Learning Across Contexts: Leveraging Data, Synthesis, and Knowledge Translation to Strengthen HIV Prevention

Despite major advances in HIV prevention, critical gaps remain in how data is structured, shared, and translated into action. Massive volumes of routine program and surveillance data are generated daily, yet these valuable resources are frequently siloed, under-documented, and underutilized for real-time program improvement. Strengthening HIV prevention systems requires moving beyond traditional hypothesis-driven papers to actively publishing, sharing, and translating implementation and programmatic datasets.This Research Topic addresses this challenge by bringing together evidence-informed approaches that utilize routine data, secondary datasets, and synthesized implementation findings to strengthen HIV prevention. To promote a culture of open science and data stewardship in global health, we strongly encourage the submission of FAIR² Data Articles under the Frontiers FAIR² Data Management framework. Ultimately, this collection aims to bridge the gap between data collection and public health execution. We highlight country-led priority setting, peer-to-peer knowledge exchange, and practical data-use models that optimize prevention cascades and refine resource allocation. By showcasing how datasets can be structured to maximize utility, local ownership, and policy uptake, this Research Topic offers a clear pathway for translating local evidence into sustainable global health policies.We welcome submissions addressing, but not limited to, the following themes:o Use of routine program data, surveillance data, or multi-country datasets to answer critical HIV prevention questions without requiring new primary data collectiono Secondary and cross-country analyses identifying gaps in prevention cascades, underserved populations, or emerging service delivery needso Curation and open publication of HIV prevention datasets using the Frontiers FAIR² Data Management framework, including FAIR² Data Articleso Evidence synthesis across disciplines and sources — including research findings, programmatic data, and community perspectives — to inform country-level decision-makingo Country-led knowledge translation activities such as self-assessments, regional learning platforms, and stakeholder engagement processes that move evidence into policy and practiceo Peer-to-peer and cross-country sharing of implementation experiences and lessons learned in HIV prevention programmingTopic Editor Sarah Magni is affiliated with and a shareholder of Genesis Analytics, a private consulting company. All other Topic Editors declare no competing interests with regards to the Research Topic subject. Topic editors: Sanyukta Mathur, Parinita Bhattacharjee, Sarah Magni, Waimar Tun Source: https://www.frontiersin.org/research-topics/82721/learning-across-contexts-leveraging-data-synthesis-and-knowledge-translation-to-strengthen-hiv-prevention