ArticleInfection control and hospital epidemiology2011
Epidemiological model for Clostridium difficile transmission in healthcare settings.
Article in Infection control and hospital epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
61 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Simulation models for transmission of health care-associated infection: A systematic review.American journal of infection control · 2020Pooled it
- Asymptomatic carriers of toxigenic C. difficile in long-term care facilities: a meta-analysis of prevalence and risk factors.PloS one · 2015Pooled it
- Modelling the transmission of healthcare associated infections: a systematic review.BMC infectious diseases · 2013Pooled it
- Parameters for the mathematical modelling of Clostridium difficile acquisition and transmission: a systematic review.PloS one · 2013Pooled it
- Article
- Clostridioides difficile colonization amplification despite limited in-hospital transmission: A modeling study.PLoS medicine · 2026Article
- C. difficile Infection in Colorectal Cancer: Risk Determinants, Outcomes, and Evolving Management Approaches.Journal of gastrointestinal cancer · 2025Review
- Proinflammatory pathways contribute to the pathogenesis of Clostridioides difficile infection in a murine model using Spatial transcriptomics.Scientific reports · 2025Article
- Antibiotic Use and the Risk of Hospital-Onset Clostridioides Difficile Infection.JAMA network open · 2025Article
- Risk factors and outcomes of Clostridioides difficile infection in patients with colorectal cancer: critical perspective in management.Gut pathogens · 2025Review
- The Effect of Periodontitis on Body Size Phenotypes in Adults without Diagnosed Chronic Diseases: The Korean National Health and Nutrition Examination Survey 2013-2015.International journal of environmental research and public health · 2024Article
- Review
- Article
- Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile.Scientific reports · 2023Article
- Screening for Asymptomatic Clostridioides difficile Carriage Among Hospitalized Patients: A Narrative Review.Infectious diseases and therapy · 2023Review
- A review of epidemiological models of Clostridioides difficile transmission and control (2009-2021).Anaerobe · 2022Review
- Mathematically modeling the effect of touch frequency on the environmental transmission of Clostridioides difficile in healthcare settings.Mathematical biosciences · 2021Article
- Review
- Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission.PLoS computational biology · 2021Article
- Comparing intervention strategies for reducing Clostridioides difficile transmission in acute healthcare settings: an agent-based modeling study.BMC infectious diseases · 2020Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveRecent outbreaks of Clostridium difficile infection (CDI) have been difficult to control, and data indicate that the importance of different sources of transmission may have changed. Our objectives were to evaluate the contributions of asymptomatic and symptomatic C. difficile carriers to new colonizations and to determine the most important epidemiological factors influencing C. difficile transmission. DESIGN, SETTING, AND PATIENTS: Retrospective cohort study of all patients admitted to medical wards at a large tertiary care hospital in the United States in the calendar year 2008.
methodsData from six medical wards and published literature were used to develop a compartmental model of C. difficile transmission. Patients could be in one of five transition states in the model: resistant to colonization (R), susceptible to colonization (S), asymptomatically colonized without protection against CDI (C(-)), asymptomatically colonized with protection against CDI (C(+)), and diseased (ie, with CDI; D).
resultsThe contributions of C(-), C(+), and D patients to new colonizations were similar. The simulated basic reproduction number ranged from 0.55 to 1.99, with a median of 1.04. These values suggest that transmission within the ward alone from patients with CDI cannot sustain new C. difficile colonizations and therefore that the admission of colonized patients plays an important role in sustaining transmission in the ward. The epidemiological parameters that ranked as the most influential were the proportion of admitted C(-) patients and the transmission coefficient for asymptomatic carriers.
conclusionOur study underscores the need to further evaluate the role of asymptomatically colonized patients in C. difficile transmission in healthcare settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.