Geo-enabled detect and respond system for antimalarial resistance in Ghana: GDRS - Ghana
Geo-enabled detect and respond system for antimalarial resistance in Ghana: GDRS - Ghana
批准号:
10713339
负责人:
Alash'le G. Abimiku
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-09-11 至 2024-02-22
关键词:
AfricaAfricanAnti-malarial drug resistanceAntimalarialsAreaBloodCellular biologyCollaborationsCommunitiesContainmentDataData ScienceDecision MakingDrynessEarly DiagnosisEpidemiologyField WorkersGeneticGenomicsGeographyGhanaHIVHouseholdHumanInterventionInvestigationLaboratoriesLaboratory ResearchLinkMalariaModelingMolecularMonitorNigeriaPatientsPatternPharmaceutical PreparationsPlasmodiumResearchResearch PersonnelResistanceSamplingSpottingsStrategic PlanningSystemTranslatingTreatment FailureVaccinesVisualizationWorkcoronavirus diseasedata streamsdesigndrug efficacyepidemiologic datagenomic dataimprovedinnovationinsightmembermolecular markernext generation sequencingopen sourcepathogenprogramsresearch studyresponsesociodemographicsspatiotemporalsurveillance datasurveillance networktooltreatment guidelinesvirology
中文摘要
项目总结
抗疟疾耐药性是控制和消除疟疾的全球努力中的一个持续挑战。设计精良,
迫切需要快速和高度精确的抗疟疾监测系统来保护残留疟疾的疗效。
抗疟疾治疗,并为新的有效药物和疫苗的发现提供信息。分子标记是用于
监测抗疟疾药物的耐药性,如果用于常规监测,可以帮助发现和监测早期
在转化为治疗失败之前出现耐药性。
该项目将通过以下战略合作解决对更强大的分子监测的需求
两个地理上和科学上互补的非洲网络--DS-I非洲信息研究中心
和西非传染病病原体细胞生物学中心(WACCBIP)。阿克罗斯和人类研究所
病毒学尼日利亚,两个INFO研究中心的一部分,将与WACCBIP合作加强加纳的疟疾
基因组监测网络,包括捕获社区级、启用地理位置的干血斑(DBS)样本和
扩大这一网络,以包括非洲不同地区的其他流行病学和基因组数据流。这
合作伙伴关系将利用WACCBIP现有的基因组监测中心辐射式实验室网络,并整合该网络
通过DS-I非洲信息研究中心的工作。
这项深思熟虑的战略计划旨在将非洲非洲发展中心与DS-I非洲的合作伙伴整合在一起,这将扩大地理覆盖范围
通过以DS-I非洲已经在使用的开放源码“揭示”地理空间平台为轴心,对地理空间监视进行评估。
通过使用REVIEW,该财团将使WACCBIP现有的疟疾基因组监测网络和
扩展该平台,将家庭层面收集的星展银行数据与先进的下一代测序(NGS)实验室联系起来。
通过这个项目,利益相关者将能够可视化和监测抗疟疾耐药性的分子标记。
从DBS样本中捕获,并在地理空间上将这些基因组数据与其他数据流进行比对,包括流行病学、
方案和社会人口学数据,为干预反应提供信息。现有数据库的链接和地理启用
Display平台的监测网络将增加颗粒状的地理空间和时间抗疟疾耐药性
指导应对行动和推动对抗疟疾耐药性出现和流行的流行病学了解的见解
散开。
我们预计这个项目将为a)地理社区级别的基因组监测提供一个模式,b)更好地
在颗粒级上了解抗疟疾耐药性的表现,以及c)及时获得关键证据
指导国家疟疾规划应对和适应决策。
英文摘要
Project summary
Antimalarial drug resistance is a continuing challenge in the global effort to control and eliminate malaria. Well designed,
rapid and highly granular antimalarial surveillance systems are urgently needed to protect the efficacy of remaining
antimalarial treatments and inform discovery of new, effective drugs and vaccines. Molecular markers are useful tools to
monitor anti-malarial drug resistance and, if used in routine surveillance, could help to detect and monitor the early
emergence of resistance before it translates to treatment failures.
This project will address the need for more powerful molecular surveillance through a strategic collaboration between
two geographically and scientifically complementary, Africa-based networks - the DS-I Africa INFORM Research Hub
and the West African Center for Cell Biology for Infectious Pathogens (WACCBIP). Akros and the Institute for Human
Virology Nigeria, both part of the INFORM Research hub, will collaborate with WACCBIP to strengthen Ghana’s malaria
genomic surveillance network to include capture of community-level, geo enabled dried blood spot (DBS) samples and
expand this network to include additional epidemiologic and genomic data streams across geographies in Africa. This
partnership will leverage WACCBIP’s existing genomic surveillance ‘hub-and-spoke’ lab network and integrate the network
with the work of the DS-I Africa INFORM Research hub.
The deliberate, strategic plan to integrate WACCBIP with partners within DS-I Africa will expand geographic coverage
of geospatial surveillance through pivoting the open-source ‘Reveal’ geospatial platform already in use by DS-I Africa.
With the use of Reveal, the consortium will geoenable WACCBIP’s existing malaria genomic surveillance network and
expand the platform to link DBS data collected at the household level to advanced next generation sequencing (NGS) labs.
Through this project, stakeholders will be equipped to visualize and monitor molecular markers of antimalarial resistance
captured from the DBS samples, and geospatially align these genomic data to other data streams including epidemiologic,
programmatic, and socio-demographic data to inform intervention response. The linking and geoenabling of the existing
surveillance network to the Reveal platform will increase granular geospatial and temporal antimalarial resistance
insights to guide responsive action and drive epidemiological understanding of antimalarial resistance emergence and
spread.
We envision this project will provide a model for a) geoenabled community-level genomic surveillance, b) better
understanding of the manifestation of antimalarial resistance at a granular level, and c) timely access to critical evidence
to guide national decision-making for malaria program response and adaptation.
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