netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug Research

netCanvas：开发、强化和传播用于收集 HIV 和药物研究中复杂网络和上下文数据的软件套件

• 批准号: 9899234
• 负责人: Michelle Birkett
• 金额: $ 55.14万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9899234
• 关键词: Back; Behavioral; Big Data; Cohort Studies; Collaborations; Collection; Communicable Diseases; Communities; Complex; Computer software; Consult; Custom; Data; Data Collection; Database Management Systems; Dependence; Development; Discipline; Disease; Documentation; Drug usage; Educational workshop; Ensure; Evaluation; Facebook; Feedback; Funding; Gonorrhea; HIV; Health; Health Services Accessibility; Individual; Institution; Internet; Intuition; Lead; Letters; Methodology; Methods; Modernization; Monitor; National Institute of Drug Abuse; Nature; Participant; Pathway Analysis; Pharmaceutical Preparations; Population; Population Dynamics; Poverty; Prevalence; Process; Production; Publishing; Recording of previous events; Research; Research Personnel; Resources; Science; Secure; Shapes; Site; Software Design; Software Framework; Software Tools; Stigmatization; Structure; Surveys; Technical Expertise; Technology; Testing; Thinking; Time; Training; Twitter; Universities; Visual; Work; complex data; condomless anal sex; contextual factors; cost; dashboard; data management; database design; disorder control; flexibility; high risk population; improved; injection drug use; interest; men; novel; open source; sex; social; social media; social stigma; tool; touchscreen; transmission process; user centered design; user-friendly; young men who have sex with men

Project Summary A thorough understanding of population dynamics is vital for reducing the spread of infectious disease and for informing disease control. This is particularly true with HIV, due to its high transmission dependence on drug and sexual network dynamics. For stigmatized populations with large disparities in the prevalence of HIV, structural determinants (e.g., poverty, access to care, stigma – the context surrounding the population) also drive disease. Therefore, the collection of network and contextual data is a high priority for researchers, but one that unfortunately poses enormous methodological challenges. In particular, the nature of this data has introduced new complexities in data collection, processing, and storage that limits accessibility to only those who possess the strong technical expertise and resources necessary to create bespoke solutions. Responding to this clear need, and supported by a NIDA-funded cohort study of HIV transmission (U01 DA0369349; PI: Mustanski; Co-I: Birkett), our team has developed a software tool (netCanvas-R) that can quickly and accurately capture complex network and contextual data directly from participants. Utilizing an interactive touchscreen interface, user-centered design, and modern web technologies, the collection of complex data is simplified for both researchers and participants. Our team has received extensive interest from outside research groups who wish to use our tool, but we lack the capacity for these custom configuration requests. Therefore the current project builds upon our prior work to: (1) extend and harden existing capabilities and build a standalone netCanvas software suite that is a user-friendly, generalizable, and customizable tool that will accommodate multilevel, network, longitudinal, geospatial, contextual, and behavioral data without the requirement of technical expertise; (2) ensure the sustainability of the netCanvas software suite through promotional work, engagement activities, and the production of strong training materials. This project will simplify the collection and streamline the management of complex data, thereby allowing researchers to assess more nuanced associations between contextual factors and the spread of infectious disease, and utilize this data in near real-time. Our team is particularly qualified to lead this work due to our history of successful collaboration, our complementary expertise, and our plan to seek and incorporate feedback from the network, HIV, and drug use research communities – as evidenced by our interdisciplinary Scientific Advisory Board and two sustained test site collaborations with strong NIDA-funded HIV and drug use research portfolios.

项目总结

项目成果

OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.

• DOI: 10.1038/s41598-021-88481-4
• 发表时间: 2021-04-29
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Mahdi A;Błaszczyk P;Dłotko P;Salvi D;Chan TS;Harvey J;Gurnari D;Wu Y;Farhat A;Hellmer N;Zarebski A;Hogan B;Tarassenko L
• 通讯作者: Tarassenko L