Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa

数据流在非洲感染动态通报中的作用 - INFORM Africa

• 批准号: 10312887
• 负责人: Alash'le G. Abimiku
• 金额: $ 130万
• 依托单位: INSTITUTE OF HUMAN VIROLOGY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10312887
• 关键词: 2019-nCoV; Academia; Accounting; Acquired Immunodeficiency Syndrome; Address; Adoption; Affect; Africa; African; Baltimore; Big Data; Big Data Methods; COVID-19; COVID-19 pandemic; Cellular Phone; Cessation of life; Clinical; Clinical Research; Collaborations; Communicable Diseases; Communication; Communities; Computational Biology; Country; DNA Sequencing Facility; Data; Data Analyses; Data Analytics; Data Science; Data Sources; Demographic Factors; Disease; Epidemic; Epidemiology; Funding; Future; Genetic; Genetic Variation; Genomics; Goals; Government; Government Agencies; HIV; HIV/TB; Health system; Human; Individual; Industry; Infection; Infectious Disease Epidemiology; Institutes; Intervention; Leadership; Link; Malaria; Maryland; Measures; Modeling; Molecular Virology; Movement; Nigeria; Nongovernmental Organizations; Outcome; Pathway interactions; Pattern; Pilot Projects; Play; Policy Maker; Population; Privacy; Private Sector; Privatization; Process; Public Health; Public Sector; Readiness; Research; Research Personnel; Research Project Grants; Resources; Risk; Risk Factors; Role; SARS-CoV-2 infection; SARS-CoV-2 transmission; Scientist; Seroprevalences; Severe Acute Respiratory Syndrome; Source; South Africa; Time; Transportation; United States; United States National Institutes of Health; Universities; Viral; Virus; Work; Zambia; base; college; data hub; data integration; data management; data sharing; data streams; epidemiologic data; experience; genomic variation; improved; industry partner; infection risk; information processing; insight; next generation sequencing; novel; open data; pandemic disease; pandemic preparedness; prevent; programs; quantum; rapid growth; response; statistics; tool; transmission process; uptake; viral genomics; virology

PROJECT SUMMARY/ABSTRACT A key problem in Africa is the paucity of population-scale epidemiologic data sources and analytical capacity to rapidly identify and understand infectious disease pandemics. Yet, in the context of fragile health systems and limited resources, the need for population-scale epidemiologic data is even more urgent to provide information on transmission dynamics and inform interventions. The overall goal of the ‘Role of Data streams In Informing infection dynamics in Africa (INFORM Africa) Hub’ is to effectively use big data to address pressing public health needs of SARS CoV-2 and HIV pandemics with the overall goal of developing population-scale data streams as a cornerstone of future pandemic preparedness. INFORM Africa proposes to use existing data from Nigeria and South Africa, the two most impacted countries in Africa accounting for 41% of the continent’s SARS-CoV-2 infection and about 40% of its HIV burden. The Hub is led by two well-established and successful non-governmental organizations: Institute of Human Virology Nigeria (IHVN) and the and the Centre for the AIDS Programme Of Research In South Africa (CAPRISA) with strong links with Universities and their respective government agencies, also engaged. INFORM Africa also partners with a private partner from the industry – Akros Zambia. INFORM Africa has assembled experienced researchers with complimentary expertise in big data analytics, quantum information processing, spatial statistics and analysis, genetics, computational biology, agent-based and data driven modelling, clinical infectious diseases, infectious disease epidemiology, molecular virology, and geospatial analytics to address the goal of this submission through four Specific Aims. AIM 1 establishes data streams from public and private sectors in order to understand the multilayer interactions that may explain the dynamics and impact of COVID- 19 pandemic, through three proposed Research Projects and two proposed Cores, supplemented by the pilot projects. AIM 2 develops geospatial tools for use by country leadership and governments in pandemic surveillance and response to improve preparedness. AIM 3 expands data science research opportunities and capacity through the engagement with the broader DS-I Africa consortium and through several proposed pilot projects in data science. AIM 4 maintains a sustained engagement with the policy makers and governments in order to promote further open access to high quality data and the redistribution and uptake of any product/tool developed by the INFORM Africa. The DMAC & NGS Core is the lynchpin of INFORM Africa, assembling and managing the Research Hub’s data and providing seamless access to a set of tools and workflows that link the Hub to the broader DS-I Africa Open Science Data Platform and coordinating center. The Administrative Core harmonizes and streamlines administrative, financial, and communication processes for INFORM Africa, and coordinates the selection of pilot projects consistent with INFORM Africa’s aims, and in compliance with DS-I Africa requirements. Project and Core leads make up the MPD/PI leadership and the Steering Committee of the INFORM Africa supported by a Scientific Advisory Board.

项目概要/摘要 非洲的一个关键问题是缺乏人口规模的流行病学数据来源和分析能力 然而，在脆弱的卫生系统和背景下，快速识别和了解传染病大流行。 资源有限，更迫切需要人群规模的流行病学数据来提供信息 “数据流的作用”的总体目标。 “通报非洲感染动态（INFORM Africa）中心”的目的是有效利用大数据来解决 SARS CoV-2 和 HIV 流行病的紧迫公共卫生需求，总体目标是 人口规模的数据流是未来大流行病防范的基石。 建议使用非洲受影响最严重的两个国家尼日利亚和南非的现有数据 占非洲大陆 41% 的 SARS-CoV-2 感染和约 40% 的艾滋病毒负担。 由两个成熟且成功的非政府组织发起：尼日利亚人类病毒学研究所 (IHVN) 和南非艾滋病研究计划中心 (CAPRISA) INFORM Africa 还与大学及其各自的政府机构建立了联系。 INFORM Africa 与行业私营合作伙伴 Akros Zambia 汇聚了经验丰富的合作伙伴。 研究人员在大数据分析、量子信息处理、空间 统计和分析、遗传学、计算生物学、基于代理和数据驱动的建模、临床 传染病、传染病流行病学、分子病毒学和地理空间分析来解决 本次提交的目标是通过四个具体目标 1 建立来自公共和私人的数据流。 部门，以了解可能解释新冠病毒动态和影响的多层相互作用 19 大流行病，通过三个拟议的研究项目和两个拟议的核心项目，并辅以试点 AIM 2 开发地理空间工具，供国家领导层和政府在疫情期间使用。 AIM 3 扩大了数据科学研究的机会和响应。 通过与更广泛的 DS-I 非洲联盟的合作以及通过几个拟议的试点来提高能力 AIM 4 与政策制定者和政府保持持续接触。 为了促进进一步开放获取高质量数据以及任何产品/工具的重新分发和采用 由 INFORM Africa 开发 DMAC 和 NGS 核心是 INFORM Africa 的关键，负责组装和管理。 管理研究中心的数据并提供对一组链接研究中心的工具和工作流程的无缝访问 更广泛的 DS-I 非洲开放科学数据平台和协调中心的枢纽。 协调并简化 INFORM Africa 的行政、财务和沟通流程，以及 协调符合 INFORM Africa 目标并符合 DS-I 的试点项目的选择 非洲需求。项目和核心领导组成 MPD/PI 领导层和指导委员会。 INFORM Africa 由科学顾问委员会支持。