He is the PI of NIH-funded studies to determine reasons for black/white disparities in HIV among MSM, to pilot HIV prevention packages among MSM in South Africa, to evaluate distribution of at-home HIV test kits to MSM in the US, and to develop and test a comprehensive mobile prevention app for gay and bisexual men.
Arti Virkud - Epidemiological research using aggregate data from NYC ambulato...PolicyMap
Arti's research ranges from chronic disease studies on non-alcoholic fatty liver disease and falls risk in older adults to infectious disease projects on tuberculosis and HIV prevention.
Taking Collaborations to Scale to Improve Population HealthPractical Playbook
This document discusses scaling collaborations to improve population health. It provides an agenda for a workshop on the topic, including framing the issue using Doug Engelbart's concept of Networked Improvement Communities. It then outlines two key efforts - the CDC's 6|18 Initiative and the 100 Million Healthier Lives Movement. The document discusses key elements of spreading and scaling up initiatives, providing examples from the field. It poses questions to prompt discussion around interesting ideas and activating whole-of-nation efforts through local action.
The document summarizes the results of a survey of Wisconsin American Planning Association members regarding their use of land information data. Key findings include that while many planners are aware of available land information programs, some are not utilizing the data due to lack of awareness, access difficulties, or reliance on GIS professionals. Respondents indicated they most commonly use land information for planning purposes like regulation, reports, and analysis. The survey also identified needs for more standardized, accessible, and up-to-date land information across jurisdictions.
The document discusses associations among phenomena, correlations versus causation, regionalization, maps and spatial data sets, America's fattest cities, changing interconnections, and scale. Key topics covered include analyzing relationships between different variables, distinguishing correlation from causation, defining and studying regions, and examining data geographically over different scales.
Journalists in Afghanistan face violence and threats that undermine their work. An organization called Internews and their local partner Nai are working to improve media freedom and support journalists. They have collected data on 266 incidents of violence against journalists from 2001-2011, including 27 killed and 73 beaten. They created an interactive online map to make this data publicly available in order to increase collaboration and help defend media freedom.
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Arti's research ranges from chronic disease studies on non-alcoholic fatty liver disease and falls risk in older adults to infectious disease projects on tuberculosis and HIV prevention.
Taking Collaborations to Scale to Improve Population HealthPractical Playbook
This document discusses scaling collaborations to improve population health. It provides an agenda for a workshop on the topic, including framing the issue using Doug Engelbart's concept of Networked Improvement Communities. It then outlines two key efforts - the CDC's 6|18 Initiative and the 100 Million Healthier Lives Movement. The document discusses key elements of spreading and scaling up initiatives, providing examples from the field. It poses questions to prompt discussion around interesting ideas and activating whole-of-nation efforts through local action.
The document summarizes the results of a survey of Wisconsin American Planning Association members regarding their use of land information data. Key findings include that while many planners are aware of available land information programs, some are not utilizing the data due to lack of awareness, access difficulties, or reliance on GIS professionals. Respondents indicated they most commonly use land information for planning purposes like regulation, reports, and analysis. The survey also identified needs for more standardized, accessible, and up-to-date land information across jurisdictions.
The document discusses associations among phenomena, correlations versus causation, regionalization, maps and spatial data sets, America's fattest cities, changing interconnections, and scale. Key topics covered include analyzing relationships between different variables, distinguishing correlation from causation, defining and studying regions, and examining data geographically over different scales.
Journalists in Afghanistan face violence and threats that undermine their work. An organization called Internews and their local partner Nai are working to improve media freedom and support journalists. They have collected data on 266 incidents of violence against journalists from 2001-2011, including 27 killed and 73 beaten. They created an interactive online map to make this data publicly available in order to increase collaboration and help defend media freedom.
Treating the whole community - Amy Carroll-Scott, Ph.D. MPH (20181212)PolicyMap
Health care providers and government agencies can benefit from knowing more about the communities they serve. They can address issues unique to low-income patients and other groups with specific needs, improving outcomes and lowering medical costs. Using a data-driven approach to public health, they can successfully implement targeted health interventions, while lowering costs.
