American Journal of Earth Science and Engineering  
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Application of Analytical Hierarchy Process Techniques in Assessing Malaria Risk Transmission Areas in Gombe Metropolis, Gombe State, Nigeria
American Journal of Earth Science and Engineering
Vol.3 , No. 1, Publication Date: Feb. 3, 2020, Page: 1-7
2518 Views Since February 3, 2020, 541 Downloads Since Feb. 3, 2020
 
 
Authors
 
[1]    

Yila Caiaphas Makadi, Department of Geography, Gombe State University, Gombe, Nigeria.

[2]    

Samuel Sulei, Department of Geography, Gombe State University, Gombe, Nigeria.

[3]    

Elnafaty Aliyu, Department of Geography, Gombe State University, Gombe, Nigeria.

 
Abstract
 

The research focused on the application of AHP method in assessing malaria risk transmission areas in Gombe metropolis, Gombe State Nigeria. The integrated Geospatial and Multi-Criteria Evaluation (AHP) technique was used to determine malaria risk zones. The influences of physical environmental factors viz., drainage, elevation, and slope were utilized in scoring their shares in the evaluation of risk condition. This was synthesized on the basis of preference over each factor and the total weights of each data and data layer were computed and visualized. A model builder in Arc GIS and AHP Khaskia Software were used to facilitate the overall malaria risk assessment of the factors involved. The study revealed that there are three zones: high, moderate and low malaria risk transmission areas. It was observed too that that a geographical area of 1201.10 hectares having 22% fall is the high risk zone comprising Arawa, Nasarawo and Herwa Gana; 3031.84 hectares with 57% made up the moderate zone and consisted of Shamaki, Pantami and GRA while 1124.9 hectares with 21% and was the low risk zone of Tunfure, Federal Lowcost and New GRA). The risk zones identified on the basis of these parameters and assigned weights shows a close resemblance with ground condition. The study demonstrates the significance and prospect of integrating Geospatial tools and Analytical Hierarchy Process for malaria risk zones and dynamics of malaria transmission. The research recommends the consideration of the geographic variation of malaria risk in Gombe metropolis for government efforts and the design of interventions vital for reducing this menace.


Keywords
 

Malaria Risk, GIS, ArcMap Model Builder, Spatial Multicriteria Evaluation Technique


Reference
 
[01]    

Akpama, (2010), The Limits and Intensity of Plasmodium falciparum Transmission: Implications for Malaria Control and Elimination Worldwide.

[02]    

Ahmed, A., (2014), Geographic Information Science and Remote Sensing for Malaria Risk Mapping, Ethiopia. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-8, 2014 ISPRS Technical Commission VIII Symposium, 09 – 12 December 2014, Hyderabad, India.

[03]    

Bates I, Fenton C, Gruber J, Lalloo D, Lara AM, Squire SB, et al. Vulnerability to malaria, tuberculosis, and HIV/AIDS infection and disease. Part 1: determinants operating at individual and household level. Lancet Infect Dis. 2004; 4: 267–77. doi: 10.1016/S1473-3099(04)01002-3.

[04]    

Khaskia M. A. AHP Khaskia Software (2013).

[05]    

Gething PW, et al. (2010), a new world malaria map: Plasmodium Falciparum Endemicity in. Malar J. 2011; 10: 378.

[06]    

Gahutu J. B, et al. (2011) Prevalence and risk factors of Malaria among Children in Southern Highland Rwanda. Malar J.; 18 (10): 134.

[07]    

Gunawardena, DM. et al. (1994). Patterns of Acquired Anti-malarial Immunity in Sri Lanka. Mem. Inst. Oswaldo Cruz, 89: 61-63.

[08]    

Gething PW, et al (2010) Climate Change and the Global Malaria Recession. Nature. 465 (7296): 342–50.

[09]    

Hay SI, et al. (2004), the Global Distribution and Population at Risk of Malaria: Past, Present, and Future. Lancet Infect Dis.; 4 (6): 327–36.

[10]    

Ribera JM, Hausmann-Muela S. The straw that breaks the camel’s back. Redirecting health-seeking behavior studies on malaria and vulnerability. Med Anthropol Q. 2011; 25 (1): 103–21. doi: 10.1111/j.1548-1387.2010.01139.x.

[11]    

Saaty, T. L., (1977). A Scaling Method for Priorities in Hierarchical Structures. Journal of Math. Psychology, 15: 234-281.

[12]    

Singer BH, Castro MC. Reassessing multiple-intervention malaria control programs of the past: Lessons for the design of contemporary interventions. In: Selendy J, editor. Water and Sanitation Related Diseases and the Environment: Challenges, Interventions and Preventive Measures. Hoboken, New Jersey: John Wiley & Sons, Inc; 2011. pp. 151–166.

[13]    

WHO, (2005). World malaria report. World Health Organization, Geneva, Switzerland.

[14]    

WHO, (2006). The Africa Malaria Report. World Health Organization.

[15]    

WHO/UNICEF, (2003). The Africa Malaria Report. WHO/ CDS/MAL/2003.1093. World Health.





 
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