Sangachin Mahboobeh Ghesmaty, Samadi Mohammadreza, Cavuoto Lora A
Department of Industrial and Systems Engineering, University at Buffalo, Buffalo, NY, USA.
J Healthc Eng. 2014;5(3):293-312. doi: 10.1260/2040-2295.5.3.293.
With the growing prevalence of obesity and the public health implications, it is critical to develop and evaluate potential interventions. One approach is to investigate the spread of positive health outcomes through a social network. We employ the ground concepts of spread maximization problem and adapt it to best reflect the dynamics of a weight loss intervention. A diffusion model is then employed for the propagation of weight loss effect throughout the network of obese and overweight individuals. This diffusion model integrates both personal attributes and network-related attributes of an individual while engaged in a weight loss program. Simulation findings suggest that choosing initial agents based on individual attributes, including ability to lose weight, body mass index, and threshold, produced the highest total weight loss in the network. Greedy algorithm was also applied to choose the most effective subset of initial seeds.
随着肥胖患病率的不断上升及其对公共健康的影响，开发和评估潜在干预措施至关重要。一种方法是通过社交网络研究积极健康结果的传播。我们采用传播最大化问题的基本概念，并对其进行调整以最好地反映减肥干预的动态过程。然后使用扩散模型在肥胖和超重个体网络中传播减肥效果。该扩散模型在个体参与减肥计划时整合了个人属性和与网络相关的属性。模拟结果表明，根据个人属性（包括减肥能力、体重指数和阈值）选择初始个体，可使网络中的总体减肥效果最佳。还应用贪婪算法选择最有效的初始种子子集。
