📢 Upcoming Seminar
#SSACAB
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#Scienceforafricafoundation
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#Wellcometrust
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#Biostatistics
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#PublicHealth
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#ClimateChange
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#Epidemiology
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#BayesianStatistics
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#DataScience
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#MakerereUniversity
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#UniversityOfMalawi
Join us for an engaging research seminar featuring two speakers showcasing impactful research presentations highlighting the intersection of statistics, public health, climate science, and policy in Africa.
Topic: Bayesian Hierarchical Hidden Markov Models for
Multivariate Epidemic Time Series
Key focus areas:
🔹 Non-linear regime-switching models for infectious disease forecasting by extending hidden Markov models
🔹 Models the influence of the two previous states on transition probabilities and embedding autoregressive dynamics within these latent regimes.
🔹 Applies to HIV-related mortality and viral load monitoring EMR data to model identified distinct operational regimes in the healthcare system
💡 Why this matters:
Accurate epidemic forecasting models are critical for strengthening healthcare systems, improving preparedness, and supporting timely interventions. By identifying hidden operational regimes in healthcare data, this research can help policymakers and health practitioners better allocate resources, monitor HIV outcomes, and respond proactively to changing disease dynamics.
Topic: Investigating the effects of climate variability on maize and beans crop yields and nutrition outcomes among children 6-59 months of age in the Eastern region of Uganda
Key focus areas:
💡 Why this matters:
Climate variability continues to threaten food security and child health across many African communities. Understanding how changing climate conditions affect crop yields and nutrition outcomes is essential for designing evidence-based interventions that protect vulnerable households, improve nutrition among children, and strengthen resilience in food systems.