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Impact of Mobility on Methicillin-Resistant Staphylococcus aureus among Injection Drug Users

机译:迁移率对注射药使用者中甲氧西林耐金黄色葡萄球菌的影响

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In this study, we develop and present a deterministic model for the transmission dynamics of methicillin-resistant staphylococcus aureus (MRSA) among injection drug users. The model consists of non-injection drug users as well as low-and high-risk injection drug users (IDUs). The model further incorporates the movement of these individuals between large metro, suburban and rural areas. The model parameters were estimated by fitting the model to the 2008–2013 disease prevalence data for non-IDUs obtained from the Agency for Healthcare and Research and Quality (AHRQ), as well as the 2009–2013 Census Bureau data for the number of individuals migrating between three different counties in Kansas. Sensitivity analysis was implemented to determine the parameters with the most significant impact on the total number of infected individuals; the transmission probability, recovery rates, and positive behavioral change parameter for the subgroup have the most significant effect on the number of infected individuals. Furthermore, the sensitivity of the parameters in the different areas was the same when the areas are disconnected. When the areas are connected, the parameters in large-metro areas were the most sensitive, and the rural areas were least sensitive. The result shows that to effectively control the disease across the large metro, suburban and rural areas, it is best to focus on controlling both behavior and disease in the large metro area as this has a trickle-down effect to the other places. However, controlling behavior and disease at the same time in all the areas will lead to the elimination of the disease.
机译:在这项研究中,我们在注射药物中制定并呈现了甲氧西林抗葡萄球菌(MRSA)的传动动力学的确定性模型。该模型由非注射药物用户以及低和高风险注射药物(IDU)组成。该模型还融入了大地铁,郊区和农村地区之间这些人的运动。通过将模型拟合到2008-2013疾病流行数据的模型估计了模型参数,用于从原子能机构获得医疗保健和研究和质量(AHRQ),以及2009-2013人口普查局数据的个人数量在堪萨斯州的三个不同县之间迁移。实施敏感性分析以确定对受感染个体总数影响最大的参数;亚组的传输概率,恢复率和阳性行为改变参数对受感染的个体的数量产生最显着的影响。此外,当区域断开时,不同区域中的参数的敏感性是相同的。当连接区域时,大地铁地区的参数是最敏感的,农村地区最不敏感。结果表明,为了有效控制跨越地铁,郊区和农村地区的疾病,最好关注控制大型地铁区域的行为和疾病,因为这对另一个地方有涓滴效果。然而,在所有领域的同时控制行为和疾病将导致消除疾病。

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