Analysis of nosocomial infections as a stochastic process
Project/Area Number |
26670347
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Medical and hospital managemen
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Research Institution | Niigata University |
Principal Investigator |
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Research Collaborator |
TAKANO Misao 新潟大学, 医歯学総合病院, 臨床検査技師長
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Project Period (FY) |
2014-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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Keywords | 院内感染 / アウトブレイク / 確率分布 / ポアソン分布 / ガンマ分布 / 院内感染管理 / ポアソン過程 / 確率過程 / MRSA |
Outline of Final Research Achievements |
For early detection of outbreaks of nosocomial infections, monthly occurrences of some pathogenic bacteria in wards are analyzed in many hospitals. However, systematic statistical procedures to evaluate these data have not been established yet. We analyzed time series of methicillin-resistant Staphylococcus aureus (MRSA) detections in Niigata University Medical and Dental Hospital to elucidate the stochastic structure of nosocomial infections. Our results showed that the time series of MRSA detections satisfies the features of a Poisson process, and enabled the strict calculations of probabilities and statistical evaluations of the observed data.
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Report
(2 results)
Research Products
(1 results)