Mapping child survival and why it matters for the Kenyan child: Insights from geospatial modelling
All-cause under-five mortality (U5M) forms a key parameter for monitoring and planning of health strategies. Decision-makers need to understand subnational variations in U5M, its determinants and their impact to plan equitable and efficient service delivery. In this talk, Dr Peter Macharia will describe and discuss how they applied spatio-temporal models to map:
- factors affecting child survival, including health interventions, rates of healthcare utilisation and disease infection prevalence
- the application of counterfactual models to assess the impact of these determinants on U5M across five decades
The talk is based on several Kenyan studies anchored at 47 sub-national geographical units (counties) used for devolved decision making.
Dr Peter Macharia, Lancaster University and KEMRI Wellcome Trust Research Programme
Dr Peter Macharia applies geospatial models to derive spatial health metrics to aid in a better understanding of health inequalities, vulnerabilities, and population health. He is particularly interested in the use of conditional autoregressive models and model-based geostatistics to map disease prevalence, child health outcomes; characterising physical access and marginalisation to healthcare and creation of health indices.
Peter is currently a Royal Society - Newton International Fellow at CHICAS, Lancaster University, UK and a visiting researcher at Population Health Unit, KEMRI Wellcome Trust Research Programme (KWTRP), Kenya. He received his BSc and MSc in Geomatic Engineering & Geospatial Information Systems from Jomo Kenyatta University of Agriculture and Technology, a postgraduate diploma in health research methods at Pwani University and a PhD in spatial epidemiology from The Open University, UK and KWTRP.
Please note that the recording link will be listed on this page when available