Two York mathematicians determine how to stay a step ahead of C. difficile
York researchers simulated a C. difficile outbreak in a hospital ward. What they learned will capture the attention of public health officials, policy-makers, clinicians and epidemiologists.
Clostridium Difficile, or C. difficile, strikes fear into the hearts of many. This life-threatening infection, caused through contact with bacteria, can develop rapidly even under the watchful eye of hospital staff. In fact, it is often spread in health care facilitates or nursing homes due to proximity of the bacteria.
Two researchers, Professor Seyed Moghadas and PhD student Sara Maghdoori, mathematicians in York University’s Agent-Based Modelling Laboratory (Faculty of Science), wanted to evaluate strategies for reducing this risk. Their research, funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) ̶ which identifies one of its top research priorities as health and related life sciences and technologies ̶ and the Mathematics of Information Technology and Complex Systems (Mitacs), considered how to control C. difficile in hospitals and offered new hope through early detection – more specifically: screening.
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