Big Data Health Science Center.
Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC.
AIDS. 2021 May 1;35(Suppl 1):S1-S5. doi: 10.1097/QAD.0000000000002888.
The articles in this special issue of AIDS focus on the application of the so-called Big Data science (BDS) as applied to a variety of HIV-applied research questions in the sphere of health services and epidemiology. Recent advances in technology means that a critical mass of HIV-related health data with actionable intelligence is available for optimizing health outcomes, improving and informing surveillance. Data science will play a key but complementary role in supporting current efforts in prevention, diagnosis, treatment, and response needed to end the HIV epidemic. This collection provides a glimpse of the promise inherent in leveraging the digital age and improved methods in Big Data science to reimagine HIV treatment and prevention in a digital age.
本期艾滋病特刊中的文章重点关注所谓大数据科学(BDS)的应用,这些应用涉及健康服务和流行病学领域的各种 HIV 应用研究问题。技术的最新进展意味着,具有可操作情报的大量 HIV 相关健康数据可用于优化健康结果,改善和提供监测。数据科学将在支持当前预防、诊断、治疗和应对工作方面发挥关键但互补的作用,这些工作对于终结 HIV 流行至关重要。本合集提供了一个机会,可以了解利用数字时代和大数据科学的改进方法,重新构想数字时代的 HIV 治疗和预防所具有的潜力。