Prospective Mapping of Schistosomian Risk by Markovian Modelling and Multi-criteria Analysis in Central Côte d'Ivoire

Gnahoua Guy Roger Gnazalé, Adonis Krou Damien Kouamé and Valère-Carin Jofack Sokeng
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Gnahoua Guy Roger Gnazalé: Virtual University of Côte d’Ivoire, Côte d’Ivoire
Adonis Krou Damien Kouamé: Center of Research and Remote Sensing Application (CURAT) / Félix Houphouët Boigny University, Côte d’Ivoire
Valère-Carin Jofack Sokeng: Virtual University of Côte d’Ivoire, Côte d’Ivoire

European Journal of Engineering and Technology Research, 2021, vol. 6, issue 7, 127-132

Abstract: The Bélier region and the autonomous district of Yamoussoukro, is a region of central Côte d'Ivoire that records every year cases of schistosomiasis contamination. Although the figures are low, this area is of interest for epidemiological control. The schistosomiasis infection with schistosoma haematobium or urinary bilharziasis is the most widespread and is important in some areas along the main rivers of the region. The development of maps of areas at risk schistosomiasis by 2027 by Markov modeling using Markov chains observable and by combining layers of sensitivity and vulnerability of 2027 of the infection show a change in the surface risk of contamination from 17% in 2017 to 23% in 2027 of the total area of the region. These areas are mainly located in the departments of Yamoussoukro, Toumodi and Djékanou. 15% of the localities in this region are high-risk areas in 2017 and 23% in 2027. The prediction of risk areas and localities at high risk of contamination by Markov modeling makes any preventive control strategy possible.

Keywords: Bélier; Mapping; markov; multicriteria analysis; schistosomiasis risk; Yamoussoukro (Côte d’Ivoire) (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:6:y:2021:i:7:id:62637

DOI: 10.24018/ejeng.2021.6.7.2637

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