Spatiotemporal Relationship between Variability in Selected Climate Parameters and Malaria Transmission Trends in Different Altitudes of Lower Lake Victoria Basin

Registration ID: IJNRD_212251

Published ID: IJNRD2401106

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Samwel Odhiambo Olela , Professor George L. Makokha , Doctor Kennedy Obiero , Professor George L. Makokha , Doctor Kennedy Obiero

Key words Selected climate parameters, malaria transmission, Lower Lake Victoria Basin, Climate variability, Different altitudes

Abstract: Consequences of Global Climate Variability and Change are among the biggest environmental threats and challenges the world is facing. Malaria burden is greatest in developing countries of the tropics especially Africa south of the Sahara. In Kenya, it is blamed on high rainfall, temperature and relative humidity. This study investigated spatiotemporal relationship between variability in selected climate parameters and malaria transmission in different altitudes of lower Lake Victoria Basin, Kenya. The study used secondary data archived at sampled meteorological stations and health facilities. Flooded sampling of malaria morbidity cases from health facilities within selected sub - counties in three sampled counties was obtained from Kenya Health Information System (KHIS) for ten years (2011 - 2020). Meteorological data was obtained for twenty years (2001 - 2020) except for Kisumu Relative Humidity which was only available for 12 years (2009 - 2020). Pearson’s moment correlation coefficient and regression were used to establish the strength of the relationship between malaria transmission, climate elements and altitude. Given temperature ranging between 22.52 0 C – 23.77 0 C, RH of 58.77% - 67.74% and a mean annual rainfall of 1844.57, the study area was found to be well within climatic threshold for endemic malaria transmission. When correlated and regressed, none of the climate parameters revealed significant relationship with malaria transmission except monthly temperature and monthly malaria transmission in Migori County. Transmission significantly decreased with increase in altitude. All climate variables were eliminated leaving only altitude as the significant spatial determinant of malaria transmission. Climate therefore remained an insignificant spatiotemporal determinant of variability in malaria transmission in the study area. Spatiotemporal Variability of Malaria transmission was significantly defined by altitude and proximity to the lake. This made the study zone LLVB, Kenya into three based on altitude and malaria transmission rates as follows: 1001m to 1200m – high transmission zones; 1201 to 1400 - medium transmission zones; 1401 to 1600 – low transmission zones. Meteorologists and the Medics should combine efforts to put remedial measures in place depending on altitude and time of the year. There is need to find out why some parts should experience upsurge while others like Migori County are experiencing reduction. These recommendations were necessary in the LLVB, Kenya for the realization of Kenya’s vision 2030.

Published Paper   E-Certificate

Samwel Odhiambo Olela, Professor George L. Makokha, Doctor Kennedy Obiero, Professor George L. Makokha, & Doctor Kennedy Obiero (January-2024). Spatiotemporal Relationship between Variability in Selected Climate Parameters and Malaria Transmission Trends in Different Altitudes of Lower Lake Victoria Basin. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), b34-b51. https://ijnrd.org/papers/IJNRD2401106.pdf

Volume 9 Issue 1, January-2024

Pages : b34-b51

Paper Reg. ID: IJNRD_212251

Published Paper Id: IJNRD2401106

Downloads: 000121979

Research Area: Social Science and Humanities 

Country: Sare - Awendo, Migori, Kenya

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401106.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401106

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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