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Kennedy Nyongesa

Publications (4)

State-Transition Model for Malaria Symptoms

Drinold Aluda Mbete & Kennedy Nyongesa · Asian Journal of Probability and Statistics · 2021

Aims/ objectives: To develop a state-transition model for malaria symptoms. Study design: Longitudinal study.  Place and Duration of Study: Department of Mathematics Masinde Muliro University of Science and Technology between January 2015 and December 2015.  Methodology: We inclu...

Open access Research Article 10.9734/ajpas/2020/v10i430253

Estimation of Malaria Symptom Data Set using Hidden Markov Model

Drinold Mbete, Kennedy Nyongesa & Joseph Rotich · Asian Journal of Probability and Statistics · 2019

Clinical study of malaria presents a modeling challenge as patients disease status and progress is partially observed and assessed at discrete clinic visit times. Since patients initiate visits based on symptoms, intense research has focused on identication of reliable prediction...

Open access Research Article 10.9734/ajpas/2019/v4i230110

Fitting Probability Distribution Function to Malaria Incidence Data

Drinold Mbete, Kennedy Nyongesa & Joseph Rotich · Asian Journal of Probability and Statistics · 2019

Abstract: Malaria remains a major infectious disease that affects millions of people. Once infected with Plasmodium parasites, a host can develop a broad range of clinical presentations, which result from complex interactions between factors derived from the host, the parasite an...

Open access Research Article 10.9734/ajpas/2019/v3i230087

Application of Linear Programming Knowledge and Skills to Real Life Contexts by Secondary School Students in Kenya

Shikuku Beatrice Nakhanu, William Wanjala Toili & Kennedy Nyongesa · Journal of Scientific Research and Reports · 2015

Linear programming is a specific class of mathematical problems, in which a linear function is maximized (or minimized) subject to given linear constraints. Linear programming can be used in a variety of business problems including: transportation and distribution, production sch...

Open access Research Article 10.9734/JSRR/2015/18300