This research protocol describes the CHEAQI–MNCH project, which will develop and validate air pollution proxy indicators to examine the impacts of air quality on maternal, newborn and child health outcomes across sub-Saharan Africa.
This research initiative examines air pollution's effects on maternal, newborn, and child health outcomes across sub-Saharan Africa. The project will develop and validate air pollution proxy indicators using data from Kenya, The Gambia and Mozambique to examine the impacts of air quality on maternal, newborn and child health outcomes.
The methodology integrates geospatial analysis, machine learning algorithms, and existing cohort and clinical trial datasets. Key objectives include closing evidence gaps in regions with insufficient air quality monitoring infrastructure, establishing sustainable data science infrastructure, enhancing analytical capabilities among emerging researchers, and facilitating knowledge sharing with stakeholders and policymakers.
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