Browsing by Author "Modu, Babagana"

Now showing 1 - 3 of 3
  • Thumbnail Image
    ItemOpen Access
    On Survival of Hiv Patients Using Share Frailty Model
    (Department of Statistics, Nasarawa State University Keffi., 2016-04-19) Maijamaa, Bilkisu; Chaku, Shammah Emmanuel; Adehi, Mary Unekwu; Modu, Babagana
    In a situation of terminal event of death happening during follow-up period to preclude further occurrence for recurrent event, the shared frailty model is used considering proportional hazard model for the recurrent and terminal process. Covariates effect taken into account are the ART status of entry, number of medication taken and CD4PepBase of the HIV patient and dependence modeled by the shared frailty model on survival. Human immunodeficiency virus has now reduced from a fatal disease to a chronic disease due to a high rate of antiretroviral treatment ART. ART helps in reducing the viral load and hence bringing mortality due to HIV/AIDS to the lowest minimum. Factors associated with mortality in HIV has significantly studied in the most literature, less attention given to the stages of HIV at which the ART began about the survival time. The awareness and risk factors for mortality at each stage of HIV on when the ART starts for a subject considered in this paper. The research aimed at constructing appropriate measures on stages at which the ART is started to the survival time is evaluated using a shared frailty model to account for heterogeneity within groups of stages of HIV subject.
  • Thumbnail Image
    ItemOpen Access
    PRIORITY BUDGET ALLOCATION THROUGH MIXED INTEGER PROGRAMMING
    (Department of Statistics, Nasarawa Sate University Keffi., 2018-09-06) Chaku, Shammah Emmanuel; Ismaila, Olotu Abdullahi; Modu, Babagana
    Decision making with priority on allocation and reallocation of university funds is based on the direction of the university, this is translated in strategic planning executed with transparency and accountability. It has become very important, particularly in universities, with recent cut for allocation by the government as a result of global financial crises. This research paper proposes implementation integer programming for strategic budget planning to be applied on the university strategic plan as a part of the strategic planning process. Firstly, the marginal cost consequences was calculated considering the budget allocation from the previous year which was used for budget allocation for the current year through both existing and new introduced strategies used for improving the university rating. Secondly the budget allocation is applied to the university strategies without prioritizing the strategies, thirdly the budget allocation is applied to the university strategies without prioritizing the strategies. The outcome of this implementation using mixed integer programming model showed that the targeted achievements could be realized within the allocated budget that was provided by the university. This mixed integer programming model will be useful and suitable to be implemented by organizations that uses strategies for organizational improvement having limited budget allocation issues.
  • Thumbnail Image
    ItemOpen Access
    Real-Time Intelligent Framework for Detecting Malaria Outbreak
    (Department of Statistics, Nasarawa State University Keffi., 2018-07-14) Modu, Babagana; Maijamaa, Bilkisu
    Occurrence 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 planning