Belmont Forum Collaborative Research: Health and agriculture sustainability through interdisciplinary surveillance and risk assessment platform of global emerging zoonotic diseases
Belmont Forum Collaborative Research: Health and agriculture sustainability through interdisciplinary surveillance and risk assessment platform of global emerging zoonotic diseases
批准号:
2137235
负责人:
Beatriz Martinez Lopez
金额:
$7.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2024-07-31
中文摘要
该奖项通过贝尔蒙特论坛,为参与由55个国家的全球变化研究倡议竞争性选择的项目的美国研究人员提供支持。 贝尔蒙特论坛是一个由研究供资组织组成的联合会,其重点是支持对全球环境变化挑战和机遇采取跨学科办法。 它的目的是通过调整和调动国际资源,加快提供最迫切需要的国际研究,以消除可持续性的关键障碍。每个伙伴国家都在一个财团内为其研究人员提供资金,以减轻跨越国际边界的资金需求。这一办法有助于有效利用国家资源,支持对具有全球意义的专题进行出色的研究,最好通过多国办法加以处理,同时认识到全球挑战需要全球解决办法。该奖项为美国研究人员提供支持,使他们能够在由至少三个参与国的合作伙伴组成的联盟中进行合作。 这些小组将建立跨学科网络,为可持续发展道路制定创新解决方案,并寻求评估经济、技术、机构与环境、气候、生物多样性、人的幸福,该项目旨在开发和建立一个平台,以帮助理解和预测重要能源的传输动态,在生态、野生动物和人类的交界处的人畜共患病。该平台将把不同研究开发的各级数据库和分析方法整合到一个单一平台,使世界不同地区更容易进入,以帮助监测和控制疾病爆发。Eco 2 Health将在其平台开发中专门针对禽流感病毒传播,并将整合现有数据库中的几种分析工具,包括:由公民科学家生成的数据库,如eBird或自行开发的统计软件包的繁殖鸟类调查;来自GenBank数据库的病毒序列或从当地分离株自行生成的病毒序列;以及当地气象参数和区域气候现象数据库,包括厄尔尼诺-南方涛动和印度洋偶极子。Eco 2 Health还将通过结合不同的统计/数学和基于机器学习的方法来生成预警系统和风险地图,以更好地了解和预测禽流感病毒在时间和空间上的传播动态。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries. The teams will establish transdisciplinary networks to develop innovative solutions for sustainable development pathways and seek to assess the positive and negative inter-linkages between the economy, technology, institutions with the environment, climate, biodiversity, and human well-being to understand potential pathways to a sustainable world.The project aims to develop and build a platform to help understand and predict the transmission dynamics of important zoonotic diseases at the interface of ecology, wildlife and humans. The platform will integrate various tiers of databases and analytical approaches developed by diverse research studies to a single platform, allowing better accessibility to different regions of the world to help monitor and control disease outbreaks. Eco2Health will specifically target avian influenza virus transmission in their platform development and will integrate several analytical tools from existing databases, including the following: a database generated by citizen scientist such as eBird or breeding bird survey with self-developed statistical package; a viral sequence from GenBank database or self-generated from local isolates; and local meteorological parameters and regional climate phenomenon database including El Nino-Southern Oscillation and Indian Ocean Dipole. Eco2Health will also generate an early warning system and risk map by combining different statistical/mathematical and machine-learning based approaches to better understand and predict transmission dynamics of avian influenza viruses over time and space.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Track-D: Data-Driven Disease Prevention and Control in Animal Health
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批准号:2134901
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项目类别:Cooperative Agreement
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资助金额:$499.06万
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财政年份:2021
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负责人:Beatriz Martinez Lopez
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依托单位:
NSF Convergence Accelerator - Track D: Data-Driven Disease Control and Prevention in Veterinary Health
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批准号:2040680
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项目类别:Standard Grant
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资助金额:$94.49万
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财政年份:2020
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负责人:Beatriz Martinez Lopez
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依托单位:
BIGDATA: IA: A multi-level approach for global optimization of the surveillance and control of infectious disease in the swine industry
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批准号:1838207
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项目类别:Standard Grant
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资助金额:$160.0万
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财政年份:2019
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负责人:Beatriz Martinez Lopez
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依托单位:
海外基金