Examining Policy Resistance and Infectious Diseases within Dynamic Network Condit

描述（由申请人提供）：在这个项目中，我们寻求更好地了解个人和机构之间的反馈过程，影响公共卫生政策对国际边境传染病的有效性。为了研究这些过程，我们将开发多层次系统模型，使用各种数据集对社会地理经济特征进行参数化。我们有四个具体目标：1）建立美墨边境人口麻疹免疫、传播和人口统计的动态模型：2）在模型中加入人类行为的计算描述，研究其对各种扰动的敏感性; 3）确定影响免疫行为的机构行为者之间的关系，并将制度直接纳入我们对人类行为的博弈论描述中; 4）以开源方式传播模型，发布研究结果和分析，并开发在线教程。从实践的角度来看，这项研究将展示国际边境的流动模式如何改变政策的实施，将有助于指导政策的改进，并将有助于告知公共卫生从业人员。通过与边境卫生部同事的互动，一个复杂社区系统的地图将有助于确定在高度不确定性和不断变化的背景下，对政策阻力条件和政策制定启发式工具的最简约解释。在方法论方面，开发的系统模型将提供新的分析工具，结合现有的工具与博弈论，网络分析和组织分析。公共卫生相关性：这项研究将有助于理解美国-墨西哥边境传染病的公共卫生管理。在科学上，我们将开发人，传染病和公共政策相互作用的系统模型，以帮助我们了解当前的公共卫生问题。这些模型将广泛传播，用于研究和应用。

DESCRIPTION (provided by applicant): In this project, we seek to better understand the feedback processes among individuals and institutions that influence the effectiveness of public health policy toward infectious diseases at international borders. To study these processes, we will develop multilayer system models, which will parameterize socio-geo-economic features using various data sets. We have four Specific Aims: 1) To construct dynamic models of the US- Mexico border population measles immunization, transmission, and demography; 2) to add computational descriptions of human behavior to our models and to study it's sensitivity to various perturbations; 3) to identify relationships among institutional actors influencing immunization behavior, and incorporate institutions directly into our game-theory descriptions of human behavior and 4) to disseminate the model as opensource, publish the research results and analysis, and develop an online tutorial. From a practical perspective, this research will show how mobility patterns at international borders alter policy implementation, will help direct policy improvements, and will help inform public health practitioners. Through interactions with colleagues at Border Health a map of a complex community system will contribute to identifying the most parsimonious explanation of conditions for policy resistance and heuristic tools for policy development in contexts of high uncertainty and constant change. In terms of methodology, the system models developed will provide new analysis tools by combining preexisting tools with game theory, network analysis, and organizational analysis. PUBLIC HEALTH RELEVANCE: This research will help make sense of public health management of infectious diseases at the US-Mexico border. Scientifically, we will develop systems models of the interactions of people, infectious disease, and public policy to help us understand current public health problems. These models will be disseminated broadly for use in research and applications.