The silent epidemic: Global threat of antibiotic resistant bacteria: Carbapenem Resistant Enterobacteriaceae (CRE)
DOI:
https://doi.org/10.14288/cjur.v2i2.189309Keywords:
epidemic, CRE, carbapenem, model, enterobacteriaceae, resistant, resistanceAbstract
In silico mathematical modeling and optimization has been a reliable means to predict the morbidity of diseases. Diseases associated with Carbapenem-Resistant Entero-bacteriacae (CRE) are difficult to treat and have been with high mortality rates due to the highly adaptive nature of this bacterial family. Currently, CRE is resistant to almost all antibiotics available (Chen, Todd, Kiehlbauch, Walters, & Kallen, 2016) with mortality rates of about 45% (“Vital Signs”, 2013). To better evaluate the severity of CRE outbreaks in Canada and the United States (US), a Python program that analyzes and predicts the potential of outbreaks escalating into epidemics was developed. The program uses two mathematical models that compare and graph the relative amounts of individuals/patients that are susceptible, infected or dead. The first model is deterministic which involves static rates taken from various data sources, whereas the second model is stochastic, which reflects dynamic rates according to parameters like time and changes in infectivity rate. Both models predicted epidemics in Canada and the US under current conditions, as expected.
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