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Related papers: The Methicillin-Resistant Staphylococcus Aureus In…

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Methicillin-resistant Staphylococcus aureus (MRSA) is a significant contributor to the growing concern of antibiotic resistant bacteria, especially given its stubborn persistence in hospitals and other health care facility settings. In…

Populations and Evolution · Quantitative Biology 2019-11-19 Cole Butler , Jinjin Cheng , Lorena Correa , Maria Preciado-Rivas , Andres Rios-Gutierrez , Cesar Montalvo , Christopher Kribs

Methicillin-resistant Staphylococcus aureus (MRSA) is a difficult-to-treat infection that only in the European Union affects about 150,000 patients and causes extra costs of 380 million Euros annually to the health-care systems. Increasing…

Populations and Evolution · Quantitative Biology 2021-07-07 Luis E C Rocha , Vikramjit Singh , Markus Esch , Tom Lenaerts , Mikael Stenhem , Fredrik Liljeros , Anna Thorson

Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that leads to severe infections in hospitalized patients. Previous epidemiological research has focused on MRSA transmission, but few studies have examined the influence of…

Applications · Statistics 2025-11-11 Ruoyu Li , Rob Deardon , Na Li , John Conly , Jenine Leal

Indoor skin-contact surfaces of public fitness centers may serve as reservoirs of potential human transmission of methicillin-resistant Staphylococcus aureus (MRSA). We found a high prevalence of multi-drug resistant (MDR)-MRSA of CC59…

Genomics · Quantitative Biology 2016-06-28 Nabanita Mukherjee , Irshad M. Sulaiman , Pratik Banerjee

Staphylococcus aureus responsible for nosocomial infections is a significant threat to the public health. The increasing resistance of S.aureus to various antibiotics has drawn it to a prime focus for research on designing an appropriate…

Tissues and Organs · Quantitative Biology 2018-01-16 Kiran Vishwasrao , Arjumanara Surti , S. Radha

Methicillin-resistant Staphylococcus aureus (MRSA) is a critical public health threat within hospitals as well as long-term care facilities. Better understanding of MRSA risks, evaluation of interventions and forecasting MRSA rates are…

Machine Learning · Computer Science 2025-08-20 Rituparna Datta , Jiaming Cui , Gregory R. Madden , Anil Vullikanti

The US Centers for Disease Control and Prevention (CDC), in 2019, designated Methicillin-resistant Staphylococcus aureus (MRSA) as a serious antimicrobial resistance threat. The risk of acquiring MRSA and suffering life-threatening…

Bacterial infections are responsible for high mortality worldwide. Antimicrobial resistance underlying the infection, and multifaceted patient's clinical status can hamper the correct choice of antibiotic treatment. Randomized clinical…

Machine Learning · Statistics 2022-07-18 Inyoung Jun , Simone Marini , Christina A. Boucher , J. Glenn Morris , Jiang Bian , Mattia Prosperi

Background: Community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA), a novel strain of MRSA, has recently emerged and rapidly spread in the community. Invasion into the hospital setting with replacement of the…

Populations and Evolution · Quantitative Biology 2009-06-19 Erika M. C. D'Agata , Glenn F. Webb , Joanna Pressley

Healthcare-associated infections (HAIs) remain a public health problem. Previous work showed intensive care unit (ICU) population structure impacts methicillin-resistant Staphylococcus aureus (MRSA) rates. Unexplored in that work was the…

Populations and Evolution · Quantitative Biology 2019-09-27 Christopher T. Short , Matthew S. Mietchen , Eric T. Lofgren

Antimicrobial resistance (AMR) poses a significant threat to public health by increasing mortality, extending hospital stays, and increasing healthcare costs. It affects people of all ages and affects health services, veterinary medicine,…

Dynamical Systems · Mathematics 2023-06-12 Alissen Peterson , Jhoana P. Romero-Leiton , Pablo Aguirre , Kamal R. Acharya , Bouchra Nasri

While the mechanisms and quantitative details are complex, few analysts would doubt that antibiotic use increases the prevalence of drug-resistant bacterial pathogens among all bacteria causing disease in a population. The causal connection…

Populations and Evolution · Quantitative Biology 2018-03-21 Edward Goldstein , Derek R. MacFadden , Marc Lipsitch

Some microbial organisms are known to randomly slip into and out of hibernation, irrespective of environmental conditions [1]. In a (genetically) uniform population a typically very small subpopulation becomes metabolically inactive whereas…

Other Quantitative Biology · Quantitative Biology 2010-07-13 Ole Steuernagel , Daniel Polani

Nosocomial pathogens such as Methicillin-Resistant {\em Staphylococcus aureus} (MRSA) and Vancomycin-resistant {\em Enterococci} (VRE) are the cause of significant morbidity and mortality among hospital patients. It is important to be able…

Antimicrobial resistance (AMR) is a growing public health threat, estimated to cause over 10 million deaths per year and cost the global economy 100 trillion USD by 2050 under status quo projections. These losses would mainly result from an…

Yet in spite of advances in hospital treatment, hospitals continue to be a breeding ground for several airborne diseases and for diseases that are transmitted through close contacts like SARS, methicillin-resistant Staphylococcus aureus…

Other Quantitative Biology · Quantitative Biology 2007-11-06 Fredrik Liljeros , Petter Holme , Johan Giesecke

Antibiotics are the wonder discoveries to combat microbes. For decades, multiple varieties of antibiotics have been used for therapeutic purposes in hospital settings and communities throughout the world. Unfortunately, bacteria have become…

Other Quantitative Biology · Quantitative Biology 2019-08-13 Fazlul MKK , Shah Samiur Rashid , Nazmul MHM , Zaidul I. S. M , Roesnita Baharudin , Aizi Nor Mazila Ramli

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

Antimicrobial resistance (AMR) is a risk for patients and a burden for the healthcare system. However, AMR assays typically take several days. This study develops predictive models for AMR based on easily available clinical and…

Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern medicines ineffective. AMR arises from antibiotic production and bacterial evolution, but quantifying its transmission remains difficult. With…

Machine Learning · Computer Science 2025-02-04 Qian Fu , Yuzhe Zhang , Yanfeng Shu , Ming Ding , Lina Yao , Chen Wang
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