Socioeconomic and Epidemiological Drivers of Pathogen Dynamics in Wildlife Trade Networks

野生动物贸易网络中病原体动态的社会经济和流行病学驱动因素

基本信息

项目摘要

The wildlife trade industry involves an estimated 2.5M live animals, valued $300B USD, moving among 180 nations per year. This represents a key pathway for the evolution, emergence, and spread of novel pathogens. Zoonotic and wildlife pathogens (e.g., SARS-CoV-2 and chytrid fungi, respectively) have cost global economies trillions of dollars, led to substantial human life and biodiversity loss, and been linked to wildlife trade. Managing disease in live animal trade networks presents distinctive challenges. Various socioeconomic factors can influence the decisions businesses make about the species they trade and the biosecurity practices they use, which in turn can influence the prevalence, persistence, and spread of pathogens. Therefore, animal trade networks represent a bidirectionally coupled system between pathogen-host ecology and decisions made by business, consumer, and government stakeholders. This project will provide training opportunities for students and post-docs. The overarching goal of this project is to identify how socioeconomic decisions made by stakeholders drive pathogen dynamics in a wildlife trade network and use this information to identify disease mitigation strategies that are economically viable and minimize spillover risk (i.e., pathogen transmission from captive to wild populations). This project is partnering with the U.S. wildlife trade industry and government stakeholders, and will facilitate discussions among them to identify strategies that promote clean trade, while considering socioeconomic impacts on the industry. The project uses a combination of socioeconomic surveys, facilitated discussions, pathogen surveillance, and controlled experiments to build a series of predictive models that can be used to guide policy decisions in wildlife trade and prevent the next global pandemic.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.
野生动物贸易行业估计涉及250万头活体动物,价值3000亿美元,每年在180个国家之间流动。这是新病原体进化、出现和传播的关键途径。人畜共患和野生动物病原体(例如分别为SARS-CoV-2和壶菌)已给全球经济造成数万亿美元的损失,导致大量人类生命和生物多样性丧失,并与野生动物贸易有关。在活畜贸易网络中管理疾病提出了独特的挑战。各种社会经济因素可以影响企业对其交易的物种和使用的生物安全措施的决策,这反过来又可以影响病原体的流行、持续和传播。因此,动物贸易网络代表了病原体-宿主生态与企业、消费者和政府利益相关者的决策之间的双向耦合系统。本项目将为学生和博士后提供培训机会。本项目的总体目标是确定利益攸关方作出的社会经济决策如何推动野生动物贸易网络中的病原体动态,并利用这些信息确定经济上可行并最大限度减少溢出风险(即病原体从圈养种群向野生种群传播)的疾病缓解战略。该项目正在与美国野生动物贸易行业和政府利益相关者合作,并将促进他们之间的讨论,以确定促进清洁贸易的战略,同时考虑对该行业的社会经济影响。该项目结合了社会经济调查、促进讨论、病原体监测和对照实验,建立了一系列预测模型,可用于指导野生动物贸易的政策决策,防止下一次全球大流行。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。

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)
Exploring business stakeholder engagement in sustainable business practices: Evidence from the US pet amphibian industry
  • DOI:
    10.1002/bse.3455
  • 发表时间:
    2023-06-01
  • 期刊:
  • 影响因子:
    13.4
  • 作者:
    Cavasos, Kevin;Poudyal, Neelam. C. C.;Gray, Matthew. J. J.
  • 通讯作者:
    Gray, Matthew. J. J.
Natural area visitors’ willingness to pay for amphibian conservation in a global biodiversity hotspot
自然区域游客愿意为全球生物多样性热点地区的两栖动物保护付费
  • DOI:
    10.1016/j.jnc.2023.126499
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Cavasos, Kevin;Adhikari, Ram K.;Poudyal, Neelam C.;Warwick, Alexa R.;Gray, Matthew J.
  • 通讯作者:
    Gray, Matthew J.
Attitudes and Behavioral Intentions of Pet Amphibian Owners About Biosecurity Practices
  • DOI:
    10.1007/s10393-023-01645-8
  • 发表时间:
    2023-07-24
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Cavasos, Kevin;Poudyal, Neelam C. C.;Gray, Matthew J. J.
  • 通讯作者:
    Gray, Matthew J. J.
The Rising Tide of Herpetological Disease Science and Management
爬行动物疾病科学与管理的兴起
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Olson, D. H.;Gray, M. J.;Pasmans, F.;Grayfer, L.;Wilber, M. Q.;Carter, E. D.;Cunningham, A. A.
  • 通讯作者:
    Cunningham, A. A.
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Matthew Gray其他文献

Early Environmental Influences Can Attenuate the Blood Pressure Response to Acute Stress in Borderline Hypertensive Rats
早期环境影响可以减弱边缘性高血压大鼠对急性应激的血压反应
  • DOI:
    10.1016/s0031-9384(96)00530-6
  • 发表时间:
    1997
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    B. Sanders;Matthew Gray
  • 通讯作者:
    Matthew Gray
Treatment recommendations based on fracture risk status are not consistently provided in osteoporosis guidelines
骨质疏松症指南中并未一致提供基于骨折风险状态的治疗建议
  • DOI:
    10.1007/s00296-018-4181-3
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    4
  • 作者:
    J. Sale;Matthew Gray;Daniel Mancuso;T. Inrig;G. Boire;M. Beaulieu;L. Funnell;E. Bogoch
  • 通讯作者:
    E. Bogoch
The involvement of frontally modulated attention in hypnosis and hypnotic susceptibility: cortical evoked potential evidence
额叶调节注意力在催眠和催眠敏感性中的参与:皮质诱发潜在证据
  • DOI:
  • 发表时间:
    2002
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Gruzelier;Matthew Gray;P. Horn
  • 通讯作者:
    P. Horn
The role of explanatory style and negative life events in depression: a cross-sectional study with youth from a North American plains reservation.
解释风格和消极生活事件在抑郁症中的作用:一项针对北美平原保留地年轻人的横断面研究。
Carbanionen‐vermittelte Heterocyclisierungen: allgemeiner und regiospezifischer Zugang zu Dibenzo[b, e]phosphininonen durch Synthese‐Äquivalente der anionischen Friedel‐Crafts‐ und der entfernten Fries‐Umlagerung
Carbanionen-vermittelte Heterocyclisierungen: Allgemeiner und regiospezifischer Zugang zu DiBenzo[b, e]phosphininonen durch Synthese-Equivalente der anionischen Friedel-Crafts- und der entfernten Fries-Umlagerung
  • DOI:
    10.1002/ange.19961081317
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew Gray;Brian J. Chapell;Nicholas J. Taylor;V. Snieckus
  • 通讯作者:
    V. Snieckus

Matthew Gray的其他文献

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{{ truncateString('Matthew Gray', 18)}}的其他基金

Transmission pathways and immunological factors driving invasion potential of the recently discovered pathogen, Batrachochytrium salamandrivorans
驱动最近发现的病原体 Batrachochytrium salamdrivorans 入侵潜力的传播途径和免疫因素
  • 批准号:
    1814520
  • 财政年份:
    2018
  • 资助金额:
    $ 275.56万
  • 项目类别:
    Continuing Grant

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Building an epidemiological modelling toolkit for epidemic preparedness
构建流行病学建模工具包以做好流行病防范
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EAGER: IMPRESS-U: Modeling and Forecasting of Infection Spread in War and Post War Settings Using Epidemiological, Behavioral and Genomic Surveillance Data
EAGER:IMPRESS-U:使用流行病学、行为和基因组监测数据对战争和战后环境中的感染传播进行建模和预测
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