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.

佛罗里达大学的这一奖项支持一系列研讨会，这些研讨会将促进围绕自然历史收藏中的数据套件的合作。这些研讨会将确定生物多样性和传染病数据的差距，以解决与疾病起源相关的基础研究和更广泛的社会问题。研讨会的成果将是制定跨学科培训和研究综合议程的战略，研讨会的产品将广泛适用于提高社区对传染病的总体了解，这是通过加强网络基础设施支持来实现的。并连接该计划旨在聚集包括学生在内的多元化参与者，为下一代 STEM 研究人员做好准备，以维持这些对话。受资助的系列研讨会将汇集来自自然历史的代表。这项跨学科的工作将建立对话并制定综合研究议程，以促进历史收藏、生物多样性信息学、分类学、系统学、生态学、遗传学、病毒学、病理学、传染病、流行病学、社会科学和传播学。减轻和预测新出现的人畜共患疾病该活动的主要目的是揭示自然历史标本在病原体发现和减轻中的潜在作用，从而形成收集、共享和解释数据和知识以用于预防和预测的新方法。 ，并应对人畜共患疾病（未来的流行病）。为了实现这一目标，该项目将确定生物多样性和病理学数据连接方面的差距，制定可能的解决方案来弥补这些差距，并建立对生物多样性和人类健康的更综合的看法。计划制定综合研究议程，并制定跨学科培训和研究计划。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。