Enabling cloud deployment of a network data capture tool to improve Partner Services

支持网络数据捕获工具的云部署以改善合作伙伴服务

• 批准号: 10609285
• 负责人: Michelle Birkett
• 金额: $ 20.2万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10609285
• 关键词: Administrative Supplement; Architecture; Award; Big Data to Knowledge; COVID-19 pandemic; Caring; Client; Cloud Computing; Cloud Service; Code; Collaborations; Collection; Communicable Diseases; Communities; Complex; Computer software; Contact Tracing; Country; Data; Data Collection; Development; Diagnostic Services; Disease; Disease Outbreaks; Disease Surveillance; Drug usage; Electrons; Epidemic; Ethical Issues; Evidence based intervention; FAIR principles; Funding; Future; Goals; HIV; Human Subject Research; Individual; Infectious Diseases Research; Infrastructure; Internet; Intervention; Interview; Investigation; Knowledge; Link; Logistics; Mainstreaming; Methods; Modernization; Newly Diagnosed; Parents; Participant; Persons; Population; Prevention; Protocols documentation; Provider; Public Health; Research; Research Personnel; Resources; Risk; Self Administration; Services; Sexually Transmitted Diseases; Social Network; Software Tools; Specialist; Surveys; Telephone Interviews; Testing; Time; Trust; United States National Institutes of Health; United States Public Health Service; Visit; Work; authority; base; cloud based; data infrastructure; design; disease transmission; experience; high risk; improved; insight; open source; parent project; platform as a service; prevention service; rapid diagnosis; response; service programs; sexual HIV transmission; tool; transmission process; treatment services; uptake; usability

Project Summary Across HIV and sexually transmitted infections (STIs), the real-time understanding of transmission networks of recently infected individuals is vital for the rapid diagnosis, treatment, and prevention of new cases, and in providing insight into how the disease is transmitted, which populations are at highest risk, and who should be targeted for intervention. One of the most effective and widely implemented methods for understanding and intervening upon transmission networks is Partner Services - or interviewing a person newly diagnosed with HIV in order to identify any potentially exposed partners and notify, test, and, if necessary, connect those partners to care. However, the implementation of Partner Services by public health departments is often a challenge. In response to similar difficulties in the collection of social network research data, our team built a free open-source and NIH-funded software suite for researchers, called Network Canvas. Within the parent R34 award, we are conducting the formative work to understand the utility of Network Canvas as a free and open-source software tool that might simplify and modernize disease investigation for public health officials conducting Partner Services. Specifically, we characterized the needs of public health departments conducting Partner Services and developed a detailed technical specification of the software reconfiguration necessary to meet these needs. Finally, we are developing and implementing a pilot of the software within a Partner Services Program to demonstrate feasibility, acceptability, and gather preliminary evidence of efficacy. Our work within the R34 has demonstrated that Network Canvas's reliance on in-person interviewing limits its utility. For example, while public health's use of telephone interviews for Partner Services has been growing steadily for years, the COVID-19 pandemic hastened the complete transition to remote interviews. Accordingly, the goal of this supplement is to support the development of a remote administration option, thereby substantially increasing the usability, reach, and impact of this software for public health, drug use, and infectious disease research. In the short term, this supplement will produce a seamless end-to-end solution for public health, drug use, and infectious disease researchers to develop a network interview protocol, deploy an interview via URL link, invite participants and clients to complete this interview, and easily download interview data to their local data infrastructure. In the long term, the implications of achieving our aim would be substantially expanding the ability of researchers and public health officials to capture real-time information on disease transmission networks (e.g., contact tracing of sexual and drug use partners). The Network Canvas Software Suite and the parent R34 are an exceptional fit for an administrative supplement in response to NOT- OD-22-068. Our substantial and growing user base, our commitment to open-source development, and the immense need to make our tool “cloud-ready” ideally situates us to benefit from this support.

项目摘要 在艾滋病毒和性传播感染方面， 对于快速诊断、治疗和预防新病例至关重要， 深入了解疾病是如何传播的，哪些人群处于最高风险，以及谁应该 以干预为目标。最有效和最广泛实施的方法之一， 对传输网络进行干预是合作伙伴服务-或与新诊断为 艾滋病毒，以确定任何可能暴露的合作伙伴，并通知，测试，并在必要时，连接这些 合作伙伴关心。然而，公共卫生部门实施合作伙伴服务往往是一个 挑战.为了应对社交网络研究数据收集中的类似困难，我们的团队构建了一个 免费的开源和NIH资助的软件套件，称为网络画布。在母体内 R34奖，我们正在进行形成性的工作，以了解网络画布作为一个免费的， 开源软件工具，可以简化和现代化的疾病调查，为公共卫生官员 开展合作伙伴服务。具体来说，我们描述了公共卫生部门进行 合作伙伴服务，并制定了必要的软件重新配置的详细技术规范， 满足这些需求。最后，我们正在合作伙伴中开发和实施该软件的试点 服务计划，以证明可行性，可接受性，并收集初步证据的有效性。我们 R34内部的工作表明，Network Canvas对面对面访谈的依赖限制了其 效用例如，虽然公共卫生部门对合作伙伴服务的电话访谈的使用一直在增长， 多年来，COVID-19大流行加速了向远程采访的完全过渡。因此，委员会认为， 本补充的目标是支持远程管理选项的开发，从而 大大提高了该软件在公共卫生、药物使用和 传染病研究。在短期内，此补充将产生无缝的端到端解决方案， 公共卫生、药物使用和传染病研究人员制定网络访谈协议，部署 通过URL链接访问，邀请参与者和客户完成此访问，并轻松下载访问 将数据传输到本地数据基础设施。从长远来看，实现我们的目标的影响将是 大大提高了研究人员和公共卫生官员获取实时信息的能力， 疾病传播网络（例如，追踪性和吸毒伙伴的接触者）。网络画布 软件套件和父R34非常适合作为管理补充，以应对非- OD-22-068我们庞大且不断增长的用户群，我们对开源开发的承诺，以及 使我们的工具“云就绪”的巨大需求使我们能够从这种支持中受益。