Abstract:In developing countries, the impact of malaria on human health, productivity and human development is well profound. It possesses serious challenge to the survival of several vulnerable poor, whose livelihood depends solely on agriculture. This study was carried out to examine the impact of malaria on the productivity of arable crop farmers and further estimate the cost implication of malaria (direct and Indirect) in rural Nigeria. Data were collected from a random sample of 91 crop farmers through the use of … Show more
“…This implied that income loss to malaria among rural farming households tends to be an economic burden and has widely reduced the efficiency of the rural farming households as there will be unproductive income diversification in which resources are diverted to treating the endemic disease. This is in line with Ogunniyi, Kehinde, and Adewuyi, (2015) in their work which stated that income loss has an inverse relationship with the productivity of rural farming households. Furthermore, Oyibo et al, (2020) also stated that the income loss of farming households could lead to households reducing farm area and planting less laborintensive crops.…”
The study was carried out to analyze the effect of malaria on rural households' farm income in Barikin Ladi Local Government Area, Plateau State, Nigeria. Data were obtained from a multi-stage random sampling of one hundred and sixty-five rural farming household heads through the use of a wellstructured questionnaire. The data were analyzed using descriptive statistics and linear regression analysis. The descriptive statistics results showed that a majority of the respondents were male (73.9%), between the age brackets of 30 years and 49 years (70.3%), married (78.2%), educated (92.12%) and earned an income less than or equal to 200,000 Naira per quarter year (55.8%). The mean age, household size, estimated farm income and farm size were 41 years, 8 persons, 198,352 Naira per quarter year and 1.93 hectares respectively. The result of the regression showed that there was a significant effect of age (β = 15.674; p < 0.05), household size (β = 8.897; p < 0.1), farm size (β = 1.016; p < 0.01), periods of incapacitation due to malaria (β = -0.894; p < 0.01) and total income lost due to malaria (β = -0.735; p < 0.01) on total annual income of rural households in Barkin Ladi LGA, Plateau State, Nigeria. It was concluded that malaria had negative consequence on the rural households' farm income. It was recommended that there should be intervention programs should promote the awareness of about malaria and the measures to combat it for an effective prevention and control of the malaria.
“…This implied that income loss to malaria among rural farming households tends to be an economic burden and has widely reduced the efficiency of the rural farming households as there will be unproductive income diversification in which resources are diverted to treating the endemic disease. This is in line with Ogunniyi, Kehinde, and Adewuyi, (2015) in their work which stated that income loss has an inverse relationship with the productivity of rural farming households. Furthermore, Oyibo et al, (2020) also stated that the income loss of farming households could lead to households reducing farm area and planting less laborintensive crops.…”
The study was carried out to analyze the effect of malaria on rural households' farm income in Barikin Ladi Local Government Area, Plateau State, Nigeria. Data were obtained from a multi-stage random sampling of one hundred and sixty-five rural farming household heads through the use of a wellstructured questionnaire. The data were analyzed using descriptive statistics and linear regression analysis. The descriptive statistics results showed that a majority of the respondents were male (73.9%), between the age brackets of 30 years and 49 years (70.3%), married (78.2%), educated (92.12%) and earned an income less than or equal to 200,000 Naira per quarter year (55.8%). The mean age, household size, estimated farm income and farm size were 41 years, 8 persons, 198,352 Naira per quarter year and 1.93 hectares respectively. The result of the regression showed that there was a significant effect of age (β = 15.674; p < 0.05), household size (β = 8.897; p < 0.1), farm size (β = 1.016; p < 0.01), periods of incapacitation due to malaria (β = -0.894; p < 0.01) and total income lost due to malaria (β = -0.735; p < 0.01) on total annual income of rural households in Barkin Ladi LGA, Plateau State, Nigeria. It was concluded that malaria had negative consequence on the rural households' farm income. It was recommended that there should be intervention programs should promote the awareness of about malaria and the measures to combat it for an effective prevention and control of the malaria.
“…Malaria costs Africa more than 12 billion dollars annually and it slowed economic growth in African countries by as much as 1.3% per year as shown by Adebayo et al [6]. When malaria attacks farmers, their health is hampered, resulting to the reduction of agricultural production.…”
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 shows that the respondents on the average were 40 years old, earned monthly net income of N24,184.00 ($121.38) and spent 11 years in schooling. More results indicated that while the ownership of the net was as high as 71.73%, the actual utilization was as low as 28.27%. Result of multiple regression analysis indicated a multiple determination (R 2 ) value of 0.6333. Determinants of the utilization of the net were age, sex, occupation and educational level of the respondents. The two major constraints in the utilization of the net in the area were inadequate information and poor design and inconvenience of hanging. In order to improve the rate of utilization of the net in the area, the study recommends enhanced information which will lead to a better education of the beneficiaries. A better design which will reduce the inconveniences associated with hanging of the nets is also recommended.
“…This is because a sick farmer cannot go to farm to work or abandon their farm activities (Fanello and Baker, 2010). According to Oguniyi et al, (2015) malaria is not only a health problem, it is also an economic problem as it affects household income, productivity and their assets acquisition capacity. Farmers' financial resources are expended on treatment of malaria and prevention of the vector as well as its parasite.…”
Section: Introductionmentioning
confidence: 99%
“…The loss to households may however be greater with the current trend in malaria resistance to traditional first-line drugs. Such loss according to Oguniyi et al (2015) has serious implication for poor household who are already malnourished, who live under pitiable condition and who constitute over 65% of the nation's population. The malaria disease will affect the physical and intellectual capacity of the farming house-hold with fever, headaches and other physical symptoms household suffer due to scarce medical service, thereby affecting finances for maize farming.…”
The study examined the effect of malaria incidence on farming households` maize productivity in Idah Local Government Area of Kogi State, Nigeria. Primary data was used to achieve the research objectives. A multi-stage random sampling technique was used in selecting 120 respondents. Structured questionnaire was used to collect the required data. Data obtained were analyzed using descriptive statistics, Ordinary least square regressions. Results from the findings showed that 77.5% of the respondents were male with a mean age of 50 years. The respondents had a mean household size of 9 members and 47.50% of the respondents have access to credit facilities. The results showed that bushes (77.5%), house close to river (45.83%), work when it is sunny (45.83), house close to stagnant water (40.0%) were the factors responsible for malaria incidence. Headache (92.5%), body pain (89.17%), tiredness (82.50%), heat (81.67%), coldness (67.5%) were the common malaria symptoms among the farming households in the study area. OLS multiple regression showed that day’s incapacitation (β=-254.1) and frequency of malaria illness were significant (β=-1214.2) both statistically significant at 1%. The study concluded that malaria incidence had significant effect on maize productivity in the study area. The study recommends that farmers should be encouraged to keep their surrounding clean in order to avoid breeding of mosquitoes. Medication that can reduce the days of incapacitation should be made available to farmers at affordable prices in order to improve the quality of life and farmers’ productivity.
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