Towards a Spatial-Temporal Model of Prevalence of Nodding Syndrome and Epilepsy

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 275)


Nodding syndrome is an emerging disease which have unknown transmission patterns and no properly established mechanisms for diagnosis leading to numerous hypothetical postulations. It has affected thousands of children in Uganda with debilitating effect and serious economic consequences. Spatial-temporal analysis may provide a quick mechanism to establish comparative understanding of the various hypotheses ascribed to nodding syndrome and any other emerging diseases with similar clinical manifestation. There is considerable suspicion that “nodding syndrome is a form of epilepsy”, a hypothesis that has hardly been investigated in literature. The aim of the study described in this paper is to establish spatial-temporal relationships between ailments diagnosed as nodding syndrome and ailments diagnosed as epilepsy. An exploratory cross section survey in three districts of Northern Uganda was done. Spatial data of health centers were recorded and ArcGIS was used for display. The findings show significant spatial-temporal correlation of diagnosis reporting of nodding syndrome to epilepsy. The regression statistics overall, epilepsy significantly (p < 0.05) ex-plains about 58% of Nodding syndrome variability. The F-statistic shows a very highly significant value (p = 8.20481E-13; p < 0.05), meaning that the output of the regression is not by chance.


Nodding syndrome Emerging diseases Surveillance Spatial-temporal Geographic information system 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.College of Computing and Information SciencesMakerere UniversityKampalaUganda
  2. 2.Department of Computer ScienceGulu UniversityGuluUganda
  3. 3.Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden

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