Fresnadillo-Martínez M J, García-Sánchez E, García-Merino E, Martín-Del-Rey A, Rodríguez-Encinas A, Rodríguez-Sánchez G, García-Sánchez J E
Departamento de Medicina Preventiva, Salud Pública y Microbiología, Universidad de Salamanca.
Rev Esp Quimioter. 2012 Sep;25(3):172-9.
The antibiotic resistance is one of the greatest challenges of the international health community. The study of antibiotic resistance must be a multidisciplinary task and, in this sense, the main goal of this work is to analyze the role that Mathematical Modeling can play in this scenario. A qualitative and cuantitative analysis of the works published in the scientific literature is done by means of a search in the most important databases: MEDLINE, SCOPUS and ISI Web of Science. Consequently, there are few papers related to our topic but the existing works have been published in high-quality and impact international journals. Moreover, we can state that mathematical models are a very important and useful tool to analyze and study both the treatments protocols for resistance prevention and the assesment of control strategies in hospital environtment, or the prediction of the evolution of diseases due to resistant strains.
抗生素耐药性是国际卫生界面临的最大挑战之一。对抗生素耐药性的研究必须是一项多学科任务，从这个意义上说，这项工作的主要目标是分析数学建模在这种情况下可以发挥的作用。通过在最重要的数据库——医学文献数据库（MEDLINE）、科学网（SCOPUS）和科学引文索引（ISI）Web of Science中进行搜索，对科学文献中发表的著作进行了定性和定量分析。因此，与我们主题相关的论文很少，但现有著作已发表在高质量且有影响力的国际期刊上。此外，我们可以说，数学模型是分析和研究预防耐药性的治疗方案、评估医院环境中的控制策略或预测耐药菌株所致疾病演变的非常重要且有用的工具。
