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We present a model for HIV-related behaviors that emphasizes the dynamic and social nature of the structural factors that influence HIV prevention and detection. Key structural dimensions of the model include resources, science and technology, formal social control, informal social influences and control, social interconnectedness, and settings. These six dimensions can be conceptualized on macro, meso, and micro levels. Given the inherent complexity of structural factors and their interrelatedness, HIV prevention interventions may focus on different levels and dimensions. We employ a systems perspective to describe the interconnected and dynamic processes of change among social systems and their components. The topics of HIV testing and safer injection facilities (SIFs) are analyzed using this structural framework. Finally, we discuss methodological issues in the development and evaluation of structural interventions for HIV prevention and detection.
Department of Health, Behavior and Society, The Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA, firstname.lastname@example.org.
This article was published in the following journal.
Name: AIDS and behavior
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Social and economic factors that characterize the individual or group within the social structure.
A branch of medicine concerned with the role of socio-environmental factors in the occurrence, prevention and treatment of disease.
Social media model for enabling public involvement and recruitment in participation. Use of social media to collect feedback and recruit volunteer subjects.
Branch of psychiatry concerned with the provision and delivery of a coordinated program of mental health care to a specified population. The foci included in this concept are: all social, psychological and physical factors related to etiology, prevention, and maintaining positive mental health in the community.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Human Immuno Deficiency Virus (HIV)
Human Immunodeficiency Virus (HIV), the causative agent of AIDS. The Human Immunodeficiency Virus, more commonly known as HIV, is a member of the lentivirus sub-set of the retrovirus family of pathogens. It causes AIDS, or Acquired Immuno Deficiency Sy...
AIDS and HIV
AIDS; Acquired Immune Deficiency Syndrome. HIV; Human Immunodeficiency Virus HIV infection causes AIDS. HIV infection also causes the production of anti-HIV antibodies, which forms the test for HIV in patients. People who have the HIV antibodies are ...