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Related papers: Does Antibiotic Resistance Evolve in Hospitals?

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Humans, domestic animals, orchard crops, and ornamental plants are commonly treated with antibiotics in response to bacterial infection. By curing infectious individuals, antibiotic therapy might limit the spread of contagious disease among…

Populations and Evolution · Quantitative Biology 2020-01-22 Thomas Caraco

Bacteria evolve resistance to antibiotics by a multitude of mechanisms. A central, yet unsolved question is how resistance evolution affects cell growth at different drug levels. Here we develop a fitness model that predicts growth rates of…

Populations and Evolution · Quantitative Biology 2020-07-03 Fernanda Pinheiro , Omar Warsi , Dan I. Andersson , Michael Lässig

Humans, domestic animals, orchard crops, and ornamental plants are commonly treated with antibiotics in response to bacterial infection. By curing infectious individuals, antibiotic therapy might limit the spread of contagious disease among…

Populations and Evolution · Quantitative Biology 2020-11-04 Thomas Caraco

Understanding how antibiotics inhibit bacteria can help to reduce antibiotic use and hence avoid antimicrobial resistance - yet few theoretical models exist for bacterial growth inhibition by a clinically relevant antibiotic treatment…

Cell Behavior · Quantitative Biology 2017-12-06 Philip Greulich , Jakub Dolezal , Matthew Scott , Martin R. Evans , Rosalind J. Allen

Antimicrobial resistance is an emerging global health crisis that is undermining advances in modern medicine and, if unmitigated, threatens to kill 10 million people per year worldwide by 2050. Research over the last decade has demonstrated…

Quantitative Methods · Quantitative Biology 2020-09-24 K. Farquhar , H. Flohr , D. A. Charlebois

In this paper we study a nonlinear reaction-diffusion system which models an infectious disease caused by bacteria such as those for cholera. One of the significant features in this model is that a certain portion of the recovered human…

Analysis of PDEs · Mathematics 2022-02-01 Hong-Ming Yin , Jun Zou

There is a pressing need to better understand how microbial populations respond to antimicrobial drugs, and to find mechanisms to possibly eradicate antimicrobial-resistant cells. The inactivation of antimicrobials by resistant microbes can…

Populations and Evolution · Quantitative Biology 2023-11-16 Lluís Hernández-Navarro , Matthew Asker , Alastair M. Rucklidge , Mauro Mobilia

Since penicillin was discovered about 90 years ago, we have become used to using drugs to eradicate unwanted pathogenic cells. However, using drugs to kill bacteria, viruses or cancer cells has the serious side effect of selecting for…

Populations and Evolution · Quantitative Biology 2017-08-02 Matti Gralka , Diana Fusco , Stephen Martis , Oskar Hallatschek

Purpose: Antimicrobial resistance is a major global health concern, affecting hospital admissions and treatment success. This study aims to introduce an experimental setup for monitoring bacterial activity over time using image-based…

Quantitative Methods · Quantitative Biology 2025-06-12 M. A. Gameiro , R. F. Pinto , N. V. Lopes

The body is home to a diverse microbiota, mainly in the gut. Resistant bacteria are selected for by antibiotic treatments, and once resistance becomes widespread in a population of hosts, antibiotics become useless. Here, we develop a…

Populations and Evolution · Quantitative Biology 2020-03-25 Florence Bansept , Loïc Marrec , Anne-Florence Bitbol , Claude Loverdo

Nutrient limitation is one of the most common triggers of antibiotic tolerance and persistence. Here, we present two microfluidic setups to study how spatial and temporal variation in nutrient availability lead to increased survival of…

Quantitative Methods · Quantitative Biology 2020-10-29 Stefany Moreno-Gámez , Alma Dal Co , Simon van Vliet , Martin Ackermann

Bacterial growth environment strongly influences the efficacy of antibiotic treatment, with slow growth often being associated with decreased susceptibility. Yet in many cases the connection between antibiotic susceptibility and pathogen…

Cell Behavior · Quantitative Biology 2015-05-06 Philip Greulich , Matthew Scott , Martin R. Evans , Rosalind J. Allen

The Antibiotic Resistance Microbiology Dataset (ARMD) is a de-identified resource derived from electronic health records (EHR) that facilitates research in antimicrobial resistance (AMR). ARMD encompasses big data from adult patients…

Antibiotic resistant bacteria are a serious threat to public health system. In order to be able to model the spread of this pathogens within healthcare system network, it is necessary to obtain information on patient movements and the…

Applications · Statistics 2022-06-16 M. J. Piotrowska , J. Rymuza , K. Sakowski

High-throughput molecular screening is required to investigate the origin and diffusion of antimicrobial resistance in pathogen outbreaks. The most frequent cause of human infection is Escherichia coli, which is dominated by sequence type…

Populations and Evolution · Quantitative Biology 2015-02-18 Tim Downing

Antibiotic resistance presents a growing global health threat by diminishing the effectiveness of treatments and allowing once-manageable bacterial infections to persist. This study develops and analyzes an optimization-based mathematical…

Populations and Evolution · Quantitative Biology 2025-09-23 Uzzwal Kumar Mallick , Jobayer Ahmed , Khan Anik Islam , Pulak Kundu

Antimicrobial protocols - using substances such as antibiotics or disinfectants - remain the preferred option for preventing the spread of pathogenic bacteria. However, bacteria can develop mechanisms to reduce their antimicrobial…

Populations and Evolution · Quantitative Biology 2026-02-17 Nerea Martínez-López , Niclas Nordholt , Frank Schreiber , Míriam R. García

It has long been known that antibiotic treatment will not completely kill off a bacteria population. For many species a small fraction of bacteria is not sensitive to antibiotics. These bacteria are said to persist. Recently it has been…

Probability · Mathematics 2012-03-29 Olivier Garet , Regine Marchand , Rinaldo B. Schinazi

An antibiogram is a periodic summary of antibiotic resistance results of organisms from infected patients to selected antimicrobial drugs. Antibiograms help clinicians to understand regional resistance rates and select appropriate…

Machine Learning · Computer Science 2023-05-04 Xingbo Fu , Chen Chen , Yushun Dong , Anil Vullikanti , Eili Klein , Gregory Madden , Jundong Li

Skin and soft tissue infections (SSTIs) are among the most frequently observed diseases in ambulatory and hospital settings. Resistance of diverse bacterial pathogens to antibiotics is a significant cause of severe SSTIs, and treatment…

Machine Learning · Computer Science 2022-03-01 Farnaz H. Foomani , Shahzad Mirza , Sahjid Mukhida , Kannuri Sriram , Zeyun Yu , Aayush Gupta , Sandeep Gopalakrishnan