Transmission Dynamics And Control Of Cholera In Africa: A Mathematical Modelling Approach
dc.contributor.advisor | Kong, Jude | |
dc.contributor.author | Adeniyi, Ebenezer Olayinka | |
dc.date.accessioned | 2025-04-10T10:50:04Z | |
dc.date.available | 2025-04-10T10:50:04Z | |
dc.date.copyright | 2024-11-14 | |
dc.date.issued | 2025-04-10 | |
dc.date.updated | 2025-04-10T10:50:04Z | |
dc.degree.discipline | Mathematics & Statistics | |
dc.degree.level | Master's | |
dc.degree.name | MA - Master of Arts | |
dc.description.abstract | Background: Cholera, caused by Vibrio cholerae, is a global health threat, with outbreaks surging since 2021, particularly in Africa. In 2024, over 13 African countries faced outbreaks worsened by climatic events, poverty, and weak healthcare systems. A shortage of vaccines further complicates control efforts. Objective: This study uses data science, machine learning, and modelling to analyze cholera dynamics, identify outbreak drivers, and propose targeted interventions. Methods: A compartmental model with Bayesian estimation analyzed cholera data from eight African countries. Sensitivity analysis identified key transmission parameters, and hierarchical clustering grouped countries by outbreak characteristics. Results: Average R0 was 2.0, ranging from 1.41 (Zimbabwe) to 2.80 (Mozambique). Factors like infection rate and human shedding increased R0, while recovery rate reduced it. Clustering identified three outbreak drivers: natural disasters, conflict, and sanitation issues. Conclusion: Tailored, data-driven interventions are critical for effective cholera management across diverse contexts. | |
dc.identifier.uri | https://hdl.handle.net/10315/42813 | |
dc.language | en | |
dc.rights | Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. | |
dc.subject.keywords | Cholera transmission | |
dc.subject.keywords | Modified iSIRB models | |
dc.subject.keywords | Infectious disease modelling | |
dc.subject.keywords | Basic reproduction number | |
dc.title | Transmission Dynamics And Control Of Cholera In Africa: A Mathematical Modelling Approach | |
dc.type | Electronic Thesis or Dissertation |
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