A Bayesian model for predicting monthly fire frequency in Kenya von Orero, Levi, Omondi, Evans Otieno, Omolo, Bernard Oguna

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Improving performance of hurdle models using rare-event weighted logistic regression: an application to maternal mortality data von Awuor Okello, Sharon, Otieno Omondi, Evans, Odhiambo, Collins O

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Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model von Kigo, Samuel Njoroge, Omondi, Evans Otieno, Omolo, Bernard Oguna

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Determinants of COVID-19 Vaccine Acceptability among Healthcare Workers in Kenya—A Mixed Methods Analysis von Mudhune, Victor, Ondeng’e, Ken, Otieno, Fanuel, Otieno, Derick B, Bulinda, Collins M, Okpe, Ikechukwu, Nabia, Sarah, Bar-Zeev, Naor, Otieno, Omondi, Wonodi, Chizoba

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Structural behaviour of reinforced concrete beams containing recycled polyethylene terephthalate and sugarcane bagasse ash von Daniel, Chukwuemeka, Onchiri, Richard Ocharo, Omondi, Benard Otieno

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Mechanical and physical characteristics of concrete mixed with sugarcane bagasse ash and recycled polyethylene terephthalate von Daniel, Chukwuemeka, Onchiri, Richard Ocharo, Omondi, Benard Otieno

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Stochastic Delay Differential Equations: A Comprehensive Approach for Understanding Biosystems with Application to Disease Modelling von Babasola, Oluwatosin, Omondi, Evans Otieno, Oshinubi, Kayode, Imbusi, Nancy Matendechere

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Mathematical Modelling of Tuberculosis and Diabetes Co-Infection Using the Non- Standard Finite Difference Scheme von Musyoki, Eunice Mueni, Mutuku, Winfred Nduku, Imbusi, Nancy Matendechere, Omondi, Evans Otieno

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An application of a supervised machine learning model for predicting life expectancy von Lipesa, Brian Aholi, Okango, Elphas, Omolo, Bernard Oguna, Omondi, Evans Otieno

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A Bayesian model for predicting monthly fire frequency in Kenya von Levi Orero, Evans Otieno Omondi, Bernard Oguna Omolo

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trypanocidal Cape buffalo serum protein is xanthine oxidase von Muranjan, M, Wang, Q, Li, Y.L, Hamilton, E, Otieno-Omondi, F.P, Wang, J, Van Praagh, A, Grootenhuis, J.G, Black, S.J

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Perception and Level of Knowledge on Preconception Care Uptake Among Women of Child Bearing Age Attending Reproductive Health Clinic at Kenyatta National Hospital von Madina Guye, Edalia, Bernard Kidinga, Edalia, Moses Omondi, Otieno, Michael, Mutabazi, Daniel, Okun

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Application of optimal control to the onchocerciasis transmission model with treatment von Omondi, Evans Otieno, Orwa, Titus Okello, Nyabadza, Farai

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African buffalo serum contains novel trypanocidal protein von Reduth, D, Grootenhuis, J.G, Olubayo, R.O, Muranjan, M, Otieno-Omondi, F.P, Morgan, G.A, Brun, R, Williams, D.J.L, Black, S.J

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Maize (Zea mays L.) Growth and Yield Response to Tillage Methods and Fertilizer Combinations in the Midland Agro-ecological Zones of Kenya von Otieno, Hillary Moses Omondi, Zingore, Shamie, Chemining‘wa, George N., Gachene, Charles K.

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Tillage Method and Residual N, P, K, Zn, B, Mg, Ca, and S Nutrients Effect on Growth and Yield of Dry Bean Grown after the Harvest of Maize von Otieno, Hillary Moses Omondi, Chemining‘wa, George N., Zingore, Shamie, Gachene, Charles K.

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Economics of Maize and Bean Production: Why Farmers need to Shift to Conservation Agriculture for Sustainable Production von Otieno, Hillary Moses Omondi, Chemining‘wa, George N., Gachene, Charles K., Zingore, Shamie

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Exposure and predictors of intention to use HIV pre-exposure prophylaxis (PrEP) among adolescent girls and young women: assessment of Jipende JiPrEP campaign in Kisumu, Kenya von Hawi, Sarah, Aduda, Dickens Omondi, Nyambuga, Charles Ongadi, Oduor, Patience Aoko, Awuoche, Hellen Aoko, Nyanjom, Maryanne Akoth, Otieno, George Omondi

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MMR maternal deaths and LTR MMEIG-trends from 2000-2017 from Improving performance of hurdle models using rare-event weighted logistic regression: an application to maternal mortal... von Awuor Okello, Sharon, Otieno Omondi, Evans, Odhiambo, Collins O.

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Maternal Mortality Data from Improving performance of hurdle models using rare-event weighted logistic regression: an application to maternal mortality data von Awuor Okello, Sharon, Otieno Omondi, Evans, Odhiambo, Collins O.

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