We hear from two practitioners and researchers who will talk about ways that they’re using community level data to improve public health: Sarah Dixon from the Iowa Primary Care Association and Amy Carroll-Scott from Drexel University’s Dornsife School of Public Health.
Key Populations and the HIV Epidemic: Lessons Learned in M&E and Future Direc...MEASURE Evaluation
MEASURE Evaluation is a global health project funded by USAID to strengthen health information systems in over 25 countries. The project works to improve collection, analysis and use of health data to support decision making. Sharon Weir presented on lessons learned from monitoring and evaluating programs for key populations affected by HIV. She discussed how surveillance can provide more immediate information for programs if distinguished from other monitoring and evaluation activities. The presentation also covered adaptations made to the PLACE method over time to better align with prevention goals and strategically target local HIV epidemics.
This document provides an overview of HealthLandscape, which is a tool created by the American Academy of Family Physicians to help with data-driven healthcare decision making through geographic information systems (GIS) mapping. The presentation discusses HealthLandscape's history and capabilities, provides a brief introduction to GIS, and outlines several free online HealthLandscape mapping tools that can be used to visualize health outcomes, social determinants of health, and healthcare workforce data. It also describes how HealthLandscape can work with organizations to create custom maps and analyses to support advocacy efforts and other projects.
Nevada state health division screen shot of site #GOMOJO, INC.
Nevada Prevention and Care Programs
Core practices that are moving from a pilot state to implementation at scale: Many of the
barriers facing HIV programs are common across countries. PEPFAR’s ECTs (described below in
Sections 2.3.2 and 2.3.3) identified common issues affecting countries at various levels of
epidemic control and then developed a compendium of evidence-based solutions, approaches
and case-studies that highlight successful means of addressing common barriers. Additional
evidence-based approaches and case-studies will be incorporated into this living compendium
over time. As highlighted in this PEPFAR Solutions Platform, these practices can be rapidly
adapted and scaled to move countries forward.
Key considerations for all PEPFAR programs include:
• Bringing Interventions to Scale with Fidelity: Getting to HIV epidemic control is dependent on
several factors; not the least of which is the ability to rapidly scale successful interventions with
fidelity and demonstrated impact. However, the logistics of cost- effective programmatic scale
have proven challenging, with several implementation barriers. Implementation science
defines scalability as the capacity to expand or extend an intervention to account for a growth
factor that aims to fill a gap or address unmet need in a defined population group/geographic
area.
• Data and Information Technology: The enabling environment for data and information
technology is rapidly maturing across countries, creating space, opportunity, and needed
political will to harness the Data Revolution for epidemic control. OUs should consider
innovative ways to use data and information technology to improve efficiency and
sustainability in achieving epidemic control, beyond immediate PEPFAR indicator data
collection needs. As highlighted in the Data Revolution Innovation Toolkit, available on the
PEPFAR SharePoint, OUs are encouraged to explore, adapt, and scale these and other data
driven approaches to move country epidemic control forward.
Treating the whole community - Sarah Dixon, MPA (20181212)PolicyMap
Health care providers and government agencies can benefit from knowing more about the communities they serve. They can address issues unique to low-income patients and other groups with specific needs, improving outcomes and lowering medical costs. Using a data-driven approach to public health, they can successfully implement targeted health interventions, while lowering costs.
We hear from two practitioners and researchers who will talk about ways that they’re using community level data to improve public health: Sarah Dixon from the Iowa Primary Care Association and Amy Carroll-Scott from Drexel University’s Dornsife School of Public Health.
Abt Associates and Atlas Research have partnered to conduct qualitative research on HIV prevention, care, and treatment through in-depth interviews, focus groups, observations, and data analysis. This research aims to better understand the context of risk behaviors and the barriers and facilitators experienced by those at risk or living with HIV. The organizations have expertise in qualitative methods and working with hard-to-reach populations. They are currently conducting several studies, including on barriers healthcare providers face and barriers transgender women face in HIV prevention and care.
This document provides an evaluation report and guide for online sexual health outreach programs in Ontario. It begins with an introduction to the guide's purpose and background on the Gay Men's Sexual Health Alliance. It then reviews evidence that online outreach can effectively reach at-risk populations like gay, bisexual and other men who have sex with men. The guide aims to help organizations provide effective online outreach and discusses building an online outreach program, policies, evaluation and more.
