ANALYSIS OF SPATIAL PATTERNS OF MALARIA PREVALENCE IN BORNO STATE, NIGERIA
Journal Title: Academic Research International - Year 2018, Vol 9, Issue 2
Abstract
This paper focuses on the spatial distribution of malaria prevalence between 2011 and 2013 in the twenty four LGAs in Borno State. Data on malaria prevalence within the study period (consisting both outpatients and inpatients) which were categorized into under five years old, above five, pregnant women and numbers of dead in each category within the study period were obtained from Borno State Epidemiological Unit, Maiduguri for this study. A digital map of Borno State showing the twenty four LGAs was also generated using Geographic Information System technique. The data was integrated with the digital map to assess the spatial patterns of prevalence of malaria in Borno State. The prevalence was categorized into very high, high, marginally high and low based on the reported malaria cases in each of the three years of study (2011-2013). The study revealed that in 2011, only Maiduguri Metropolitan Council and Jere LGA recorded very high prevalence. However in 2012 and 2013, Ngala LGA joined MMC and Jere as the third LGA with very high prevalence. Among the pregnant women, MMC and Jere LGAs had very high prevalence while the prevalence was found to be high in Kaga and Ngala LGAs. Very high prevalence of the dead among the pregnant women was found in Bama, Bayo and Dikwa LGAs with high category in Askira Uba, Kwaya Kusar and Mobbar LGAs. In the under-five category, MMC and Jere had very high prevalence while Kaga, Ngala, Gwoza and Bayo were in the high category. However, Damboa and Mobbar LGA was in the very high category in the dead among the under-five with nine other LGAs belonging to the high category. It was recommended that all the LGAs that fall within the very high and high categories should be given higher priorities than those in the lower categories, while the causes of the revealed spatial pattern was recommended for further study.
Authors and Affiliations
Akawu Cecilia, Ikusemoran Mayomi, Ballah Akawu Denue
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