[HTML][HTML] Modelling the transmission of healthcare associated infections: a systematic review

E van Kleef, JV Robotham, M Jit, SR Deeny… - BMC infectious …, 2013 - Springer
Background Dynamic transmission models are increasingly being used to improve our
understanding of the epidemiology of healthcare-associated infections (HCAI). However …

Recurrent uncomplicated urinary tract infections in women: AUA/CUA/SUFU guideline

J Anger, U Lee, AL Ackerman, R Chou… - The Journal of …, 2019 - auajournals.org
Purpose: This document seeks to establish guidance for the evaluation and management of
women with recurrent urinary tract infections (rUTI) to prevent inappropriate use of …

A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization

IH Spicknall, B Foxman, CF Marrs… - American journal of …, 2013 - academic.oup.com
Antibiotic-resistant infections complicate treatment and increase morbidity and mortality.
Mathematical modeling has played an integral role in improving our understanding of …

Comparing treatment strategies to reduce antibiotic resistance in an in vitro epidemiological setting

DC Angst, B Tepekule, L Sun… - Proceedings of the …, 2021 - National Acad Sciences
The rapid rise of antibiotic resistance, combined with the increasing cost and difficulties to
develop new antibiotics, calls for treatment strategies that enable more sustainable antibiotic …

Evolutionary epidemiology models to predict the dynamics of antibiotic resistance

F Blanquart - Evolutionary applications, 2019 - Wiley Online Library
The evolution of resistance to antibiotics is a major public health problem and an example of
rapid adaptation under natural selection by antibiotics. The dynamics of antibiotic resistance …

[HTML][HTML] Adaptive landscape by environment interactions dictate evolutionary dynamics in models of drug resistance

CB Ogbunugafor, CS Wylie, I Diakite… - PLoS computational …, 2016 - journals.plos.org
The adaptive landscape analogy has found practical use in recent years, as many have
explored how their understanding can inform therapeutic strategies that subvert the …

[HTML][HTML] Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata

P Catalán, E Wood, JMA Blair, I Gudelj… - Nature …, 2022 - nature.com
Antibiotic resistance represents a growing medical concern where raw, clinical datasets are
under-exploited as a means to track the scale of the problem. We therefore sought patterns …

[HTML][HTML] Population-level mathematical modeling of antimicrobial resistance: a systematic review

AM Niewiadomska, B Jayabalasingham, JC Seidman… - BMC medicine, 2019 - Springer
Background Mathematical transmission models are increasingly used to guide public health
interventions for infectious diseases, particularly in the context of emerging pathogens; …

Antibiotic cycling and antibiotic mixing: which one best mitigates antibiotic resistance?

RE Beardmore, R Peña-Miller, F Gori… - Molecular biology and …, 2017 - academic.oup.com
Can we exploit our burgeoning understanding of molecular evolution to slow the progress of
drug resistance? One role of an infection clinician is exactly that: to foresee trajectories to …

[HTML][HTML] Cycling empirical antibiotic therapy in hospitals: meta-analysis and models

P Abel zur Wiesch, R Kouyos, S Abel… - PLoS …, 2014 - journals.plos.org
The rise of resistance together with the shortage of new broad-spectrum antibiotics
underlines the urgency of optimizing the use of available drugs to minimize disease burden …