CDT Postgraduate Studentship in Healthcare Innovation (RCUK Digital Economy Programme grant number EP/G036861/1)
Fusion of vital signs and biomarker information for detection and aetiology determination of infectious diseases in low-resource settings.
Pneumonia is the leading cause of death in children under five, with 1.1 million deaths annually - more than the combined burden of HIV/AIDS, malaria and tuberculosis for this age group; the majority of deaths occur in resource-limited settings. The goal of this project is to investigate to what extent pneumonia can be accurately diagnosed based on only a subset of physical signs that can be monitored in resource-constrained areas (e.g. fever, respiration rate, oxygen saturation...). However, diagnostic outcome from physical signs is insufficient for determining severity and aetiology of infection; consequently, the goal is to develop new models by integration of these physical signs with biomarkers.