Upcoming Seminar

#SSACAB | #Scienceforafricafoundation | #Wellcometrust | #Biostatistics | #PublicHealth | #MachineLearning | #DataScience | #PredictiveModeling | #StatisticalModeling

📢 Upcoming Seminar

An upcoming SSACAB Biostatistics Research Seminar will feature two speakers from Makerere University presenting research on the intersection of data science, public health, and environmental health. The seminar will cover machine learning approaches to predicting hypertension among people living with HIV and a spatio-temporal analysis examining the influence of climate change on respiratory diseases in Kampala, Uganda.

🗓 Date: 24 March 2026
⏰ Time: 14:00–15:00 (SAST)
🔗 Join the seminar: https://bit.ly/45ir990

🔹 Talk 1

Developing Algorithms to Predict Hypertension Occurrence Among HIV-Infected Patients at a Specialised HIV Care Clinic in Kampala, Uganda: Application of Machine Learning Methods

Presenter: chemutai nancy

Key focus areas:

➡️ Identifying key predictors of hypertension among people living with HIV using machine learning

➡️Developing predictive models for early hypertension risk detection

➡️Comparing machine learning approaches with conventional statistical methods

➡️Using model insights to support clinical decision-making and early intervention

🔍Why It Matters:
Hypertension is increasingly common among people living with HIV. Early risk prediction using advanced analytical methods can help clinicians identify high-risk patients earlier and improve long-term health outcomes.


🔹 Talk 2

A Spatio-Temporal Analysis Assessing the Influence of Climate Change on Respiratory Diseases in Kampala City, Uganda

Presenter: Fiona Agweng

Key Focus Areas:

➡️ Socioeconomic Determinants of Childhood Malaria

Assessing the impact of climate factors on the morbidity and spatial-temporal distribution of respiratory diseases in Kampala from 2021–2024

🔍Why It Matters:
Climate variability is increasingly linked to respiratory health risks. Understanding how environmental changes influence disease patterns can help inform targeted public health responses and climate-resilient health planning.

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