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dc.contributor.authorMwamnyange, Mdoe
dc.contributor.authorLuhanga, Edith T.
dc.contributor.authorThodge, Sanket R.
dc.date.accessioned2021-05-05T07:45:22Z
dc.date.available2021-05-05T07:45:22Z
dc.date.issued2021
dc.identifier.urihttps://dx.doi.org/10.14569/IJACSA.2021.0120345
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/1171
dc.descriptionThis research article published by International Journal of Advanced Computer Science and Applications,Vol. 12, No. 3, 2021en_US
dc.description.abstractTanzania, like most East African countries, faces a great burden from the spread of preventable infectious childhood diseases. Diarrhea, acute respiratory infections (ARI), pneumonia, malnutrition, hepatitis, and measles are responsible for the majority of deaths amongst children aged 0-5 years. Infectious disease surveillance and response is the foundation of public healthcare practices, and it is increasingly being undertaken using information technology. Tanzania however, due to challenges in information technology infrastructure and public health resources, still relies on paper-based disease surveillance. Thus, only traditional clinical patient data is used. Nontraditional and pre-diagnostic infectious disease report case data are excluded. In this paper, the development of the Big Data Analytics Framework for Childhood Infectious Disease Surveillance and Response System is presented. The framework was designed to guide healthcare professionals to track, monitor, and analyze infectious disease report cases from sources such as social media for prevention and control of infectious diseases affecting children. The proposed framework was validated through use-cases scenario and performance-based comparison.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Advanced Computer Science and Applicationsen_US
dc.subjectBig data analyticsen_US
dc.subjectChildhood infectious diseasesen_US
dc.subjectInfectious disease surveillance systemen_US
dc.subjectInfectious disease report casesen_US
dc.subjectHealthcare big dataen_US
dc.subjectMap reduceen_US
dc.titleBig Data Analytics Framework for Childhood Infectious Disease Surveillance and Response System using Modified MapReduce Algorithmen_US
dc.typeArticleen_US


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