Exploratory GIS-based Mapping and Analysis of Chronic Kidney Disease Incidences in Gashua Town, Yobe State, Nigeria

Modibbo Babagana-Kyari *

Department of Geography, Yobe State University, KM 7 Gujba Road, Damaturu, Yobe State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

Northern Yobe State, particularly Gashua town, has been known as a hotspot of chronic kidney disease of unknown origin for decades. Little is known about the spatial epidemiology of the disease in the area. Therefore, this study is aimed at understanding the spatial dimension of the disease so as to ease the efforts of scouting the disease etiology, which is still unknown. To achieve the study aim, a community-centric approach was used in which a multi-stage purposive sampling method was employed to select the study area (Gashua town) in northern Yobe. The Yobe State Geographic Information Services (YOGIS)’s House Enumeration Area for the 2020 DLI 11.3 project was purposely adopted as spatial units for the data collection. Snow-balling sampling technique was used in surveying the disease incidences in the community. The survey lasted for three months, and 1,855 cases (including both morbidity and mortality incidences) were collected out of which 630 medically confirmed cases were sorted for the analysis. Android-based Kobotoolbox and QField app were used during the data collection exercise. Global Moran’s 1 index of Arcgis Pro 2.4 was used to analyze the spatial distribution patterns of the disease incidences using 250-meter hexagonal tessellation surfaces. Standard deviation and dot-size thematic data classification were used in analyzing the disease incidences. Findings reveal statistically significant CKD hotspots with a p-value (significant value) of 0.01 and a z-value (critical value) of 2.58, indicating a high degree of incidence clustering in locales such as Zango (29.68%), Sabon-Gari (27.14%), Lawan Fannami (19.2%) and Lawan Musa (12.86%), respectively. The CKD prevalence is largely among 15-75 year-old men. The 33% of the CKD victims’ households reported their incidences as “undefined kidney disease", while only 4% reported their cases as ‘Diabetic Kidney Disease’. Accordingly, 46.3% of the victims' households suspect drinking water as the potential risk factor for the disease. However, further investigation in the identified hotspots is recommended to understand people’s lifestyles, biomedical characteristics and drinking water quality. This study simply provides a bird's-eye view of community-based prevalence mapping of chronic kidney disease incidences (including morbidities and mortalities). Overall, findings derived from this study will guide subsequent investigations as it has highlighted the hotspots for the disease in the area.

Keywords: Kidney disease, clustering, spatial autocorrelation, CKDu, bade, disease mapping, tessellation, spatial epidemiology


How to Cite

Babagana-Kyari, Modibbo. 2023. “Exploratory GIS-Based Mapping and Analysis of Chronic Kidney Disease Incidences in Gashua Town, Yobe State, Nigeria”. International Journal of Advances in Nephrology Research 6 (1):31-45. https://journalijanr.com/index.php/IJANR/article/view/40.

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References

Gifford FJ, Gifford RM, Eddleston M, Dhaun N. Endemic nephropathy around the world. Kidney International Reports. 2017;2(2):282-92.

Obrador GT, Levin A. CKD hotspots: Challenges and areas of opportunity. In Seminars in Nephrology. WB Saunders. 2019;39(3):308-314.

Kalantar-Zadeh K, Jafar TH, Nitsch D, Neuen BL, Perkovic V. Chronic kidney disease. The Lancet. 2021;398(10302): 786-802.

Lunyera J, Mohottige D, Von Isenburg M, Jeuland M, Patel UD, Stanifer JW. CKD of uncertain etiology: A systematic review. Clinical journal of the American Society of Nephrology. 2016;11(3):379-85.

Oluyombo R, Oguntade HB, Soje M, Obajolowo O, Karim M. Obesity and ckd in Sub-Saharan Africa: A narrative review. Kidney Medicine. 2022;4(2):100403.

Babagana-Kyari M, Kazeem MK, Jajere AA. The chronic kidney disease of unknown aetiology (CKDu) epidemics in northern Yobe state: The missing research gap. African Journal of Health, Safety and Environment. 2022;3(2):31-45.

Kulathunga MR, Ayanka Wijayawardena MA, Naidu R, Wijeratne AW. Chronic kidney disease of unknown aetiology in Sri Lanka and the exposure to environmental chemicals: A review of literature. Environmental Geochemistry and Health. 2019;41:2329-38.

Jayasekara KB, Kulasooriya PN, Wijayasiri KN, Rajapakse ED, Dulshika DS, Bandara P, Fried LF, De Silva A, Albert SM. Relevance of heat stress and dehydration to chronic kidney disease (CKDu) in Sri Lanka. Preventive Medicine Reports. 2019;15:100928.

Abdul KS, De Silva PM, Ekanayake EM, Thakshila WA, Gunarathna SD, Gunasekara TD, Jayasinghe SS, Asanthi HB, Chandana EP, Chaminda GG, Siribaddana SH. Occupational paraquat and glyphosate exposure may decline renal functions among rural farming communities in Sri Lanka. International Journal of Environmental Research and Public Health. 2021;18(6):3278.

