Research

Evidence for Africa's toughest environment-health challenges.

We utilize advanced Geographical Information Science (GISc) to transform complex spatial and health data into actionable insights that guide policy, empower communities, and protect public health in Africa's toughest health and climate challenges.

Research Focus Areas
Maternal & Child Health
Spatial patterns in maternal mortality, healthcare access, and community-based interventions across Africa.
Environmental Health
Air quality monitoring, climate-health interactions, and environmental exposure assessment using advanced spatial methods.
Geospatial Analysis
GIS applications, remote sensing, and spatial data science across diverse African contexts.
Machine Learning & AI
Predictive modeling and AI-driven tools for health and environmental decision-making.
Community Engagement
Participatory research with communities, policymakers, and institutions to ensure relevant, real-world impact.
Current Research Projects

PRECISE — PREgnancy Care Integrating translational Science Everywhere

Active · 2020 – Present

The PRECISE Network is a broadly-based group of research scientists and health advocates mainly based in the UK and Africa, including the World Health Organization. PALs leads the health geography component and aims to understand geographical influences on placental disorders of pregnancy — including hypertension, fetal growth restriction, and stillbirth — across the Gambia, Mozambique, and Kenya. Funded by UK Research and Innovation (UKRI) Global Challenge Research Fund (GCRF).

Maternal HealthGeospatial AnalysisAfricaPregnancyHealth Geography

CHEAQI-MNCH — Climate, Health, Environment, Air Quality, and Maternal, Newborn and Child Health

Active · 2021 – Present

This data science project quantifies the current and future impacts of air pollution on maternal and neonatal health in sub-Saharan Africa, where air quality is deteriorating with accelerated urbanization and population growth. It focuses on the synergistic association between heat waves and air pollution, developing adaptive interventions for vulnerable populations. Partners include NIH, Wellcome Trust, WITS, HE²AT Centre, and University of California Berkeley.

Air PollutionMachine LearningClimate HealthMaternal HealthData Science

ETIQUET — Extrapolating Temperature and Air Quality Exposure in Space and Time

Completed · Feb 2024 – Jun 2025

An initiative addressing the persistent scarcity of environmental exposure data in sub-Saharan Africa. ETIQUET develops scalable models to estimate exposure to air pollution (PM₂.₅, NO₂) and temperature at a daily resolution across unsampled locations, integrating high-resolution satellite data, sensor networks, and epidemiological surveillance datasets using spatio-temporal kriging, land use regression, and semi-supervised deep learning. Partners: HE²AT Centre, WITS University, Midlands State University.

Environmental DataDeep LearningSpatial AnalysisAir QualityTemperature

CHEAQI Landscape Fire Smoke Supplement — Fire Smoke & Birth Outcomes in Sub-Saharan Africa

Active · 2023 – Present

Sub-Saharan Africa is the most fire-affected region globally, responsible for nearly 70% of the world's burned area each year — 41% of fires being agricultural. This NIH-funded supplement addresses the knowledge gap in fire smoke exposure and birth outcomes in Africa, integrating SILAM atmospheric composition data with machine learning and distributed lag models. Partners: NIH, WITS, Finnish Meteorological Institute.

Fire SmokeBirth OutcomesPM2.5NIH FundedAgricultural Fires
Publications

42 peer-reviewed articles and preprints, and one forthcoming book, from Place Alert Labs and collaborators — spanning maternal health, environmental exposure, and health geography.

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