Diogo Olavo Alves, Raupp de Vargas Eduardo, Wanke Peter Fernandes, Hadi-Vencheh Abdollah
Center for Health Care Studies/UFRJ/COPPEAD, Rua Paschoal Lemme 355, Rio de Janeiro 21941-918, Brazil.
Center for Studies in Logistics, Infrastructure, and Management/UFRJ/COPPEAD, Rua Paschoal Lemme 355, Rio de Janeiro 21941-918, Brazil.
Comput Methods Programs Biomed. 2021 Jun;205:106108. doi: 10.1016/j.cmpb.2021.106108. Epub 2021 Apr 10.
The aim of this study is to present a new methodology to explore a field of research and exercise this technique to find good mathematical models to solve the problem of territorial alignment applied to health services. For this purpose we show a methodology that combines three methods of analysis: social network analysis, longitudinal analysis, and mapping change analysis. In this paper, we applied the mapping change method, originally used in large networks, to small and medium ones, and used the Tabu search scheme instead of simulated annealing. Finally, to highlight the significant changes over time of keywords networks, an alluvial diagram is used to show the significance clusterings through the subperiods studied. The work reports on the most relevant authors on the subject and the most widely used mathematical models applied to solve the problem.
本研究的目的是提出一种新方法来探索一个研究领域，并运用该技术找到良好的数学模型，以解决应用于卫生服务的地域对齐问题。为此，我们展示了一种结合三种分析方法的方法：社会网络分析、纵向分析和映射变化分析。在本文中，我们将原本用于大型网络的映射变化方法应用于中小型网络，并使用禁忌搜索方案而非模拟退火。最后，为突出关键词网络随时间的显著变化，我们使用冲积图来展示所研究子时期内的显著聚类。该工作报告了该主题最相关的作者以及用于解决该问题的最广泛使用的数学模型。
