INFLUENCE OF SOCIODEMOGRAPHIC CHARACTERISTICS AND LEVEL OF AWARENESS ON MALARIA DISEASE RESURGENCE AMONG THE ADULT RESIDENTS OF ISIOLO SUB-COUNTY IN KENYA
DOI:
https://doi.org/10.46827/ejphs.v5i2.134Keywords:
malaria, awareness, demographic characteristics, Isiolo CountyAbstract
Background: This study evaluated the determinants of malaria disease resurgence among the adult residents of Isiolo Sub-county in Kenya. The following specific objectives guided this research; to establish the influence of the level of awareness on malaria disease resurgence among the adult residents of Isiolo Sub-county in Kenya and to evaluate demographic characteristics influencing malaria disease resurgence among the adult residents of Isiolo Sub-county in Kenya. Methods: This was a descriptive study, employing a cross-sectional study design. The researcher used mixed research methodology in this study which employed both qualitative and quantitative methods. Stratified sampling techniques were used for sampling the study respondents. The residents of Isiolo Sub-county, key informant interviewers and NGOs/CBO based focus group discussion constituted the target population. The study respondents were selected from five different wards of Isiolo Sub-county with a Sample size of 392 comprised of 385 respondents randomly selected for quantitative data and 7 key informants and focus group discussion for qualitative data. The study used interview guides to collect data from key informants. Quantitative data were collected using self-administered questionnaires. SPSS version 25.0 was used in quantitative data analysis while qualitative data was analyzed thematically. Results: Respondents experienced malaria resurgence in the study as evidenced by knowledge of malaria disease symptoms, causative agents of malaria disease, mode of transmission, treatment and intervention strategies among others. The study established that all the characteristics considered in this study had some level of influence on the resurgence of malaria disease in the study site. Further, Regression analysis model had a R2 of +0.700, p=0.000 for awareness, and standardized beta co-efficient of +0.593, p=0.000 for demographic, showing statistically significant positive influence on malaria resurgence in Isiolo sub-county. The study Policy makers in Isiolo Sub-county should consider formulating policies that support education for the residents since a big percentage 58% had not attended any form of schooling. The researcher recommended that Policy makers and NGOs/CBOs sought to allocate additional resources in support of educating residents about malaria disease and how to control it.
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