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Demand for Malaria Prevention and Treatment among Households in the Federal Capital Territory, Nigeria

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Background: In Nigeria, malaria remains a public health concern, necessitating the examination of household spending on treatment and prevention. Despite various initiatives, Nigeria still has high malaria-related mortality, prompting this study to clarify the link between household demand for malaria treatment and prevention. The dependent variable is yearly malaria-related spending with independent variables are education, head of household income, age, environmental factor, spouse’s income and cost of prevention/treatment Method: Using primary and secondary data, this cross-sectional study gathered information through household observations and structured questionnaires. Of 400 samples distributed, 381 were completed and returned, focusing on household background and the demand for malaria treatment and prevention products. Results: The logit regression model analyzed the potential associations among variables such as age, household head income, spouse’s income, education, environmental factors, and malaria occurrence. It found that education and household head income were statistically significant at a p-value of 0.05, indicating a meaningful relationship with malaria incidence. No multicollinearity was detected among the variables. Conclusion: The study titled “Demand for Malaria Prevention and Treatment Among Households in the Federal Capital Territory, Nigeria” found that household income and education significantly influence spending on malaria prevention and treatment. These findings underscore the critical role of both education and economic capacity in shaping households’ efforts to combat malaria, emphasizing the need for policies that enhance these factors to improve malaria prevention and treatment outcomes.
Title: Demand for Malaria Prevention and Treatment among Households in the Federal Capital Territory, Nigeria
Description:
Background: In Nigeria, malaria remains a public health concern, necessitating the examination of household spending on treatment and prevention.
Despite various initiatives, Nigeria still has high malaria-related mortality, prompting this study to clarify the link between household demand for malaria treatment and prevention.
The dependent variable is yearly malaria-related spending with independent variables are education, head of household income, age, environmental factor, spouse’s income and cost of prevention/treatment Method: Using primary and secondary data, this cross-sectional study gathered information through household observations and structured questionnaires.
Of 400 samples distributed, 381 were completed and returned, focusing on household background and the demand for malaria treatment and prevention products.
Results: The logit regression model analyzed the potential associations among variables such as age, household head income, spouse’s income, education, environmental factors, and malaria occurrence.
It found that education and household head income were statistically significant at a p-value of 0.
05, indicating a meaningful relationship with malaria incidence.
No multicollinearity was detected among the variables.
Conclusion: The study titled “Demand for Malaria Prevention and Treatment Among Households in the Federal Capital Territory, Nigeria” found that household income and education significantly influence spending on malaria prevention and treatment.
These findings underscore the critical role of both education and economic capacity in shaping households’ efforts to combat malaria, emphasizing the need for policies that enhance these factors to improve malaria prevention and treatment outcomes.

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