Epidemiologic data relating to age and gender specific HIV viral suppression in Rakai, Uganda, 2013-2019

<div> <p>This repository contains the data for the analyses presented in the paper "<span><span>Age and gender profiles of HIV infection burden and viraemia: novel metrics for HIV epidemic control in African populations with high antiretroviral therapy coverage</span></span>", soon available as a preprint.&nbsp;</p> <p>We thank all contributors, program staff, and participants to the Rakai Community Cohort Study.</p> <p>We also extend our gratitude to the&nbsp;<a href="https://doi.org/10.14469/hpc/2232">Imperial College Research Computing Service</a> for providing the computational resources to perform this study. Additionally, we thank the Office of Cyberinfrastructure and Computational Biology at the&nbsp;<a href="https://www.niaid.nih.gov/">National Institute for Allergy and Infectious Diseases</a>&nbsp;for data management support; and Zulip for sponsoring team communications through the Zulip Cloud Standard chat app.&nbsp;</p> <p>All analysis code is available from <a href="https://github.com/MLGlobalHealth/longi_viral_loads">https://github.com/MLGlobalHealth/longi_viral_loads</a>.</p> </div>