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This document is the Tana River County HIV & AIDS Strategic Plan (TRCASP) for 2016-2020. It aims to create a generation free from HIV in Tana River County. The plan was developed through engagement with stakeholders in the county. It contains background information on the county, an HIV situational analysis, the rationale and process for developing the strategic plan, the vision, goal and objectives. It outlines the implementation arrangements and plans for research, monitoring and evaluation of the plan. The plan aims to guide the county's HIV response through evidence-based investments and ensuring all citizens can access services while reducing stigma.
Health informatics tools like geographic information systems can help public health organizations analyze spatially-referenced data and make informed decisions. During the bubonic plague, sharing information about the disease's geographic spread may have helped physicians discover risk factors and respond more effectively. Today, public health relies heavily on information systems to support decision-making, operations, planning, and more. However, effective leadership is also needed to strategically manage data and informatics in a way that benefits stakeholders.
AIDSVu: Mapping HIV Surveillance Data and Promoting HIV TestingCDC NPIN
AIDSVu is an online mapping tool created by researchers at Emory University to make HIV surveillance data accessible and promote HIV testing. It aims to motivate individuals and communities to take action by visualizing HIV prevalence data at national, state and local levels. The site launched in June 2011 and received over 100,000 visitors in its first months. Researchers hope AIDSVu can inform the public about the epidemic and help target prevention, care and resource allocation.
Place vulnerability of hiv aids in texasAdam Harold
This document summarizes research on neighborhood characteristics associated with HIV/AIDS in Texas. The research finds that 14% of geographic variation in HIV/AIDS cases is explained by neighborhood factors, emphasizing the need for place-based approaches. Regression analysis shows higher HIV/AIDS counts in areas with higher poverty, black populations, late testing rates, and proximity to prisons or healthcare. The results can help identify vulnerable areas and barriers to access. Future work should incorporate more structural variables and qualitative data to better understand barriers and target interventions.
Spatial Inequities and Health Disparities among American Indians and Alaska Natives
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Health equity through data and mapping on PolicyMapPolicyMap
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This document provides the Mandera County HIV and AIDS Strategic Plan for 2016-2019. It begins with an introduction that provides background on HIV in Kenya and Mandera County. It then outlines the plan's guiding principles and strategic directions. The strategic directions include reducing new HIV infections, improving health outcomes for people living with HIV, facilitating access to services, strengthening integration of health and community systems, increasing research and information management, promoting use of strategic information, increasing domestic HIV financing, and strengthening county coordination. The plan also covers implementation, monitoring and evaluation, and annexes that include a results framework and resource needs. The overall goal is for Mandera County to contribute to national targets of reducing HIV infections, stigma, deaths and increasing domestic
Census Tract maps Final 12.07 w. neighborhood maps attachedAriel Rogers
The document summarizes health, economic, and demographic data from 20 maps of North King County created by the Communities of Opportunity partnership. The maps show disparities in factors like preventable hospitalizations, tobacco use, income, and diversity across census tracts. Preventable hospitalizations are most concentrated along the I-5 corridor from Crown Hill to Lake City. Tobacco use is highest above 85th street and centered between Aurora and Lake City Way. The data aims to identify inequities and inform efforts to increase opportunity for at-risk communities.
This document discusses the use of federal surveys like the American Community Survey (ACS) and National Health Interview Survey (NHIS) for state policy analysis and decision making. It notes that while federal surveys provide large sample sizes and standardized questions, state surveys better meet state needs like providing timely data for implementation of health reform, targeting outreach efforts, and conducting budget forecasting. Federal surveys often have small state sample sizes, lack state-specific questions, and release data too slowly to inform state policy decisions. The document considers how federal surveys could better support state data needs through funding a representative state health survey or building a state-level data infrastructure to inform national coverage monitoring.
The document provides an overview of the EMPHASIS project which aims to address HIV vulnerability among mobile populations in South Asia. The project will work along mobility routes from Nepal and Bangladesh to India, setting up service networks to increase access to HIV prevention, treatment, and care. In the first year, the project will focus on building knowledge about the target populations to inform the design and delivery of effective HIV services tailored to their needs and experiences of mobility.
