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Spillover of Ebola and other filoviruses at ecological boundaries

埃博拉和其他丝状病毒在生态边界的溢出

基本信息

批准号：
10624875
负责人：
Patrick Stephens
金额：
$ 42.03万
依托单位：
OKLAHOMA STATE UNIVERSITY STILLWATER
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-17 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10624875
关键词：
Acceleration Affect Africa Agriculture Animals Biodiversity Biohazardous Substance Brucellosis Cessation of life Characteristics Communicable Diseases Communities Data Set Databases Dimensions Discipline Disease Disease Outbreaks Ebola Ebola virus Economic Conditions Economics Epidemic Filovirus Goals Gorilla gorilla Guinea Habitats Health Health system Human Human Activities Individual Investments Laws Malaria Maps Marburgvirus Methods Modeling Pattern Phylogenetic Analysis Physiological Processes Population Predisposition Process Research Research Personnel Resources Risk Socioeconomic Factors Source Statistical Models System Testing Theoretical model Time Variant Vector-transmitted infectious disease Virus Weather West Nile virus Work Zoonoses anthropogenesis computerized tools contagion disease transmission human subject insight iterative design land conversion large scale data mathematical model mortality outbreak prediction pathogen pathogen spillover social socioeconomics spillover event theories tool transmission process zoonotic spillover

项目摘要

More than half of all infectious disease outbreaks across the globe are zoonotic, involving pathogen spillover from animal reservoirs to humans. Ebola and other filoviruses rank among the most deadly zoonoses. Recent large outbreaks with mortality in the thousands both in humans and wildlife underscore the pressing need to better understand the factors promoting filovirus spillover. Although spillover is commonly defined as a pathogen crossing species boundaries, there are relatively few empirical studies or modeling frameworks that explicitly consider ecological boundaries across which spillover occurs. Crossing ecological boundaries involves processes that occur at many levels of organization: physiological processes at the individual level, interspecies interactions between individuals at the population level, interactions between populations of different species at the community level, and interactions between ecological communities within landscapes. Processes accelerating spillover often involve human activities such as habitat encroachment and land conversion, which are themselves ultimately driven by socioeconomic factors. In the context of Ebola and other filoviruses in Africa, we will develop the data sets, theoretical models and statistical tools needed for a general descriptive and predictive framework for spillover at ecological boundaries. Our project will follow an iterative design where results from mechanistic models are used to refine patterns that we test for empirically, and statistical models of large-scale data allow us to more realistically parameterize mechanistic models. Our work will test the generality of specific theories that so far have been applied only to a limited number of study systems. For example, ours will be among the first attempts to test the influence of Schmalhausen’s law -- an evolutionary theory that may explain the tendency for large outbreaks to occur at the edges of species ranges or during unusual weather conditions and which to date has primarily been investigated in the context of malaria -- in pathogens that rely on direct transmission. This work will demonstrate how new methods can provide unifying insight into patterns in critically important disease transmission systems and will enhance our ability to predict spillover of both filoviruses and many other zoonotic pathogens. Note that no human subjects, biohazards, or select agents will be involved in this project.

全球超过一半的传染病爆发是人畜共患的，涉及病原体从动物宿主传播到人类。埃博拉病毒和其他丝状病毒属于最致命的人畜共患病。最近的大规模疫情爆发导致人类和野生动物死亡数千人，这凸显了迫切需要更好地了解促进丝状病毒溢出的因素。尽管溢出通常被定义为跨越物种边界的病原体，但明确考虑溢出发生的生态边界的实证研究或建模框架相对较少。跨越生态边界涉及在组织的许多层面上发生的过程：个体层面的生理过程、种群层面个体之间的种间相互作用、群落层面不同物种种群之间的相互作用以及景观内生态群落之间的相互作用。加速溢出的过程通常涉及人类活动，例如栖息地侵占和土地转变，这些活动本身最终是由社会经济因素驱动的。在非洲埃博拉和其他丝状病毒的背景下，我们将开发生态边界溢出的一般描述和预测框架所需的数据集、理论模型和统计工具。我们的项目将遵循迭代设计，其中机械模型的结果用于细化我们凭经验测试的模式，而大规模数据的统计模型使我们能够更现实地参数化机械模型。我们的工作将测试迄今为止仅应用于有限数量的研究系统的特定理论的普遍性。例如，我们将是测试施马尔豪森定律对依赖直接传播的病原体的影响的首批尝试之一。施马尔豪森定律是一种进化理论，可以解释在物种范围边缘或异常天气条件下发生大规模疫情的趋势，迄今为止主要在疟疾的背景下进行了研究。这项工作将展示新方法如何能够提供对极其重要的疾病传播系统模式的统一见解，并将增强我们预测丝状病毒和许多其他人畜共患病原体溢出的能力。请注意，该项目不会涉及任何人类受试者、生物危害或选定的代理人。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Drivers of African Filovirus (Ebola and Marburg) Outbreaks.

非洲丝状病毒（埃博拉病毒和马尔堡病毒）爆发的驱动因素。

DOI：
10.1089/vbz.2022.0020
发表时间：
2022
期刊：
Vector borne and zoonotic diseases (Larchmont, N.Y.)
影响因子：
0
作者：
Stephens,PatrickR;Sundaram,Mekala;Ferreira,Susana;Gottdenker,Nicole;Nipa,KanizFatema;Schatz,AnnakateM;Schmidt,JohnPaul;Drake,JohnM
通讯作者：
Drake,JohnM

Footprint of war: integrating armed conflicts in disease ecology.

DOI：
10.1016/j.pt.2023.01.007
发表时间：
2023-04
期刊：
TRENDS IN PARASITOLOGY
影响因子：
9.6
作者：
Sundaram, Mekala;Filion, Antoine;Akaribo, Benedicta E.;Stephens, Patrick R.
通讯作者：
Stephens, Patrick R.

Characteristics of the 100 largest modern zoonotic disease outbreaks.

DOI：
10.1098/rstb.2020.0535
发表时间：
2021-11-08
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
0
作者：
Stephens PR;Gottdenker N;Schatz AM;Schmidt JP;Drake JM
通讯作者：
Drake JM

Traits, phylogeny and host cell receptors predict Ebolavirus host status among African mammals.