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Changing dynamics of bloodstream infections due to methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecium in Germany, 2017-2023: a continued burden of disease approach.
Antimicrob Resist Infect Control
January 2025
Unit 37: Healthcare-Associated Infections, Surveillance of Antibiotic Resistance and Consumption, Department of Infectious Disease Epidemiology, Robert Koch Institute, Seestraße 10, 13353, Berlin, Germany.
Background: Antimicrobial resistance is a global threat to public health, with methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus faecium (VREfm) being major contributors. Despite their clinical impact, comprehensive assessments of changes of the burden of bloodstream infections in terms of Disability-Adjusted Life Years (DALYs) and attributable deaths over time are lacking, particularly in Germany.
Methods: We used data from the Antimicrobial Resistance Surveillance system, which covered about 30% of German hospitals.
The impact of air pollution on career changes among Chinese workers.
Sci Rep
January 2025
School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, 611130, China.
The influence exerted by air pollution on interregional workforce migration has garnered considerable attention in ecological economics over time; however, relatively scant consideration has been given to its effects on occupational transition dynamics. This study presents an empirical examination of the influence of air pollution on job changes among the working population and seeks to understand the underlying causal mechanisms. By merging detailed micro-level survey data with regional Fine particulate matter (PM) data from Chinese counties spanning the years 1997 to 2015, we have constructed an extensive database to support our analysis.
View Article and Find Full Text PDFModelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.
Sci Rep
January 2025
Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy.
Various modelling techniques are available to understand the temporal and spatial variations of the phenology of species. Scientists often rely on correlative models, which establish a statistical relationship between a response variable (such as species abundance or presence-absence) and a set of predominantly abiotic covariates. The choice of the modeling approach, i.
View Article and Find Full Text PDFSignificance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease.
Sci Rep
January 2025
School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. Although predicting and forecasting the propagation of COVID-19 are valuable, they nevertheless present an enormous challenge.
View Article and Find Full Text PDFProteomic insights into dual-species biofilm formation of E. coli and E. faecalis on urinary catheters.
Sci Rep
January 2025
Division of Microbiology, National Center for Toxicological Research, Food and Drug Administration (FDA), Jefferson, AR, U.S.A.
Infections associated with urinary catheters are often caused by biofilms composed of various bacterial species that form on the catheters' surfaces. In this study, we investigated the intricate interplay between Escherichia coli and Enterococcus faecalis during biofilm formation on urinary catheter segments using a dual-species culture model. We analyzed biofilm formation and global proteomic profiles to understand how these bacteria interact and adapt within a shared environment.
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