Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Match-back to eHARS data available 12 months after index date to confirm persons’ original eligibility and to assess re-engagement in care based on new HIV laboratory data, the RSVP Project, San Francisco, 2012–2013.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Characteristics* of the eligible population and investigated cases, the RSVP project, San Francisco, 2012–2013.
Rate: Number of new cases of HIV/AIDS infections per 100,000 population.
Definition: The rate of HIV transmission among adolescents and adults age 13+ per 100,000 population.
Data Source: New Jersey Enhanced HIV/AIDS Reporting System (eHARS) Division of HIV/AIDS, STD, and TB Services, New Jersey Department of Health
This blog post was posted by Damon Davis on January 6, 2017.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Percentages of MSM newly diagnosed with HIV infection by age and race/ethnicity, 2016, Santa Clara County. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Age group: 13-24, 25-29, 30-39, 40-49, 50 and older; race/ethnicity:Asian/Pacific Islander, Black/African American, Latino, White (non-Hispanic White only), Other/Unknown.Percentage (Numeric): Percentage of MSM diagnosed with HIV in a particular category among all MSM diagnoses
In helping our students become informed and active members of society, it is necessary that they develop certain skills that will empower them to improve their community and governance. These skills include communication, collaboration, and application of information. One way of helping students develop these important skills is through deliberative pedagogy. In this article, we present the curriculum for a small group activity called Deliberative Democracy (DD). Here we describe one DD activity that was iteratively developed over five years for an introductory biology course. In this DD activity, students were asked to develop a policy statement that addresses the question: “What kind of regulations should be placed on cosmetics that contain potential endocrine disrupting chemicals (EDCs)?” We incorporate multiple strategies in this activity, including readings, videos, worksheets, clicker questions, small group and individual work, and whole class discussions. This activity supports students in developing important democratic skills and provides an opportunity to apply course content to real-world issues.
Primary Image: Deliberative Democracy in Action. Principles of Biology students working small groups on a Deliberative Democracy activity.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These files contain the program and data for the article "What’s Behind Her Smile? Health, Looks, and Self-Esteem". The article examines how improving dental health affects economic, social, and psychological outcomes. In a randomized experiment, we provide a low-income group in Chile free dental care, including prostheses, and find significant and persistent impacts on men's and women's dental and self-perceived mental health. For women, treatment generates steady improvement in self-esteem, significant impact on appearance, short-run improvements in employment and earnings, and improvement in partner interactions. We find no impact for men in any of these dimensions. Heterogeneity analyses suggest that treatment effects on labor market outcomes are larger for women with more severe visible dental issues at baseline. In summary, we find that increasing access to dental care, including cosmetic elements, improves important aspects of people's lives.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Geographic distribution of rates of people living with HIV infection, 2016, by census tract, Santa Clara County. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. 2010 U.S. Census
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Percentage of HIV and STDs co-infection among persons living with HIV infection (PLWH) ages 13 and older, 2016, Santa Clara County. STD co-infections among PLWH were identified by matching the list of PLWH and the list of STD cases newly reported in Santa Clara County in 2016. STDs include chlamydia, gonorrhea, syphilis(primary, secondary, and early latent). Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017; CalREDIE, data as of March 15, 2017METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Santa Clara County is for total population living with HIV infection; sex: male, female; age group: 13-19, 20-29, 30-39, 40-49, 50-59, 60-64, 65 and older; race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); transmission mode: MSM, IDU, MSM & IDU, heterosexual contactPercentage (Numeric): Percentage of people living with HIV who was diagnosed with chlamydia, gonorrhea, or early syphilis among all people living with HIV in 2016.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
HIV care continuum among persons with HIV infection ages 13 and older, 2016, Santa Clara County. The HIV care continuum is a model to track the delivery of services to persons with HIV infection across the entire continuum of diagnosis and care. It has five major stages of HIV medical care that persons with HIV infection will go through from initial HIV diagnosis to achieving viral suppression. They are 1) HIV diagnosis, 2) linkage to care, 3) engagement and retention in care, 4) receiving antiretroviral therapy, and 5) achieving viral suppression. Estimates of linkage to care, engagement and retention in care, and viral suppression are included in this data table. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Santa Clara County is for total population living with HIV infection; sex: male, female; age group: 13-24, 25-44, 45-64, 65 and older; race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); transmission mode: MSM, IDU, MSM & IDU, heterosexual contactPercentage of linkage to care (Numeric): Percentage of persons with one or more documented viral load or CD4 test within one month of diagnosis among all persons newly diagnosed with HIV infection in 2016. Percentages are not reported if the denominator is less than 20.Percentage of in care (Numeric): Percentage of persons with at least 1 documented CD4 or viral load test in 2016 among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.Percentage of retention in care (Numeric): Percentage of persons with at least 2 documented CD4 or viral load tests in 2016, at least 3 months apart among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.Percentage of viral load suppression (Numeric): Percentage of persons with most recent HIV viral load in 2016 less than 200 copies/ml among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Match-back to eHARS data available 12 months after index date to confirm persons’ original eligibility and to assess re-engagement in care based on new HIV laboratory data, the RSVP Project, San Francisco, 2012–2013.