Spatio-temporal information and knowledge representation of disease incidence and respective intervention strategies

Matthew Davis, Stefan Von Cavallar, Kelly L. Wyres, Matthias Reumann, Martin J. Sepulveda, Priscilla Rogers

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


The supplementation of medical data with environmental data offers rich new insights that can improve decision-making within health systems and the healthcare profession. In this study, we simulate disease incidence for various scenarios using a mathematical model. We subsequently visualise the infectious disease spread in human populations over time and geographies. We demonstrate this for malaria, which is one of the top three causes of mortality for children under the age of 5 years in sub-Saharan Africa, and its associated interventions within Kenya. We demonstrate 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.

Original languageEnglish
Title of host publicatione-Health - For Continuity of Care - Proceedings of MIE 2014
EditorsLouise Pape-Haugaard, Brigitte Seroussi Brigitte, Osman Saka, Christian Lovis, Arie Hasman, Stig Kjaer Andersen
PublisherIOS Press
Number of pages5
ISBN (Electronic)9781614994312
ISBN (Print)9781614994312
Publication statusPublished - 1 Jan 2014
Externally publishedYes
EventMedical Informatics in Europe Conference (MIE) 2014 - Istanbul, Türkiye
Duration: 31 Aug 20143 Sept 2014
Conference number: 25th

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS press
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


ConferenceMedical Informatics in Europe Conference (MIE) 2014
Abbreviated titleMIE 2014
Internet address


  • Healthcare and health systems
  • mathematical modelling
  • visualisation

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