TY - JOUR AU - Knight, Gwenan M. AU - Davies, Nicholas G. AU - Colijn, Caroline AU - Coll, Francesc AU - Donker, Tjibbe AU - Gifford, Danna R. AU - Glover, Rebecca E. AU - Jit, Mark AU - Klemm, Elizabeth AU - Lehtinen, Sonja AU - Lindsay, Jodi A. AU - Lipsitch, Marc AU - Llewelyn, Martin J. AU - Mateus, Ana L. P. AU - Robotham, Julie V. AU - Sharland, Mike AU - Stekel, Dov AU - Yakob, Laith AU - Atkins, Katherine E. PY - 2019 DA - 2019/11/29 TI - Mathematical modelling for antibiotic resistance control policy: do we know enough? JO - BMC Infectious Diseases SP - 1011 VL - 19 IS - 1 AB - Antibiotics remain the cornerstone of modern medicine. Yet there exists an inherent dilemma in their use: we are able to prevent harm by administering antibiotic treatment as necessary to both humans and animals, but we must be mindful of limiting the spread of resistance and safeguarding the efficacy of antibiotics for current and future generations. Policies that strike the right balance must be informed by a transparent rationale that relies on a robust evidence base. SN - 1471-2334 UR - https://doi.org/10.1186/s12879-019-4630-y DO - 10.1186/s12879-019-4630-y ID - Knight2019 ER -