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.

项目摘要/摘要 非洲的一个关键问题是人口规模的流行病学数据来源和分析能力的匮乏 迅速识别和理解传染病大流行病。然而，在脆弱的卫生系统和 资源有限，对人口规模的流行病学数据的需求更加紧迫地提供信息 关于传输动态并告知干预措施。数据流中的作用的总体目标 告知非洲感染动态（信息非洲）枢纽是有效地使用大数据来解决 敦促SARS COV-2和HIV PANDEMICS的公共卫生需求，其总体目标是开发 人口规模的数据流是未来大流行准备的基石。通知非洲 建议使用来自尼日利亚和南非的现有数据，这是非洲两个受影响最大的国家 占非洲大陆SARS-COV-2感染的41％，约占其HIV负担的40％。集线器被列 由两个建立良好且成功的非政府组织：尼日利亚人类病毒学研究所 （IHVN）以及南非研究中心和艾滋病研究中心（CAPRISA） 与大学及其各自的政府机构的联系也有所参与。通知非洲也是合作伙伴 与来自行业的私人合作伙伴 - 阿克罗斯·赞比亚（Akros Zambia）。通知非洲已有经验 大数据分析，量子信息处理，空间方面具有免费专业知识的研究人员 统计和分析，遗传学，计算生物学，基于代理和数据驱动建模，临床 传染病，传染病流行病学，分子病毒学和地理空间分析，以解决 通过四个特定目标提交的目标。 AIM 1从公共和私人建立数据流 为了了解可以解释COVID-的动态和影响的多层相互作用的部门 19大流行，通过三个拟议的研究项目和两个提议的核心，由飞行员补充 项目。目标2发展工具用于国家领导和政府大流行的使用 监视和对改善准备的反应。 AIM 3扩大了数据科学研究机会， 通过与更广泛的DS-I非洲财团和几个拟议的飞行员交战，能力 数据科学项目。 AIM 4保持与政策制定者和政府的持续参与 为了促进进一步开放获取高质量数据以及任何产品/工具的重新分布和吸收 由Inform Africa开发。 DMAC＆NGS核心是Inform非洲，集会和 管理研究中心的数据并无缝访问一组链接的工具和工作流程 枢纽到更广泛的DS-I非洲开放科学数据平台和协调中心。行政核心 统一和简化信息的行政，财务和沟通流程，并 协调与Inform Africa目标一致的试点项目的选择，并符合DS-I 非洲要求。项目和核心领导者组成了MPD/PI领导层和指导委员会 由科学顾问委员会支持的非洲信息。