The document discusses HIV epidemiology in Saskatchewan, highlighting that the province has seen a rapid increase in new HIV cases and now has the highest rates in Canada. It summarizes Saskatchewan's 2010-2013 HIV Strategy, which aims to reduce new infections and improve quality of life for those living with HIV through improved surveillance, clinical management, prevention, and harm reduction programs. The strategy goals include earlier detection of cases, decreasing new infections and sexually transmitted infections, and increasing access to testing, care, and prevention services.
Sparking transformation in HBCU Communities; Opportunity Zone and data analysisPolicyMap
Opportunity Zones will soon help spark the transformation of HBCU neighborhoods around the country. The Renaissance HBCU Opportunity Fund is a partnership between the HBCU Community Development Action Coalition and community economic development advisory firm Renaissance Equity Partners, with Calvert Impact Capital providing professional advice. The fund is raising $50 million fund to support mixed-use developments around HBCU campuses in Opportunity Zones. The Kresge and Rockefeller Foundations will be providing additional support.
Wells Fargo Regional Foundation webinar with Bruze KatzPolicyMap
The Tax Cuts and Jobs Act of 2017 provides tax incentives for private investments in low-income areas designated as Opportunity Zones to spur economic development. The Opportunity Zones provision aims to attract hundreds of billions in private capital investments, which could make it one of the largest economic development initiatives in U.S. history. Wells Fargo will provide technical assistance, thought leadership, project financing support, and convene stakeholders to scale investment prospects in Opportunity Zones.
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Core practices that are moving from a pilot state to implementation at scale: Many of the
barriers facing HIV programs are common across countries. PEPFAR’s ECTs (described below in
Sections 2.3.2 and 2.3.3) identified common issues affecting countries at various levels of
epidemic control and then developed a compendium of evidence-based solutions, approaches
and case-studies that highlight successful means of addressing common barriers. Additional
evidence-based approaches and case-studies will be incorporated into this living compendium
over time. As highlighted in this PEPFAR Solutions Platform, these practices can be rapidly
adapted and scaled to move countries forward.
Key considerations for all PEPFAR programs include:
• Bringing Interventions to Scale with Fidelity: Getting to HIV epidemic control is dependent on
several factors; not the least of which is the ability to rapidly scale successful interventions with
fidelity and demonstrated impact. However, the logistics of cost- effective programmatic scale
have proven challenging, with several implementation barriers. Implementation science
defines scalability as the capacity to expand or extend an intervention to account for a growth
factor that aims to fill a gap or address unmet need in a defined population group/geographic
area.
• Data and Information Technology: The enabling environment for data and information
technology is rapidly maturing across countries, creating space, opportunity, and needed
political will to harness the Data Revolution for epidemic control. OUs should consider
innovative ways to use data and information technology to improve efficiency and
sustainability in achieving epidemic control, beyond immediate PEPFAR indicator data
collection needs. As highlighted in the Data Revolution Innovation Toolkit, available on the
PEPFAR SharePoint, OUs are encouraged to explore, adapt, and scale these and other data
driven approaches to move country epidemic control forward.
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By offering a variety of massage services, our Ajman Spa Massage Center can tackle physical, mental, and emotional illnesses. In addition, efficient identification of specific health conditions and designing treatment plans accordingly can significantly enhance the quality of massaging.
At Malayali Kerala Spa Ajman, we firmly believe that everyone should have the option to experience top-quality massage services regularly. To achieve that goal we offer cheap massage services in Ajman.
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Simple Steps to Make Her Choose You Every DayLucas Smith
Simple Steps to Make Her Choose You Every Day" and unlock the secrets to building a strong, lasting relationship. This comprehensive guide takes you on a journey to self-improvement, enhancing your communication and emotional skills, ensuring that your partner chooses you without hesitation. Forget about complications and start applying easy, straightforward steps that make her see you as the ideal person she can't live without. Gain the key to her heart and enjoy a relationship filled with love and mutual respect. This isn't just a book; it's an investment in your happiness and the happiness of your partner
English Drug and Alcohol Commissioners June 2024.pptxMatSouthwell1
Presentation made by Mat Southwell to the Harm Reduction Working Group of the English Drug and Alcohol Commissioners. Discuss stimulants, OAMT, NSP coverage and community-led approach to DCRs. Focussing on active drug user perspectives and interests
Digital Health in India_Health Informatics Trained Manpower _DrDevTaneja_15.0...DrDevTaneja1
Digital India will need a big trained army of Health Informatics educated & trained manpower in India.
