Modeling Clostridium difficile in a hospital setting: Control and admissions of colonized and symptomatic patients

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Abstract

Background: Clostridium difficile (C. difficile) infection is an important cause of healthcare-associated diarrhea. Several factors such as admission of colonized patients, levels of serum antibodies in patients, and control strategies may involve in determining the prevalence and the persistence of C. difficile in a hospital unit. Methods: We develop mathematical models based on deterministic and stochastic frameworks to investigate the effects of control strategies for colonized and symptomatic patients and admissions of colonized and symptomatic patients on the prevalence and the persistence of C. difficile. Results: Our findings suggest that control strategies and admissions of colonized and symptomatic patients play important roles in determining the prevalence and the persistence of C. difficile. Improving control of C. difficile in colonized and symptomatic patients may generally help reduce the prevalence and the persistence of C. difficile. However, if admission rates of colonized and symptomatic patients are high, the prevalence of C. difficile may remain high in a patient population even though strict control policies are applied. Conclusion: Control strategies and admissions of colonized and symptomatic patients are important determinants of the prevalence and the persistence of C. difficile.

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Chamchod, F., & Palittapongarnpim, P. (2019). Modeling Clostridium difficile in a hospital setting: Control and admissions of colonized and symptomatic patients. Theoretical Biology and Medical Modelling, 16(1). https://doi.org/10.1186/s12976-019-0098-0

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