Spatio-temporal visualisation of disease incidence and respective intervention strategies

Abstract

The ability to effectively collect and leverage information offers rich new insights, which can greatly inform decision making within healthcare practice and health systems. In this study, we show how information can be collected, analysed and presented in new ways to inform key decision makers in understanding the prevalence of disease and the response to interventions. We demonstrate this for malaria, using data sources from Kenya, where malaria is one of the three biggest causes of mortality for children under the age of 5 in the sub-Saharan continent of Africa.