Presently, generalist IT manpower does most of the work in the healthcare industry in India. Academic Health Informatics education is not readily available at school & health university level or IT education institutions in India.
We look into the evolution of health informatics and its applications in the healthcare industry.
HIMMS TIGER resources are available to assist Health Informatics education.
Indian Health universities, IT Education institutions, and the healthcare industry must proactively collaborate to start health informatics courses on a big scale. An advocacy push from various stakeholders is also needed for this goal.
Health informatics has huge employment potential and provides a big business opportunity for the healthcare industry. A big pool of trained health informatics manpower can lead to product & service innovations on a global scale in India.
nursing management of patient with Empyema pptblessyjannu21
prepared by Prof. BLESSY THOMAS, SPN
Empyema is a disease of respiratory system It is defines as the accumulation of thick, purulent fluid within the pleural space, often with fibrin development.
Empyema is also called pyothorax or purulent pleuritis.
It’s a condition in which pus gathers in the area between the lungs and the inner surface of the chest wall. This area is known as the pleural space.
Pus is a fluid that’s filled with immune cells, dead cells, and bacteria.
Pus in the pleural space can’t be coughed out. Instead, it needs to be drained by a needle or surgery.
Empyema usually develops after pneumonia, which is an infection of the lung tissue. it is mainly caused due in infectious micro-organisms. It can be treated with medications and other measures.
As Mumbai's premier kidney transplant and donation center, L H Hiranandani Hospital Powai is not just a medical facility; it's a beacon of hope where cutting-edge science meets compassionate care, transforming lives and redefining the standards of kidney health in India.
AIDSVu is a compilation of interactive, online maps that allows users to visually explore the HIV epidemic in the U.S. alongside critical resources such as HIV testing and treatment center locations.
AIDSVu’s mission is to make HIV prevalence data widely accessible and locally relevant.
AIDSVu provides users with an intuitive, visual way to connect with complex information about persons living with an HIV diagnosis at national, state and local levels.
AIDSVu uses data from multiple trusted sources to populate its interactive maps.
In order to be able to compare data between jurisdictions, AIDSVu’s state- and county-level data about persons living with an HIV diagnosis come from the U.S. Centers for Disease Control and Prevention (CDC). ZIP Code, census tract, and neighborhood data come directly from jurisdictions’ health departments. AIDSVu data do not reflect undiagnosed cases.
Other data available on AIDSVu include:
Social determinants of health data at the state and county level
HIV testing and treatment center locations
NIH-funded HIV Prevention, Vaccine and Treatment Trials Sites
Housing Opportunities for People with AIDS
AIDSVu can play a direct role in supporting the National HIV/AIDS Strategy goals.
AIDSVu images can increase a community’s awareness of the problem and lead directly to more action to prevent new HIV infections.
AIDSVu helps users to take action on the information they’ve learned, such as locating sites to get an HIV test, and finding other prevention, care and treatment resources.
AIDSVu can also be a resource to identify areas and populations most highly affected by HIV, and where HIV prevention resources may be most needed and most impactful.
Rates of Persons Living with an HIV Diagnosis, by County, 2012
This map shows the estimated county-level rates (per 100,000 population) of adults and adolescents living with an HIV diagnosis at the end of 2012.
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 2013.
Persons living with an HIV diagnosis are classified as adult or adolescent based on age at end of 2012.
There are no counties in Alaska, the District of Columbia, and Puerto Rico.
Data were released to AIDSVu in accordance with state health departments' HIV surveillance data re-release agreements with CDC.
More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Newly Diagnosed with HIV, by County, 2013
These maps show the estimated county-level rates (per 100,000 population) of adults and adolescents newly diagnosed with HIV at the end of 2013.
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 2014.
There are no counties in Alaska, the District of Columbia, and Puerto Rico.
Data were released to AIDSVu in accordance with state health departments' HIV surveillance data re-release agreements with CDC.
