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Browsing Publications by Author "Aturinde, Augustus"

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    Spatiotemporal Analysis of Nodding Syndrome in Northern Uganda 1990-2014
    (Scientific Science Publishing, 2020-02-17) Ongaya, Kizito; Aturinde, Augustus; Farnaghi, Mahdi; Mansourian, Ali; Maiga, Gilbert; Oyo, Benedict; Bagarukayo, Emily
    The emergence of nodding syndrome (NS) in Northern Uganda has generated controversial views with respect to patterns, natural history, and aetiology of the disease which is yet unknown. This study explored spatial patterns of NS using spatialtemporal methods to establish its clustering patterns across both space and time. Village and year of NS onset for individual patients between the years 1990 and 2014 were entered as input for spatial and temporal analysis in the 6 districts in northern Uganda where it is prevalent. Our temporal results showed that NS onset started before the population was moved in Internally Displaced People’s (IDPs) ca mps. It also shows that NS continued to be reported during the IDPs and after people had left the IDPs. Our spatial and spatiotemporal analysis showed that two periods had persistent NS clusters. These were 2000-2004 and 20102014, coinciding with the peri od when the population was in the IDP camps and when the population was already out of the camps, respectively. Our conclusion is that the view of associating NS outbreak with living conditions in IDP camps is thus coincidental. We, therefore, contend that the actual aetiological factor of NS is still at large.
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    Towards a Spatial-Temporal Model of Prevalence of Nodding Syndrome and Epilepsy
    (Springer, 2019) Ongaya, Kizito; Ssemalullu, Paul; Oyo, Benedict; Maiga, Gilbert; Aturinde, Augustus
    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.