Real-Time Intelligent Framework for Detecting Malaria Outbreak

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dc.contributor.authorModu, Babagana
dc.contributor.authorMaijamaa, Bilkisu
dc.date.accessioned2023-12-14T08:14:42Z
dc.date.available2023-12-14T08:14:42Z
dc.date.issued2018-07-14
dc.description.abstractOccurrence of malaria out break in developing countries have pose social and economic problem to the populace. Despite effort for preventive measures, by the World Health Organisation (WHO) and other health organisation agencies, there are a lot of uncertainty regarding where and when the outbreak of malaria will strike remains a key challenges. Several works were presented applying wide range of techniques towards reducing the incidence of malaria out break. The out break of malaria parasite is still on the high rate due to inadequate mechanism for tracking, detecting and preventing the outbreak in advance. This research seeks to propose a framework using real-time incidence of malaria out break to monitor the pattern of incidences of the out break. This proposed framework using realtime statistical control charts such as cumulative sum (CUSUM) and exoponential weighted moving average (EWMA) will be of great importance to hospitals, public health officials and policy makers with prior information to better prepare in anticipation of malaria outbreak for better management and planningen_US
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dc.identifier.urihttps://keffi.nsuk.edu.ng/handle/20.500.14448/6224
dc.language.isoenen_US
dc.publisherDepartment of Statistics, Nasarawa State University Keffi.en_US
dc.subjectMalaria, Outbreak, Detection, Hospitals Protocols, CUSUM, EWMA, Preventionen_US
dc.titleReal-Time Intelligent Framework for Detecting Malaria Outbreaken_US
dc.typeArticleen_US

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