Levin B R, Lipsitch M, Perrot V, Schrag S, Antia R, Simonsen L, Walker N M, Stewart F M
Department of Biology, Emory University, Atlanta, Georgia 30322, USA.
Clin Infect Dis. 1997 Jan;24 Suppl 1:S9-16. doi: 10.1093/clinids/24.supplement_1.s9.
Mathematical models are used to ascertain the relationship between the incidence of antibiotic treatment and the frequency of resistant bacteria in the commensal flora of human hosts, as well as the rates at which these frequencies would decline following a cessation of antibiotic use. Recent studies of the population biology of plasmid-encoded and chromosomal antibiotic resistance are reviewed for estimates of the parameters of these models and to evaluate other factors contributing to the fate of antibiotic-resistant bacteria in human hosts. The implications of these theoretical and empirical results to the future of antibacterial chemotherapy are discussed.
数学模型用于确定抗生素治疗发生率与人类宿主共生菌群中耐药菌频率之间的关系，以及停止使用抗生素后这些频率下降的速率。本文综述了近期关于质粒编码和染色体抗生素耐药性群体生物学的研究，以估计这些模型的参数，并评估影响人类宿主中抗生素耐药菌命运的其他因素。讨论了这些理论和实证结果对抗菌化疗未来的影响。
