Determining the dynamic influence of social networks on development and health trajectories

 描述（由申请人提供）：治疗和预防疾病以及改善人类健康的能力不仅需要详细了解导致疾病过程的生物系统的复杂相互作用，还需要详细了解社会复杂性对生物系统影响的机制。发展系统科学的方法提供了独特的方法，适合于阐明社会系统影响健康的机制，通过调查其对调节生物系统在发展过程中的相互作用的影响。拟议的研究采用这种方法，随着时间的推移，在一个完善的非人类灵长类动物模型的多级网络系统建模。我们预测，个体内部生物系统的协调和调节对塑造健康至关重要 轨迹，并由个人社会关系的复杂网络结构动态调节。

 DESCRIPTION (provided by applicant): The ability to treat and prevent illness and improve human health requires not only a detailed understanding of the complex interplay of biological systems contributing to disease processes but also the mechanisms underlying the influence of social complexity on biological systems. A developmental systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health by investigating their effects on modulating the interplay among biological systems during development. The proposed research adopts this approach by modeling multi-level networked systems over time in a well-established nonhuman primate model. We predict that the coordination and regulation of biological systems within individuals are critical to shaping health trajectories and are dynamically modulated by the complex network structure of individuals' social relationships.