Services

Our Core Research and Analytics Services

Epidemiology & Disease Surveillance Analytics

We provide advanced epidemiological analysis to support infectious and non-communicable disease surveillance. Our work integrates routine surveillance data, demographic indicators, and contextual risk factors to identify patterns, monitor trends, and inform timely public health responses.

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Data Science & Machine Learning for Public Health

We develop interpretable machine learning and statistical learning models for disease forecasting, risk prediction, and early warning systems. Our approach emphasizes methodological transparency, reproducibility, and policy relevance in real-world public health settings.

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Spatial and Spatiotemporal Modeling

We apply Bayesian and frequentist spatial modeling frameworks to quantify geographic heterogeneity in disease risk. Our analyses incorporate spatial dependence, temporal dynamics, and uncertainty estimation to support small-area risk mapping and targeted intervention planning.

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Have a project in mind,need analytical or research support?

We support governments, academic institutions, NGOs, and public health organizations through rigorous data analysis, epidemiological modeling, and policy-relevant research. Let us collaborate to generate evidence that informs action.

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Partnering to Advance Evidence-Informed Public Health

At the Global Health Research & Data Analytics Lab (GHRDA), we collaborate with academic institutions, public health agencies, and policy stakeholders to generate rigorous, transparent, and reproducible analytical evidence. Our work supports surveillance, risk assessment, and policy evaluation across diverse health systems, with a focus on equity-driven and data-informed decision-making.