Abstract:The study examined the utilization of insecticide treated bed nets for malaria prevention by rural farmers in Ahoada East Local Government Area of Rivers State, Nigeria. The sample size of the study was 100 respondents who were randomly selected from farmers in the area who benefited from the free distribution of the nets by Rivers State Government. The questionnaire was used in eliciting data from the respondents. Data were analyzed with percentage, mean score and multiple regression. Socio-economic result sh… Show more
“…The finding implies that relatively older rural farm households prefer ITNs to younger farm households in the rural areas of Akwa Ibom State, Nigeria. The finding was previously substantiated by Nlerum (2016). The marital status of the rural farming household heads indicates that, 9.23% of the rural farm household heads that used ITNs were single, whereas only 2.0% of non-users were single.…”
Section: Results and Discussion Socio-economic Characteristics Of Rur...mentioning
confidence: 64%
“…The findings revealed that there was no significant difference in the income of the beneficiaries and non-beneficiaries of the nets. In the southern region of Nigeria, Nlerum (2016) examined the utilization of insecticide-treated bed nets for malaria prevention by rural farmers in Ahoada East Local Government Area of Rivers State. The result revealed an ownership rate of 71.73% and a utilization rate of 28.27%.…”
The study compared the social and economic features of farm households that utilized insecticide treated nets and non-users in the rural areas of Akwa Ibom State. The cross-sectional data were collected from one hundred and eighty rural farming household heads. The descriptive tests and the bivariate t-test were used to analyze data collected. The result revealed that, about 72.22% of the rural farm households used ITNs in the study area. Moreover, the study established the fact that there were no significant differences between ITNs users and non-users in their gender, marital status, farming experience, social capital accumulation, education, access to extension agent, nature of residential building, value of household asset and non-farm income. Contrary to the above findings, a statistically significant difference was found in terms of age, household size, farm Income and farm size between the two groups. Following the findings, the study recommends a bottom-top approach that takes into consideration the social and economic matters of the rural farmers in planning the transfer of ITNs technology to the rural farmers in the region.
“…The finding implies that relatively older rural farm households prefer ITNs to younger farm households in the rural areas of Akwa Ibom State, Nigeria. The finding was previously substantiated by Nlerum (2016). The marital status of the rural farming household heads indicates that, 9.23% of the rural farm household heads that used ITNs were single, whereas only 2.0% of non-users were single.…”
Section: Results and Discussion Socio-economic Characteristics Of Rur...mentioning
confidence: 64%
“…The findings revealed that there was no significant difference in the income of the beneficiaries and non-beneficiaries of the nets. In the southern region of Nigeria, Nlerum (2016) examined the utilization of insecticide-treated bed nets for malaria prevention by rural farmers in Ahoada East Local Government Area of Rivers State. The result revealed an ownership rate of 71.73% and a utilization rate of 28.27%.…”
The study compared the social and economic features of farm households that utilized insecticide treated nets and non-users in the rural areas of Akwa Ibom State. The cross-sectional data were collected from one hundred and eighty rural farming household heads. The descriptive tests and the bivariate t-test were used to analyze data collected. The result revealed that, about 72.22% of the rural farm households used ITNs in the study area. Moreover, the study established the fact that there were no significant differences between ITNs users and non-users in their gender, marital status, farming experience, social capital accumulation, education, access to extension agent, nature of residential building, value of household asset and non-farm income. Contrary to the above findings, a statistically significant difference was found in terms of age, household size, farm Income and farm size between the two groups. Following the findings, the study recommends a bottom-top approach that takes into consideration the social and economic matters of the rural farmers in planning the transfer of ITNs technology to the rural farmers in the region.
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