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Aaron Zimba

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Open access Sep 2026

A multi-facility data quality assessment of electronic health records for trustworthy AI in HIV public health in Zambia

Artificial intelligence (AI) holds promise for HIV disease surveillance and clinical decision support in sub-Saharan Africa, yet AI reliability and fairness depend fundamentally on data quality, a dimension rarely assessed before model development. This study presents a systematic, multi-facility data quality assessmen...

Joe Phiri, Aaron Zimba, C. Njovu et al. · 0 citations
Open access Oct 2026

A macroscopic traffic flow model with gap-controlled driver response and adaptive reaction dynamics

Macroscopic traffic flow models play a critical role in analysing and predicting large-scale traffic behaviour. The Payne-Whitham (PW) model has provided a foundational framework in this domain, yet its assumption of instantaneous driver response and fixed desired velocity limits its ability to capture the nuances of r...

Benjamin Simwinga, Aaron Zimba, Mayumbo Nyirenda · 0 citations
#artificial intelligence Open access Sep 2026

Predicting petrol prices in Zambia using machine learning and explainable artificial intelligence under a regulated cost-plus pricing framework

Fuel price volatility presents significant economic and policy challenges in import-dependent economies such as Zambia. This study implements and compares four machine learning models: Ridge Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR) and Long Short-Term Memory (LSTM), using the Mean Abs...

Melanie Maliti, Aaron Zimba · 0 citations
Review Open access Aug 2026

A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries with comparative benchmarks from high income settings

This review synthesises studies on ML-based prediction using EHR or routinely collected electronic clinical data, with direct LMIC evidence analysed alongside high-income country (HIC) studies, included as methodological benchmarks.

Joe Phiri, Aaron Zimba, C. Njovu et al. · 0 citations
Review Open access Aug 2026

A systematic review of intelligent wireless communication and sensing for sustainable 5G and 6G enabled intelligent transportation systems

This is the first PRISMA-guided systematic review that provides a unified cross-layer synthesis of intelligent wireless communication, sensing technologies, and AI-driven traffic modeling specifically for sustainable vehicular congestion reduction in 5G/6G-enabled ITS.

Benjamin Simwinga, Aaron Zimba, Mayumbo Nyirenda · 0 citations

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