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首页> 外文期刊>Frontiers in Public Health >Scientific Collaborations: How Do We Measure the Return on Relationships?
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Scientific Collaborations: How Do We Measure the Return on Relationships?

机译：科学合作：我们如何衡量关系的回报？

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Emerging infectious diseases (EIDs), the majority of which are zoonotic, represent a tremendous challenge for public health and biosurveillance infrastructure across the globe. Due to the complexity of zoonotic pathogens, it is essential that research and response to EIDs be a transdisciplinary effort. And while crisis and circumstance may be the initial catalyst for responding to an outbreak, we provide examples of how transdisciplinary scientific collectives, which are organized and solidified in advance of crises, can transform the way the world responds to outbreaks and in some cases could even prevent one from occurring (1). Current methods for assessing whether a cooperative engagement between countries is producing measurable and sustainable value is based on the ideas of return on investment and do not consider the inherent importance of relationships. In this article, we apply the idea of return on relationships (ROR) and propose a method for measuring ROR, using a system dynamics modeling framework commonly used in epidemiology. Tracking the numerous and diverse scientific collaborations that emerged from a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes that result. Additionally, the collaborative, multidisciplinary network that coalesced in response to the Hantavirus outbreak in New Mexico is 1993 is discussed as an example of the long-term benefits of ROR.
机译：新兴传染病（EID）（其中大多数是人畜共患病）对全球公共卫生和生物监视基础设施构成了巨大挑战。由于人畜共患病原体的复杂性，至关重要的是，对EID的研究和响应必须是跨学科的。尽管危机和情况可能是应对疫情的最初催化剂，但我们提供了一些示例，说明在危机发生之前组织和巩固的跨学科科学团体如何改变世界应对疫情的方式，甚至在某些情况下甚至可以防止发生（1）。当前评估国家之间的合作参与是否正在产生可衡量的和可持续的价值的方法是基于投资回报率的思想，而不考虑关系的内在重要性。在本文中，我们将应用关系回报率（ROR）的概念，并提出一种使用流行病学中常用的系统动力学建模框架来衡量ROR的方法。跟踪2014年在新加坡举行的蝙蝠生物监视培训研讨会上出现的众多多样的科学合作，我们采用了一种可视化和衡量关系网络和结果的方法。此外，作为ROR长期利益的一个例子，讨论了在1993年针对新墨西哥州汉塔病毒爆发而合并的协作性多学科网络。

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