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.

项目概要 在艾滋病毒和性传播感染 (STI) 领域，实时了解传播网络 最近感染的个体对于快速诊断、治疗和预防新病例至关重要 深入了解疾病的传播方式、哪些人群面临最高风险以及谁应该接受治疗 有针对性的干预方法之一。 对传输网络进行干预的是合作伙伴服务 - 或采访新诊断出患有此病的人 HIV，以便识别任何可能暴露的伴侣，并通知、测试，并在必要时联系这些人 然而，公共卫生部门实施合作伙伴服务通常是一种 为了应对社交网络研究数据收集中的类似困难，我们的团队建立了一个。 为研究人员提供由 NIH 资助的免费开源软件套件，称为 Network Canvas。 R34 奖，我们正在进行形成性工作，以了解 Network Canvas 作为免费和 开源软件工具可以简化公共卫生官员的疾病调查并使之现代化 具体来说，我们描述了公共卫生部门开展合作伙伴服务的需求。 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 最后，我们正在合作伙伴内开发和实施该软件的试点。 服务计划证明可行性、可接受性并收集初步的有效性证据。 R34 内部的工作表明 Network Canvas 对面对面采访的依赖限制了其 例如，虽然公共卫生部门在合作伙伴服务中使用电话访谈的情况不断增加。 多年来，COVID-19 大流行稳步加速了向远程采访的完全过渡。 本补充的目标是支持远程管理选项的开发，从而 显着提高该软件对公共卫生、药物使用和健康的可用性、影响范围和影响 在短期内，该补充将为传染病研究提供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链接进行采访，邀请客户完成本次采访，并轻松下载采访 从长远来看，实现我们的目标的影响将是 大大提高研究人员和公共卫生官员捕获实时信息的能力 疾病传播网络（例如，性伙伴和吸毒伙伴的接触者追踪）。 软件套件和父 R34 非常适合作为行政补充，以应对 NOT- 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。