Mapping the Prevalence of Pneumonia in Abuja Federal Capital Territory Nigeria using GIS

International Journal of Geoinformatics and Geological Science

© 2021 by SSRG - IJGGS Journal

Volume 8 Issue 1

Year of Publication : 2021

Authors : Mariam Sagir, Ifeatu Enedah, Matthew Ono, Johnbosco Ojiako, Esomchukwu Igbokwe

10.14445/23939206/IJGGS-V8I1P106

How to Cite?

Mariam Sagir, Ifeatu Enedah, Matthew Ono, Johnbosco Ojiako, Esomchukwu Igbokwe, "Mapping the Prevalence of Pneumonia in Abuja Federal Capital Territory Nigeria using GIS," SSRG International Journal of Geoinformatics and Geological Science, vol. 8,  no. 1, pp. 48-55, 2021. Crossref, https://doi.org/10.14445/23939206/IJGGS-V8I1P106

Abstract:

The Federal Capital Territory (FCT) of Nigeria, Abuja, has experienced a lot of explosion of population in recent years. This has led to complicated health issues like the prevalence of epidemic and endemic diseases. A proper understanding of this disease prevalence is essential; knowledge of the spatial occurrence of these diseases is a must for rational planning and management. This study aimed at mapping the spatial distribution of pneumonia occurrence in FCT Abuja, Nigeria, to identify the rate of occurrence and rate of change over the years. Data on pneumonia occurring in the FCT were collected from the Health and Human Services Secretariat of the Federal Capital Territory Administration (FCTA). The administrative map of Abuja and the Area Councils were digitized to obtain shapefiles of the boundaries of the area councils. A geospatial database was created, and pneumonia occurrence in the study area was mapped using choropleth maps and bar graph in the ArcMap 10.7 environment. The results show that Bwari and Abuja Municipal Area councils recorded the overall highest cases of Pneumonia over the 8-year study period. The trend analysis of pneumonia occurrence in Abuja suggests a progressive decline in the number of cases recorded with an average decrease rate of -16.15%.

Keywords:

Geographic Information System, Spatial Spread, Pneumonia.

References:

[1] Cromley, E. K, and McLafferty, S. L., GIS, and public health. New York, NY: The Guildford Press, (2002).
[2] Environmental Systems Research Institute, (Esri) Early Detection and Response to Infectious Disease. GIS Best Practices, (2009).
[3] Koch T., Cartographies of Disease: Maps, Mapping, and Medicine. Redlands, CA: ESRI Press; (2005).
[4] Mills A. and Shillcutt S., The Challenge of Communicable Diseases. Copenhagen Consensus project, UK,(2004).
[5] Tao M., Using Cartograms in Disease Mapping, Dissertation Submitted in requirements for the degree of Doctor of Philosophy to the University of Sheffield School of Geography, (2010).
[6] World Health Organization and American Centres for Disease Control and Prevention., Technical Guidelines for Integrated Disease Surveillance and Response in the African Region, (2010).