[HTML][HTML] Modelling the transmission of healthcare associated infections: a systematic review
Background Dynamic transmission models are increasingly being used to improve our
understanding of the epidemiology of healthcare-associated infections (HCAI). However …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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; …
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 …
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
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 …
underlines the urgency of optimizing the use of available drugs to minimize disease burden …