Infrastructure for Predicting, Understanding, and Mitigating Zoonotic Disease Outbreaks

用于预测、了解和减轻人畜共患疾病爆发的基础设施

• 批准号: 2037937
• 负责人: Pamela Soltis
• 金额: $ 7.71万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2037937&HistoricalAwards=false
• 关键词: Infrastructure; Predicting; Understanding; Mitigating; Zoonotic

This award to the University of Florida supports a series of workshops that will catalyze collaborations around suites of data housed in natural history collections. The workshops will identify gaps in biodiversity and infectious disease data to address basic research and broader social issues pertinent to diseases that originate from other animals. An outcome of the workshops will be a strategy for framing an integrated agenda for transdisciplinary training and research. Products of the workshops will be broadly applicable for improving the community’s understanding of infectious diseases in general, achieved through the strengthening the cyberinfrastructure supporting and connecting the important data stored in natural history collections. The plan is to assemble a diverse group of participants that includes students and contributes to the preparation of the next generation of STEM researchers to sustain these conversations.The funded series of workshops will bring together representatives from natural history collections, biodiversity informatics, taxonomy, systematics, ecology, genetics, virology, pathobiology, infectious disease, epidemiology, social science, and communications. This transdisciplinary effort will establish a dialogue and frame an integrated research agenda for understanding, mitigating, and predicting emerging zoonotic disease. A primary aim of the activity is to unveil the potential role of natural history specimens in pathogen discovery and mitigation, resulting in new approaches to gather, share, and interpret data and knowledge for deployment in preventing, predicting, and responding to diseases of zoonotic origins (future pandemics). To achieve this, the project will identify gaps in biodiversity and pathobiology data connections, develop possible solutions to close these gaps and enable a more synthetic view of biodiversity and human health, establish a plan for framing an integrated research agenda, and develop a plan for interdisciplinary training and research.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.

该奖项授予佛罗里达大学，支持一系列研讨会，这些研讨会将促进围绕自然史收藏数据套件的合作。讲习班将查明生物多样性和传染病数据方面的差距，以解决与源自其他动物的疾病有关的基础研究和更广泛的社会问题。讲习班的一项成果将是为跨学科培训和研究制定综合议程的战略。工作坊的成果将广泛适用于提高社会对传染病的认识，透过加强支持和连接自然历史馆藏的重要数据的网络基础设施来实现。该计划是召集一个包括学生在内的多元化参与者群体，为下一代STEM研究人员的准备做出贡献，以维持这些对话。该系列研讨会将汇集来自自然史收藏、生物多样性信息学、分类学、系统学、生态学、遗传学、病毒学、病理生物学、传染病学、流行病学、社会科学和传播学的代表。这一跨学科的努力将建立对话，并为理解、减轻和预测新出现的人畜共患疾病制定一个综合研究议程。该活动的一个主要目的是揭示自然历史标本在发现和减轻病原体方面的潜在作用，从而形成收集、分享和解释数据和知识的新方法，以便用于预防、预测和应对人畜共患疾病（未来的大流行病）。为此，该项目将查明生物多样性和病理生物学数据联系方面的差距，制定可能的解决办法，以缩小这些差距，使人们能够更综合地看待生物多样性和人类健康，制定制定综合研究议程的计划，并制定跨学科培训和研究计划。该奖项反映了美国国家科学基金会的法定使命，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。