Research

Mavuto Mukaka

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Expertise related to UN Sustainable Development Goals

Mavuto Mukaka, focuses on the following key SDGs through interdisciplinary work addressing global challenges.

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Prediction of Baseline Acute Respiratory Distress in Severe Malaria African Children

Acute respiratory distress (ARD) is a global health concern due to its high rates of morbidity and mortality in children. Early identification of the predictors of baseline ARD is very vital to necessitate timely interventions and improved clinical management of the condition. This study aimed at establishing a predictive model for predicting ba... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2024

Author: Gondwe, Innocent Harvery Supervisor(s): Mavuto Mukaka

Identifying Predictors of Baseline Hypoglycaemia in Severe Malaria African Children: a Prognostic Scoring System Approach

Hypoglycemia is a life-threatening complication of severe malaria in African children. Early identification of predictors of baseline hypoglycemia is crucial for timely intervention and improved clinical outcomes. This retrospective study aimed to identify predictors of baseline hypoglycemia in severe malaria African children using univariate an... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2024

Author: Matimati, Tony Supervisor(s): Mavuto Mukaka

Survival Analysis and Frailty Modelling of Time-to-event Data: an Application to Infant Mortality in Malawi

Infant mortality rate is one of the important health and development indicators in a country or community and that is why reduction of infant mortality has been the main target of public health policies for the past decades. Malawi, like many countries in the sub Saharan Africa is a country that suffers from the highest rates of infant mortality... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2024

Author: Khundi, Esther Supervisor(s): Mavuto Mukaka

Application of the Extended Cox-proportional Hazards Model for the Analysis of Mass Oral Azithromycin for Reduction of Childhood Mortality in the Presence of Time-dependent Covariates

The famous Cox proportional hazard model is applied in most medical research studies that involve time to event data like mass oral azithromycin for the reduction of childhood mortality. Literature has shown that this model overestimates estimates in the presence of time varying covariates. This thesis compared the Cox proportional hazard model ... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2022

Author: Chisambi, Alvin Blessings Supervisor(s): Mavuto Mukaka

Modelling Association Between Competing Risks Survival and Longitudinal Outcomes in Randomized Controlled Trial for Malaria Interventional Studies Using Joint Models

Biomedical studies may collect longitudinal and survival data in follow-up malaria studies. In randomized controlled trials in malaria interventional studies the longitudinal and survival data are analyzed separately (mixed-effect and Cox Models), yet the longitudinal outcomes may be important predictors in the survival outcomes. Standard method... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2019

Author: Masangwi, Danger Didjier Gwedeza Supervisor(s): Mavuto Mukaka

Modeling Length of Hospital Stay for Tuberculosis Treated In-patients at Queen Elizabeth Central Hospital: a Competing Risk Perspective

A retrospective cohort study was done on adult TB in-patients database from Queen Elizabeth Central Hospital (QECH) SPINE database to identify factors explaining time to discharge from hospital while accounting for a competing event: death. The study aimed to apply and compare competing risk models on TB data. Semi-parametric Cause-specific haza... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2016

Author: Twabi, Halima Sumayya Supervisor(s): Mavuto Mukaka

A Comparison of Joint and Separate Models for Repeated Measurements and Time-to-event Data: Application of Nutrition Data from Hiv Positive Patients at Queen Elizabeth Central Hospital in Malawi

Sometimes clinical trials collect survival data, which have some variables measured longitudinally. This type of data is mostly analyzed using Cox proportional models with time dependent covariates. The longitudinal variables are treated as time dependent covariates. When there is association between a longitudinal variable and the time to event... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2013

Author: Kumitawa, Andrew Aclain Supervisor(s): Mavuto Mukaka

Modelling Length of Hospital Stay of In-patients Treated for Infectious Diseases under Ordinary Clinical Conditions: a Competing Risks Models Perspective

Background: In survival analysis studies the interest is time taken to experience an event of interest. However, the probability of encountering the event of interest is commonly altered in studies where subjects experience an event other than that of interest. The standard survival time analysis methods, such as Kaplan-Meier method and the stan... Read more

School: School of Natural and Applied Sciences

Research type: Master Thesis Issue year: 2012

Author: Banda, Louis Masankha Supervisor(s): Mavuto Mukaka

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