More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Living with an HIV or AIDS Diagnosis, by ZIP Code, Philadelphia, 2012.This map shows the reported ZIP-code-level rates (per 100,000 population) of persons living with an HIV or AIDS diagnosis in Philadelphia at the end of 2012. Data reflect cases reported through 12/31/2013 and are based on residence at diagnosis as reported in Philadelphia's Enhanced HIV/AIDS Reporting System (eHARS). Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information.Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012.More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Living with an HIV or AIDS Diagnosis, by Census Tract, Chicago, 2012.
This map shows the reported census-tract-level rates (per 100,000 population) of persons living with an HIV or AIDS diagnosis in Chicago at the end of 2012.
Data reflect cases reported through 09/30/2014 and are based on residence at diagnosis as reported in Chicago's Enhanced HIV/AIDS Reporting System (eHARS). Community areas were assigned based on residence at diagnosis (when available), or earliest residence reported.
Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012.
More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Living with an HIV or AIDS Diagnosis, by Neighborhood, San Francisco, 2012.
This map shows the reported census-tract-level rates (per 100,000 population) of persons living with an HIV or AIDS diagnosis in San Francisco at the end of 2012.
Data reflect cases reported through 02/05/2015. Neighborhoods were assigned based on residence at diagnosis (when available), or earliest residence reported.
Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012. More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Aged 25-44 Living with an HIV or AIDS Diagnosis, by ZIP Code, Philadelphia, 2012.This map shows the reported ZIP-code-level rates (per 100,000 population) of persons aged 25-44 living with an HIV or AIDS diagnosis in Philadelphia at the end of 2012. Data reflect cases reported through 12/31/2013 and are based on residence at diagnosis as reported in Philadelphia's Enhanced HIV/AIDS Reporting System (eHARS). Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information.Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012.More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Black & White Persons Living with an HIV or AIDS Diagnosis, by ZIP Code, Philadelphia, 2012.These maps show a comparison of the reported ZIP-code-level rates (per 100,000 population) of black & white persons living with an HIV or AIDS diagnosis in Philadelphia at the end of 2012. Data reflect cases reported through 12/31/2013 and are based on residence at diagnosis as reported in Philadelphia's Enhanced HIV/AIDS Reporting System (eHARS). Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information.Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012. More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Living with an HIV Diagnosis & Poverty Rates, by ZIP Code, Philadelphia, 2012.These maps show the estimated ZIP-code-level rates (per 100,000 population) of adults and adolescents living with an HIV diagnosis in Philadelphia at the end of 2012 on the left and the percent of the ZIP Code population living in poverty on the right.Data reflect cases reported through 12/31/2013 and are based on residence at diagnosis as reported in Philadelphia's Enhanced HIV/AIDS Reporting System (eHARS). Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information.Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012.More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
Rates of Persons Living with an HIV Diagnosis & Median Household Income, by ZIP Code, Philadelphia, 2012.These maps show the estimated ZIP-code-level rates (per 100,000 population) of adults and adolescents living with an HIV diagnosis in Philadelphia at the end of 2012 on the left and the median household income at the ZIP-code-level on the right.Data reflect cases reported through 12/31/2013 and are based on residence at diagnosis as reported in Philadelphia's Enhanced HIV/AIDS Reporting System (eHARS). Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information.Persons living with an HIV or AIDS diagnosis are classified as adult or adolescent based on age at end of 2012.More information about AIDSVu's data methods and sources can be found at www.aidsvu.org.
HIV prevalence data on AIDSVu may differ slightly from data released by state and local HIV surveillance programs because of different analysis criteria and because data released from CDC has been de-duplicated on a national basis.
Caution should be exercised when interpreting county, ZIP code, census tract, and neighborhood data as these statistics are inclusive of incarcerated persons and their inclusion may artificially inflate the actual rate and case count when an institution is housed within it. See AIDSVu’s Data Methods for details regarding this limitation.
AIDSVu maps do not reflect undiagnosed cases.
Caution should be exercised when comparing maps because the scales change when viewing data overall and by race/ethnicity, sex and age group breakdowns.
Comparisons should not be made between AIDSVu’s state and county maps and its ZIP code/census tract/neighborhood maps because the data sources are different.