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HIV/AIDS remains a significant global health issue, disproportionately impacting mobile groups, including truck drivers and migrant laborers. This research examines the nexus of migration, mobility, and HIV transmission using secondary data, global health reports, and existing literature. Using theoretical approaches such as the Push-Pull Theory of Migration and Social Network Theory, this research investigates how migration patterns contribute to the spread of HIV/AIDS. UNAIDS, WHO, and India’s National AIDS Control Organization (NACO) have issued publications outlining risk behaviors, structural vulnerabilities, and policy responses. The analysis shows that, while movement is not intrinsically dangerous, the socioeconomic and structural elements associated with migration greatly increase vulnerability to HIV/AIDS. Findings indicate that while mobility itself is not a direct cause of HIV infection, it increases exposure to risky environments and limits access to prevention and care services. The paper concludes by emphasizing the role of targeted interventions, mobile health infrastructure, and social work advocacy in addressing HIV vulnerability among truck drivers and migrant workers.
Keywords:
HIV/AIDS, migration, mobility, migrant workers, truck drivers, HIV transmission, structural vulnerability, risk behaviors, social network theory, social work advocacy, socioeconomic factors, push-pull theory of migration
Cite Article:
"Migration, Mobility, and HIV/ AIDS: Insights from Truck Drivers and Migrant Workers", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b646-b649, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605173.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator