Evidence map›Paper›PMID 34310932›Full record

ArticleMathematical biosciences2021

Mathematically modeling the effect of touch frequency on the environmental transmission of Clostridioides difficile in healthcare settings.

Cara Jill Sulyok, Lindsey Fox, Hannah Ritchie, Cristina Lanzas, Suzanne Lenhart, Judy Day

Open access · greenAbstract read
In one paragraph

Article in Mathematical biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Cara Jill SulyokDepartment of Mathematics, University of Tennessee, Knoxville, 1403 Circle Drive, Knoxville, TN 37996, United States of America. Electronic address: csulyok@vols.utk.edu.
Lindsey FoxDepartment of Mathematics, Eckerd College, 4200 54th Ave S, St. Petersburg, FL 33711, United States of America.
Hannah RitchieDepartment of Population Health and Pathobiology, North Carolina State University, 1051 William Moore Drive, Raleigh, NC 27607, United States of America.
Cristina LanzasDepartment of Population Health and Pathobiology, North Carolina State University, 1051 William Moore Drive, Raleigh, NC 27607, United States of America.
Suzanne LenhartDepartment of Mathematics, University of Tennessee, Knoxville, 1403 Circle Drive, Knoxville, TN 37996, United States of America.
Judy DayDepartments of Mathematics and Electrical Engineering and Computer Science, University of Tennessee, Knoxville, 1403 Circle Drive, Knoxville, TN 37996, United States of America.
North Carolina State University · USUniversity of Tennessee at Knoxville · USEckerd College · USKnoxville College · US

Funding

Modeling and control of environmentally transmitted pathogensR01GM113239 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI LANZAS, CRISTINA · 2014 to 2017
$624k
NIGMS NIH HHS R01 GM113239
6 · The paper itself

Abstract

Clostridioides difficile, formerly Clostridium difficile, is the leading cause of infectious diarrhea and one of the most common healthcare acquired infections in United States hospitals. C. difficile persists well in healthcare environments because it forms spores that can survive for long periods of time and can be transmitted to susceptible patients through contact with contaminated hands and fomites, objects or surfaces that can harbor infectious agents. Fomites can be classified as high-touch or low-touch based on the frequency they are contacted. The mathematical model in this study investigates the relative contribution of high-touch and low-touch fomites on new cases of C. difficile colonization among patients of a hospital ward. The dynamics of transmission are described by a system of ordinary differential equations representing four patient population classes and two pathogen environmental reservoirs. Parameters that have a significant effect on incidence, as determined by a global sensitivity analysis, are varied in stochastic simulations of the system to identify feasible strategies to prevent disease transmission. Results indicate that on average, under one-quarter of asymptomatically colonized patients are exposed to C. difficile via low-touch fomites. In comparison, over three-quarters of colonized patients are colonized through high-touch fomites, despite additional cleaning of high-touch fomites. Increased contacts with high-touch fomites increases the contribution of these fomites to the incidence of colonized individuals and decreasing the duration of a hospital visit reduces the amount of pathogen in the environment. Thus, enhanced efficacy of disinfection upon discharge and extra cleaning of high-touch fomites, reduced contact with high-touch fomites, and higher discharge rates, among other control measures, could lead to a decrease in the incidence of colonized individuals.

Indexed as

Clostridioides difficileClostridium InfectionsCross InfectionModels, BiologicalTouchDelivery of Health CareEnvironmental MicrobiologyHumansClostridioides difficileEnvironmental transmissionFomiteMathematical modelOrdinary differential equationsStochastic simulation

Identifiers

PMID34310932
PMCPMC9421614
OpenAlexW3186878642

What OpenQuestion holds

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Registered trials

None linked

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.