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Welcome!
Welcome
to the new Global Health and Underserved Populations (GHUP)
Web site.
GHUP's multidisciplinary
staff collaborates with a broad range of federal agencies, corporate
and philanthropic partners, professional organizations, and academic
institutions to:
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Bioinformatics
and Biostatistics Unit
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individuals in need of the following services: |
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Study
design and methodology |
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Biostatistics |
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Bioinformatics |
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MATH (Men
of Asia Testing for HIV)
Many Asian
American and Pacific Islander (AAPI) men in the U.S. at high
risk for HIV have never undergone serological testing. However,
little is known about factors that influence testing among
AAPI men. Because delayed testing is often associated with
an initial presentation of advanced disease, higher health
care costs, and disease morbidity, studies of testing behaviors
are vital. The five-year MATH study enables GHUP staff to work
in collaboration with one national AAPI health advocacy organization
and eight AAPI community-based organizations (CBOs) in the
U.S. to: (1) estimate the prevalence and incidence of HIV infection
among AAPI MSM; (2) to describe the socio-cultural and individual-level
correlates of HIV testing and knowledge of HIV infection status
among AAPI MSM; (3) to examine the socio-cultural and individual
level correlates of HIV risk among AAPI MSM; and (4) to evaluate
a consortium model framework for conducting scientific, community-based
HIV research. Ultimately, GHUP hopes to learn more about strategies
for increasing HIV testing that will help to reduce death rates
and decrease health care costs among AAPI MSM. |
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SEAHEP (The
Southeast Asian Health Education Project)
SEAHEP examines
the influence of numerous factors – ethnicity, date and
nature of immigration, socioeconomic status, degree of acculturation,
cultural proscriptions on shameful behavior, age, country of
birth, gang participation, and social marginality – on
substance abuse and HIV-related risk practices among the Vietnamese,
Cambodian, and Laotian communities in the Washington, DC area.
The project combines ethnographic qualitative strategies with
quantitative approaches in order to provide data on both risk
practices and the socio-cultural framework in which these practices
are embedded.
SAI
(The South Africa Initiative)
A supplement to SEAHEP, SAI estimates substance use/abuse and HIV-related
risk attitudes and behaviors among adult South Africans and examines the
influence of socio-cultural factors on these attitudes and behaviors.
DVP (Domestic Violence
Project)
Another supplement to SEAHEP, DVP is a three-year study that works to improve
the transition from policy to practice of programs designed to prevent intimate
partner violence, sexual violence, and child mistreatment in the Asian and
Pacific Islander communities.
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DC
MAPS (DC
Men of Asia Prevention Study)
DC-MAPS is
a five-year, two-phase project that targets self-identified
Chinese, Filipino, and Vietnamese adult gay/bisexual men and
MSM living in the Washington, DC area. The study examines the
role that socio-cultural forces such as sexual mores, shame,
and stigma play on sexual identity and orientation, as well
as the relationship between shame (or stigma) and sexuality
in substance use/abuse and HIV-related risk attitudes and practices
among the target populations. This research is of great significance
because, compared to MSM in other racial/ethnic groups, AAPI
MSM have the second highest proportion of cumulative AIDS cases. |
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CMMS
(Chinese Male Migrant Study)
The
GHUP research group conducts the two-year CMMS in collaboration
with the China Center for Reproductive Health Technical Instruction
and Training. The study seeks to describe drug use/abuse
and HIV-related risk among 200 adult male migrants in Shanghai,
China, and examine the role that socio-cultural forces such
as economic survival, shame, and stigma have in these risk
behaviors among the sample population. |
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Southern
African Initiative
The Southern African Initiative utilizes
an AUDIO-CASI instrument (a computerized questionnaire) to
elicite a better estimate of the drug use and HIV-related
risk behaviors in a sample of South Africans.
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