MST-Department of Geography
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Browsing MST-Department of Geography by Subject "Bomet County"
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Item Determinants of Infant Mortality Rate in Chepalungu Bomet County, Kenya(Kenyatta University, 2021) Mutai, Jane Chepkurui; Leonard M Kisovi; Francis O. OnsongoGlobally, the infant mortality rate is regarded as an important indicator of understanding population health and it stands as high as 31.9%. The rate varies substantially across the world with the highest found in sub-Saharan Africa. In Bomet, Infant Mortality Rate (IMR) stands higher compared with the national average. The high Infant Mortality Rate is said to have been attributed by various factors such as poor livelihood and health opportunities. These have a tendency of deteriorating living conditions leading to prevailing low standards of living and raised living costs which has risen cost of protein rich food rendering communities poor malnutrition and susceptible to infection. Despite the renewed focus and recent progress in infant mortality, achieving the sustainable development goal (SDG) target in infant mortality of 25 deaths per 1000 live births will be a challenge unless factors influencing infant mortality receive more attention. It has also been observed that infant mortality in Chepalungu Sub County is not an exemption since infant mortality in Bomet County is higher at 57 per 1000 compared with the National average of 54 per 1000. Therefore, the purpose of this study was to establish determinants of high infant mortality in Chepalungu sub-county. The study adopted a descriptive survey research design. Descriptive survey research design describes the distribution of and relationship among variables. The study targeted all household mothers in the reproductive ages 18-49 and key informants in Chepalungu sub-county. Purposive and Stratified simple random sampling techniques were used to select 381 mothers and 4 key informants in Chepalungu Sub-County. Data was collected using questionnaire and interview schedule. Quantitative data was analyzed using frequencies, percentages, and Chi-square test while qualitative data was coded, transcribed and organized thematically. The study findings may form a platform upon which demographic and health policy may be formulated and may be useful to other future researchers. The study concluded that high infant mortality was attributable to low level of education of the mothers, large household sizes, difficulty in access to health facilities, mothers‟ and spouses‟ incomes, place of delivery and type of marriage contrary, place for medical attention for infants does not have any effect on infant mortality. Further, environmental factors had a great bearing on infant health and as such explain infant mortality. The study recommends that the communities within Chepalungu Sub County ought to embrace family planning practices as a way to control their household numbers. This is because a household with few individuals is capable to meet medical needs thereby registering lower infant deaths. Study also recommended that residents in Chepalungu should be encouraged to engage in income generating activities besides subsistence farming. This will enable them to have some income necessary for providing for the infant needs including nutrition and medical needs. Furthermore, campaign programs should be designed with an aim of discouraging unfair cultural practices that promote infant mortality. Such campaigns can encourage the mothers to seek delivery at the health facilities. This can be done through community health volunteers, increasing number of dispensaries and providing ambulances. Lastly, the study recommended the need to conduct environmental education program targeting the mothers on the human waste disposal, safe drinking water and safe cooking fuel. Future research should be conducted to include: causes of infant mortality, biological factors influencing infant mortality and climatic determinants of infant mortality by region.Item Effects of Climate Variability on Tea Yields And Adaptation Strategies by Smallholder Farmers In Bomet County, Kenya(Kenyatta University, 2021) Agnes, Cherono; L.G. Makokha; A.N. MachariaChanges in weather elements such as temperature and rainfall have a strong influence on tea yields. The extent to which climate variability has impacted on tea yields, the main source of livelihood in Bomet Central sub-County is still not documented. To bridge that gap, this study investigated the effects of climate variability on tea yields and the adaptation strategies by smallholder farmers in Bomet Central sub-County, Bomet County. The data used in the study include: observed monthly rainfall and temperature for Bomet Central sub-County obtained from Bomet Water Supply Weather Station and monthly tea yields data for Kapkoros and Tirgaga tea Factories obtained from Kenya Tea Development Agency from 1993–2013. The research was based on a descriptive survey design with a target population of 10,800 tea farmers with a sample size of 130 respondents. Questionnaires were used to collect data on adaptation strategies and determinant factors influencing adaptation strategies from farmers in the study area. Regression analysis and descriptive statistical methods of data analysis were used. Regression analysis was used for time series rainfall, temperature and tea output data over the 21-year period. Descriptive analysis involved computation of frequencies, percentages, mean and standard deviation of the data on adaptation strategies used by smallholder tea farmers. The first objective was to evaluate the effects of rainfall and temperature variability on smallholder tea yields in Bomet Central sub-County from 1993–2013. The results showed that Bomet County experienced a slight increase in rainfall and temperature trend by 6.471mm and about 0.029oC respectively per year. Pearson correlation showed that there was a weak positive relationship between rainfall variability and tea yields R=0.122 (R2=0.015) and a strong positive relationship between temperature and tea yields R=0.908 (R2=0.825). The second objective of the study was to determine the adaptation strategies used by smallholder tea farmers in response to climate variability in Bomet Central sub-County. Weed management to reduce competition for moisture (78.9%) and proper drainage systems on long and steep slopes (47.7%) were the most common adaptation strategies. The third objective was to investigate the determinant factors that influenced the adaptation strategies used by smallholder tea farmers in Bomet Central sub-County. Gender, age, education level and household size were vital in facilitating adoption of better and affordable climate variability adaptation strategies which enhances smallholders’ tea production. Based on the findings, the study concluded that rainfall variability has negatively affected tea production in Bomet Central sub-County. The study also concluded that there was a positive correlation between temperature and tea yields. Majority of tea farmers have embraced at least one adaptation strategy to climate variability but confirmed that they had never been involved in climate variability adaptation planning beforehand. The study also revealed that education, age and gender significantly influenced a number of these adaptation strategies. The study recommends that farmers be advised to enhance the use mulching, planting drought resistant tea varieties, planting cover crops during young tea stage and regular weeding to mitigate the effects of Rainfall variability. The study also recommends that the County and National Government institutions need to enhance the adaptation strategies used by farmers by providing advice on the need to plant drought resistant varieties such as purple tea so as mitigate the effects of climate variability. Purple tea processing units should also be established in the existing factories to allow farmers earn more profit.