Determinants of Malaria Incidence and Its Effects on Households’ Welfare
This study examined the factors influencing malaria incidence and its impact on household welfare in Wukari Local Government Area (LGA), Taraba State, Nigeria. The specific objectives included describing the socio-economic characteristics of respondents, analyzing farmers based on days of incapacita...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Research and Publishing UG (i. G.)
2025-07-01
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| Series: | Health Economics and Management Review |
| Subjects: | |
| Online Access: | https://armgpublishing.com/wp-content/uploads/2025/07/HEM_2_2025_9.pdf |
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| Summary: | This study examined the factors influencing malaria incidence and its impact on household welfare in Wukari Local Government Area (LGA), Taraba State, Nigeria. The specific objectives included describing the socio-economic characteristics of respondents, analyzing farmers based on days of incapacitation, estimating the economic burden of malaria on household welfare, assessing the effects of malaria on households, identifying factors affecting malaria incidence rates, and exploring coping strategies used during malaria outbreaks. A multistage sampling technique was utilized to gather primary data from 151 respondents residing in six out of the ten wards in the LGA, using structured questionnaires. Data collected included total income lost due to malaria and treatment costs. The analysis employed descriptive statistics, a Logit regression model, and a multiple regression model. Results indicated that the average age of respondents was 46 years, with 64.9% male and 72.2% married. Education levels varied, with 39.1% having tertiary education, 37.1% secondary education, 14.6% primary education, and 3.9% lacking formal education. Most respondents operated farms ranging from 0-4 hectares, predominantly inherited, with 49.7% engaged in farming. The mean direct and indirect costs of malaria treatment were ₦9964.28 and ₦5457.43, respectively. Multiple regression analysis revealed that household size, self-medication, income, and education level significantly influenced malaria incidence. The Logit regression indicated that farm size, food expenditure, total days incapacitated by malaria, and age were significant factors, while non-food expenditure, treatment costs, and marital status showed no significant effect. The study recommends enhanced public awareness through the "Roll Back Malaria Campaign" and the provision of subsidized treated mosquito nets for arable farmers. It also emphasizes the importance of maintaining clean environments, particularly in rural farming communities. |
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| ISSN: | 2786-4626 2786-4634 |