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
基本信息
- 批准号:10312887
- 负责人:
- 金额:$ 130万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:2019-nCoVAcademiaAccountingAcquired Immunodeficiency SyndromeAddressAdoptionAffectAfricaAfricanBaltimoreBig DataBig Data MethodsCOVID-19COVID-19 pandemicCellular PhoneCessation of lifeClinicalClinical ResearchCollaborationsCommunicable DiseasesCommunicationCommunitiesComputational BiologyCountryDNA Sequencing FacilityDataData AnalysesData AnalyticsData ScienceData SourcesDemographic FactorsDiseaseEpidemicEpidemiologyFundingFutureGeneticGenetic VariationGenomicsGoalsGovernmentGovernment AgenciesHIVHIV/TBHealth systemHumanIndividualIndustryInfectionInfectious Disease EpidemiologyInstitutesInterventionLeadershipLinkMalariaMarylandMeasuresModelingMolecular VirologyMovementNigeriaNongovernmental OrganizationsOutcomePathway interactionsPatternPilot ProjectsPlayPolicy MakerPopulationPrivacyPrivate SectorPrivatizationProcessPublic HealthPublic SectorReadinessResearchResearch PersonnelResearch Project GrantsResourcesRiskRisk FactorsRoleSARS-CoV-2 infectionSARS-CoV-2 transmissionScientistSeroprevalencesSevere Acute Respiratory SyndromeSourceSouth AfricaTimeTransportationUnited StatesUnited States National Institutes of HealthUniversitiesViralVirusWorkZambiabasecollegedata hubdata integrationdata managementdata sharingdata streamsepidemiologic dataexperiencegenomic variationimprovedindustry partnerinfection riskinformation processinginsightnext generation sequencingnovelopen datapandemic diseasepandemic preparednesspreventprogramsquantumrapid growthresponsestatisticstooltransmission processuptakeviral genomicsvirology
项目摘要
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.
项目总结/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,
快速识别和了解传染病大流行。然而,在卫生系统脆弱的背景下,
在资源有限的情况下,对人群规模流行病学数据提供信息的需求更为迫切
传播动态和知情干预。“数据流在
非洲感染动态信息中心(INFORM Africa)旨在有效利用大数据解决
SARS CoV-2和HIV流行的紧迫公共卫生需求,
人口规模的数据流作为未来大流行病防范的基石。INFORM Africa
建议使用非洲两个受影响最严重的国家尼日利亚和南非的现有数据
占非洲大陆SARS-CoV-2感染的41%,约占其艾滋病毒负担的40%。中心被领导
由两个著名的成功的非政府组织:尼日利亚人类病毒学研究所
(IHVN)和南非艾滋病研究方案中心(CAPRISA),
与大学及其各自的政府机构的联系,也参与。INFORM非洲也是合作伙伴
与来自该行业的私人合作伙伴- Akros赞比亚。INFORM Africa汇集了经验丰富的
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,
通过四个具体目标来实现这一目标。AIM 1建立来自公共和私有的数据流
部门,以了解可能解释COVID的动态和影响的多层次相互作用,
19大流行,通过三个拟议的研究项目和两个拟议的核心,辅以试点
项目AIM 2开发地理空间工具,供国家领导层和政府在大流行病中使用
监测和反应,以改善备灾状况。AIM 3扩大了数据科学研究的机会,
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项目,
数据科学的项目。AIM 4与决策者和政府保持持续接触,
为了进一步促进对高质量数据的开放访问,以及任何产品/工具的重新分配和使用,
由非洲信息组织开发。DMAC和NGS核心是INFORM非洲的关键,
管理研究中心的数据,并提供无缝访问一组工具和工作流程,这些工具和工作流程将
更广泛的DS-I非洲开放科学数据平台和协调中心的枢纽。行政核心
协调和简化非洲信息组织的行政、财务和通信流程,
根据INFORM Africa的目标和DS-I,协调试点项目的选择
非洲的要求。项目和核心领导人组成MPD/PI领导层和
由一个科学咨询委员会支持的非洲信息网。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Alash'le G. Abimiku其他文献
Alash'le G. Abimiku的其他文献
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{{ truncateString('Alash'le G. Abimiku', 18)}}的其他基金
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Expanding the pool of Independent Investigators in Implementation Science in Nigeria throug h HIV research training (EXPAND)
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Expanding the pool of Independent Investigators in Implementation Science in Nigeria throug h HIV research training (EXPAND)
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10619475 - 财政年份:2022
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Expanding the pool of Independent Investigators in Implementation Science in Nigeria throug h HIV research training (EXPAND)
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- 批准号:
10472879 - 财政年份:2022
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10631024 - 财政年份:2022
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$ 130万 - 项目类别:
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:
10490316 - 财政年份:2021
- 资助金额:
$ 130万 - 项目类别:
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:
10669758 - 财政年份:2021
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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:
10672628 - 财政年份:2021
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