Spatial-temporal Analysis of Tuberculosis Incidence in Burundi Using GIS
Central African Journal of Public Health
Volume 5, Issue 6, December 2019, Pages: 280-286
Received: Oct. 8, 2019; Accepted: Oct. 29, 2019; Published: Nov. 5, 2019
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Prosper Masabarakiza, Faculty of Health Sciences, University of Martin Lutter King, Bujumbura, Burundi
Mahmoud Adel Hassaan, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
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Tuberculosis is one of the most contagious diseases that has been present for over 5000 years and it is still one of the most significant public health problems. This paper is intended to employ GIS in analyzing spatial variations of tuberculosis incidence in Burundi highlighting the main hot spots. Also, the paper aims to evaluate the temporal changes of TB incidence during the period 2009-2017 and guide the resource allocation. For this purpose, data on tuberculosis incidence at both province and health district level were analyzed. Data on incidence rate of TB and demographic data were collected at province level. Also, data on cases of TB recorded at health district level were acquired. The collected data were analyzed at both temporal and spatial scale. Temporal analysis involved identifying the various trends of TB incidence rate in various Burundi provinces during the period 2009-2017. Spatial analysis comprised mapping spatial variations in TB incidence rates and their trend over the period 2009-2017 and TB incidence at health district level. Moreover, Hot Spot analysis was performed to delineate those districts of statistically significant hot spots in TB incidence in Burundi. The temporal analysis of TB incidence rate, at province level, revealed that during the period 2009-2017, Burundi provinces have experienced varied trends of TB incidence with an annual change rate ranging between (-32.9) and (+5.22) in case of TB in all clinical forms and between (-12.2) and (+1.1) in case of Pulmonary TB. TB incidence rates were found to be positively correlated with proportion of urban population and population density. Meanwhile, spatial analysis of TB cases, revealed that eastern parts of Burundi have been experiencing relatively low incidence rates of TB compared to other parts of the country. This was highlighted by Hot Spot analysis that revealed a tendency of Pulmonary TB cases to be clustered and a hot spot in Pulmonary TB incidence was clearly distinguished in western parts of Burundi. Spatial temporal analysis highlights the potentials of GIS in recognizing trends and spatial pattern of such a disease and may support designing and implementing control programs and guide the resource allocation.
Tuberculosis, GIS, Spatial-temporal Analysis, Hot Spot Analysis
To cite this article
Prosper Masabarakiza, Mahmoud Adel Hassaan, Spatial-temporal Analysis of Tuberculosis Incidence in Burundi Using GIS, Central African Journal of Public Health. Vol. 5, No. 6, 2019, pp. 280-286. doi: 10.11648/j.cajph.20190506.19
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Ahmed, A., et al., Incidence and determinants of tuberculosis infection among adult patients with HIV attending HIV care in north-east Ethiopia: a retrospective cohort study. BMJ Open, 2018. 8: e016961.
Harling, G., et al., Determinants of tuberculosis transmission and treatment abandonment in Fortaleza, Brazil. BMC Public Health, 2017. 17 (1): p. 508.
WHO, W. H. O., Global tuberculosis report 2018. 2018: Geneva. p. 277.
Ananthakrishnan, R., et al., Expenditure Pattern for TB Treatment among Patients Registered in an Urban Government DOTS Program in Chennai City, South India. Tuberc Res Treat, 2012. 2012: p. 747924.
Dye, C., et al., Trends in tuberculosis incidence and their determinants in 134 countries. Bulletin of the World Health Organization, 2009. 87 (9): p. 683-691.
Ravichandran, N., Tuberculosis Control in developing countries: A Generalized Community Health Worker Based Model. 2004, Indian Institute of Management: Ahmedabad.
Macintyre, K. and B. Mwangi, Expenditure reported by national Tuberculosis programs in 22 high burden countries between 2010 – 2012: what is the Global Fund’s contribution? 2014, Aidspan: Nairobi.
UN, U. N., Sustainable Development Goals. 2015, United Nations.
Williams, E. A. and E. A. Wentz, Pattern Analysis Based on Type, Orientation, Size, and Shape. Geographical Analysis, 2008. 40 (2): p. 97-122.
Jacquez, G., D. Greiling, and A. Kaufmann, Spatial pattern recognition in the environmental and health sciences: a perspective, in GEOIDE Workshop. 2001, Terra Seer: Quebec City, Canada p.
Partilla, M. The uses of mapping in improving management and outcomes of tuberculosis control programs: an overview of available tools. 2008 [cited 2018 17 October]; 18]. Available from:
MSPLS, M. d. l. S. P. e. d. l. l. c. l. S., Plan stratégique de lutte contre la tuberculose 2011-2015. 2010: Bujumbura.
IHME, I. f. H. M. a. E. Burundi. 2018 [cited 2018 5 November]; Available from:
MSPLS, M. d. l. S. P. e. d. l. l. c. l. S., Programme National lèpre Tuberculose Rapport Annuel 2017. 2017: Bujumbura.
Moise, I. K., et al., Seasonal and Geographic Variation of Pediatric Malaria in Burundi: 2011 to 2012. Int J Environ Res Public Health, 2016. 13 (4): p. 425.
MSPLS, M. d. l. S. P. e. d. l. l. c. l. S., ANNUAIRE STATISTIQUE SANITAIRE 2016. 2016: Bujumbura.
City Population. Burundi: Provinces, major cities & urban localities 2019 [cited 2019 8 June]; Available from:
Lonnroth, K., et al., Drivers of tuberculosis epidemics: the role of risk factors and social determinants. Soc Sci Med, 2009. 68 (12): p. 2240-6.
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