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Hand-touching of contaminated surfaces is an established mode of infection transmission. However, the role of touch-mediated pathogen spread remains debatable, as frequently touched surfaces may exhibit low pathogen loads. To inform disease-prevention protocols, this study experimentally and theoretically investigated contamination in surface-touch networks as a function of touch behaviours and pathogen sources. Observation of four settings containing bacterial tracer particles showed that while most surfaces were rarely hand-touched, networks were formed by several high-touch 'hubs'. Counterintuitively, heavy contamination was primarily exhibited by some rarely touched surfaces. A new model for simulating contaminant spread via surface touch was developed and validated using the experimental data. The simulation revealed that surface contaminants were typically distributed non-uniformly. In scenarios with one or several localised contaminant sources, high-touch surfaces typically exhibited moderate contamination. A network with a high density of touches or multiple contaminant sources exhibited accelerated spread to a uniform contaminant distribution, with high-touch surfaces quickly approaching moderate concentrations. Therefore, surface touching could either contaminate or 'clean' surfaces. Undetectable or low pathogen concentrations on high-touch surfaces should not be interpreted as an absence of contaminated surfaces or of pathogen spread via surface touch.
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http://dx.doi.org/10.1016/j.jhazmat.2025.138834 | DOI Listing |
Infect Control Hosp Epidemiol
September 2025
Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background And Objectives: Enhanced environmental disinfection is linked to reduced hospital-acquired infection rates. In this study, we aimed to evaluate the efficacy of an emerging disinfection technology, a filtered far-UV-C handheld (FFUHH) device, for reducing bacterial loads on high-touch surfaces in shared clinical workrooms, and to isolate, identify and characterize clinically significant environmental pathogens.
Methods: We compared samples from high-touch items (dictation device, mouse, armchair, desk, and keyboard) before and after FFUHH treatment.
Infect Control Hosp Epidemiol
August 2025
Division of Infectious Diseases, University of California Irvine School of Medicine, Irvine, CA, USA.
Background: Nursing homes residents have a high prevalence of multidrug-resistant organism (MDRO) colonization. Recent trials demonstrated that decolonizing residents reduces infection. However, decolonization's impact on environmental MDRO contamination is not well understood.
View Article and Find Full Text PDFSci Rep
July 2025
Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Antimicrobial resistance (AMR) is a global crisis, posing a critical challenge to healthcare systems, particularly in intensive care units (ICUs), where multidrug-resistant organisms (MDROs) threaten patient survival. This study offers a unique, real-world perspective on AMR dynamics by analyzing 96 metagenomic samples from three key sources: oropharyngeal and rectal swabs of deceased ICU patients (both postadmission and antemortem), healthcare workers, and high-touch ICU surfaces. Findings revealed the ICU environment as a major AMR reservoir, with oropharyngeal swabs carrying the highest AMR burden.
View Article and Find Full Text PDFFront Microbiol
June 2025
Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Background: Carbapenem-resistant (CRAB) poses a significant threat to human health in hospital settings. These environments could serve as a reservoir for CRAB, since (AB) exhibits strong survival capabilities outside the human body. Therefore, it is necessary to investigate the distribution of CRAB in the environment and identify the risk factors associated with its positive detection rate.
View Article and Find Full Text PDFDiagn Microbiol Infect Dis
November 2025
Department of Clinical Laboratory, the First Affiliated Hospital of Guangxi Medical University, Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Guangxi Medical University, Nanning 530021, China. Electronic address:
Objectives: This study employed ultra-sensitive droplet digital PCR (ddPCR) to assess contamination of influenza A and B in hospital laboratories, patient wards, and personal protective equipment (PPE).
Methods: The analytical performance of ddPCR for detecting influenza A and B viruses was firstly assessed using virus transport medium (VTM) simulation samples and real simulation samples. Subsequently, a total of 22 high-touch surface samples were collected from the laboratory environment, along with five PPE samples from laboratory staff.