Wasana HM, Aluthpatabendi D, Kularatne WMTD, Wijekoon P, Weerasooriya R, Bandara J. Drinking water quality and chronic kidney disease of unknown etiology (CKDu): Synergic effects of fluoride, cadmium and hardness of water. Environmental Geochemistry and Health. 2016;38:157-168.

Fernando BN, Sudeshika TS, Hettiarachchi TW, Badurdeen Z, Abeysekara TD, Abeysundara HT, Jayasinghe S, Ranasighe S, Nanayakkara N. Evaluation of biochemical profile of chronic kidney disease of uncertain etiology in Sri Lanka. Plos One. 2020;15(5):e0232522.

Udeshani WC, Koralegedara NH, Gunatilake SK, Li SL, Zhu X, Chandrajith R. Geochemistry of groundwater in the semi-arid crystalline terrain of Sri Lanka and its health implications among agricultural communities. Water. 2022;14 (20):3241.

Vlahos P, Schensul SL, Anand S, Shipley E, Diyabalanage S, Hu C, Ha T, Staniec A, Haider L, Schensul JJ, Hewavitharane P. Water sources and kidney function: investigating chronic kidney disease of unknown etiology in a prospective study. NPJ Clean Water. 2021;4(1):50.

Wimalawansa SJ. The role of ions, heavy metals, fluoride, and agrochemicals: Critical evaluation of potential aetiological factors of chronic kidney disease of multifactorial origin (CKDmfo/CKDu) and recommendations for its eradication. Environmental Geochemistry and Health. 2016;38(3):639-78.

Sderland P, Lovekar S, Weiner DE, Brooks DR, Kaufman JS. Chronic kidney disease associated with environmental toxins and exposures. Advances in Chronic Kidney Disease. 2010;17(3):254-64.

Anand S, Staniec A, Montez-Rath M, Vlahos P. Using GIS mapping to track hot spots of kidney disease in California. New England Journal of Medicine. 2020;382 (23):2265-7.

Ahmed SD, Agodzo SK, Adjei KA, et al. Preliminary investigation of flooding problems and the occurrence of kidney disease around Hadejia-Nguru Wetlands, Nigeria and the need for an ecohydrology solution. Ecohydrology & Hydrobiology. 2018;18(2):212-24.

Marcus F. Kidney failure kills over 150 yearly in Gashua, Senate President’s hometown. ICIR; 2022.

Available:https://www.icirnigeria.org/kidney-failure-kills-over-150-yearly-in-gashua-senate-presidents-hometown-medical-expert/

Sulaiman MM, Shettima J, Ndahi K, Abdul H, Mohammed MB, Ummate I, Hussein K. Chronic kidney disease of unknown origin in Northern Yobe, Nigeria: Experience from a regional tertiary hospital in Northeastern Nigeria. Borno Med J. 2018;16:1-8.

Waziri M, Lawan MM. Incidence of lead and cadmium in vegetables and their potential health risks to consumers in Gashua, Yobe, Nigeria. In Proceedings of 65th ISERD International Conference, Mecca, Saudi Arabia, 23rd-24th January 2017.

Gashua MM, Kabir J, Suleiman MM, Abdulrahman HI. A baseline study for cadmium concentrations in blood of goats in some communities of bade, Northern yobe, Nigeria. Asian J. Res. Anim. Vet. Sci. 2018;2:1-0.

Oyekanmi A, Okibe F, Dauda WP. Toxic elements levels in water and some vegetable crops grown in farms in Bade Local Government area of Yobe state, Nigeria. Asian J. Phys. Chem. Sci. 2018; 6:1-2.

Liu R, Yang H. Spatial tessellation of infectious disease spread for epidemic decision support. IEEE Robotics and Automation Letters. 2021;7(1):626-33.

Tim US. The application of GIS in environmental health sciences: Opportunities and limitations. Environmental Research. 1995;71(2):75-88.

Lin CH, Wen TH. How spatial epidemiology helps understand infectious human disease transmission. Tropical Medicine and Infectious Disease. 2022; 7(8):164.

Murad A, Khashoggi BF. Using GIS for disease mapping and clustering in Jeddah, Saudi Arabia. ISPRS International Journal of Geo-Information. 2020;9(5):328.

VanDervort DR, López DL, Orantes CM, Rodríguez DS. Spatial distribution of unspecified chronic kidney disease in El Salvador by crop area cultivated and ambient temperature. MEDICC review. 2014;16:31-8.

Sanati NA. Chronic kidney disease mortality in Costa Rica. Geographical Distribution, Spatial Analysis and Non-traditional Risk Factors; 2015.

Alkali AG. River-aquifer interaction in the Middle Yobe River Basin, North East Nigeria; 1995.

Jajere AA, Abbas AM, Abdu A. Rainfall recovery in North-East Arid Zone of Nigeria: Comparative analysis of drought and post drought decades. Asian Journal of Geographical Research. 2021:1-6.

Gobalarajah K, Subramaniam P, Jayawardena UA, et al. Impact of water quality on chronic kidney disease of unknown etiology (CKDu) in Thunukkai division in Mullaitivu District, Sri Lanka. BMC nephrology. 2020;21(1):1-1.