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Ending HIV by 2030: Addressing the Epidemic Through Data Visualization

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Author:Caleb Turner
Caleb Turner
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The fight against HIV/AIDS in Kenya requires coordinated action across multiple agencies, healthcare providers, and community programs. With more than 7,000 clinics distributed across all 47 counties, understanding where prevention and treatment services are available—and where gaps remain—demands a unified, data-driven approach. Geospatial data visualization has become a critical tool in achieving this objective.

To support the global goal of ending HIV/AIDS by 2030, the United Nations Programme on HIV/AIDS (UNAIDS) implemented a digital “HIV Situation Room” platform that integrates numerous independent datasets into a single analytical environment. Previously, essential information such as clinical treatment numbers, funding allocations, drug supply inventories, and community outreach statistics existed in separate systems owned by different organizations. This fragmentation made it difficult to gain a comprehensive view of the epidemic and hindered targeted, community-level interventions.

The Situation Room solution consolidates these diverse datasets and visualizes them using geospatial mapping technologies. By plotting clinic locations, county boundaries, and health indicators onto interactive maps, decision-makers can identify regional disparities in service availability, track antiretroviral therapy (ARV) supply levels, and monitor prevention and treatment outcomes at both facility and county scales. This localized perspective enables health authorities to “think globally and act locally,” tailoring interventions to the unique needs of each region.

The platform leverages the iVEDiX analytics environment combined with Google Maps APIs to provide reliable mapping, custom geographic overlays, and dynamic visualization capabilities. Stakeholders can analyze testing service coverage, monitor drug stockout risks, and evaluate treatment access in real time, supporting faster and more informed operational decisions.

Collaboration among organizations—including UNAIDS, the Kenyan government, the National AIDS Council, the Kenya Medical Supply Authority, and private-sector technology partners—has been central to the initiative’s success. By enabling multiple stakeholders to share and analyze data within a unified geospatial framework, the HIV Situation Room strengthens coordination, improves resource allocation, and enhances the effectiveness of community-level health programs.

Through the integration of spatial analytics and cross-sector data sharing, Kenya’s data-driven approach demonstrates how geospatial visualization can play a transformative role in public health strategy—bringing the global objective of ending HIV/AIDS by 2030 closer to reality.

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