV (not AIDS)
37. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
PEOPLE WHO INJECT DRUGS
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ Fewer than 5 new AIDS cases in Burlington and
Camden; zero in Gloucester and Salem
▸ Fewer than 5 new HIV cases in Burlington and
Camden; zero in Gloucester and Salem
▸ 16% (526) of people living with HIV/AIDS
38. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ Youth aged 13 to 24 years
▸ Census American Community Survey Estimates
▸ Youth Risk Behavior Survey
▸ Local teen pregnancy data
▸ Local STD surveillance
▸ Local HIV surveillance
39. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Census American Community Survey age estimates for 15
- 24 year olds (pp. 12 - 19 of epi profile/American
FactFinder)
▸ EMA-wide: 15.4% (747,876) of total population
▸ Philadelphia: 16.5% (253,556) of total population
▸ PA Counties: 16.1% (321,189) of total population
▸ NJ Counties: 13.1% (173,131) of total population
40. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Youth Risk Behavior Survey for high school students (pp. 90 - 97 of
epi profile)
▸ Philadelphia
▸ 21.8% of students reported 4+ sexual partners in life
▸ 37.7% sexually active (sex in past 3 months)
▸ 42.2% did not use a condom on last occasion
▸ 85.1% did not use birth control pills
▸ 20.8% did not use any method to prevent pregnancy
41. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Youth Risk Behavior Survey for high school students (pp. 90 - 97 of
epi profile)
▸ New Jersey (statewide)
▸ 12.2% of students reported 4+ sexual partners in life
▸ 29.1% sexually active (sex in past 3 months)
▸ 41.4% did not use a condom on last occasion
▸ 78.5% did not use birth control pills
▸ 13.8% did not use any method to prevent pregnancy
42. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Local HIV Surveillance, 2013 (p. 174 of epi profile)
▸ EMA-wide: 4% (1,074) of people living with HIV/AIDS
43. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Local HIV Surveillance, 2013 (pp. 175 - 191 of epi profile)
▸ Philadelphia
▸ 12% (41) of new AIDS cases (15 to 24)
▸ 2% (249) of people living with AIDS
▸ 27% (181) of new HIV (not AIDS) cases
▸ 7% (564) of people living with HIV (not AIDS)
44. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Local HIV Surveillance, 2013 (pp. 193 -212 of epi profile)
▸ PA Counties
▸ Zero in most counties; fewer than 5 in Montgomery
▸ 2% (27) of people living with AIDS (Delaware and
Montgomery)
▸ 22% (21) of new HIV (not AIDS) cases (Delaware and
Montgomery)
▸ 7% (119) of people living with HIV (not AIDS)
45. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Local HIV Surveillance, 2013 (pp. 220 -212 of epi profile)
▸ NJ Counties
▸ Fewer than 5 new AIDS cases in Burlington and
Camden; zero in Gloucester and Salem
▸ 11% (7) of new HIV (not AIDS) cases (Camden)
▸ 3% (85) of people living with HIV/AIDS (Burlington
and Camden)
46. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
YOUTH AGED 13 TO 24 YEARS
▸ Teen pregnancy data (pp. 56 - 57 of epi profile)
▸ Declining overall within the EMA
▸ Both reported pregnancies (in southeastern PA - data
not available in New Jersey) and live births
47. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
2015 TARGET POPULATIONS IN THE PHILADELPHIA EMA
▸ Transgender women
▸ Very little data available
▸ Williams Institute Estimate
▸ National estimate
▸ An estimated 0.3% of adults identify as transgender
▸ Crudely applied, this would be 16,141 people in the
EMA
48. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
NOT A TARGET POPULATION
▸ Aging people with HIV/AIDS
▸ Not identified in the National HIV/AIDS Strategy
▸ 44% of people with HIV/AIDS in the EMA were 50+ in
2013
▸ 61% of people with HIV/AIDS in the EMA were 45+ in
2013
49. THE NATIONAL HIV/AIDS STRATEGY: THE PHILADELPHIA EMA PERSPECTIVE
FOR MORE INFORMATION
▸ Download the Epi Profile at www.hivphilly.org
▸ Read the National HIV/AIDS Strategy at aids.gov
▸ Email Briana at briana@hivphilly.org