health status of farming households and crop productivity ... · •the study discover high...
Post on 27-Sep-2020
0 Views
Preview:
TRANSCRIPT
Aderonke Bashirat MOHAMMED; Olugbenga Ayodeji MOKUOLU;Matthew Olayemi ADEWUMI
Health Status of Farming Households and Crop
Productivity: Evidence from Malaria Infected
Households in Nigeria
ABU Zaria
…Ensuring a well fed and Healthy Nation free of hunger and Diseases 2
Problem Statement
Malaria affect majorly
impoverished, malnourished and most vulnerable
within the populationAgricultural
development is worsened by malaria
impact on farming households Most studies on
malaria impact on agriculture had been
largely inferential.
the question is does malaria really impact
badly on crop productivity or not?
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Determine the effect of malaria on crop productivity in a longitudinal cohort of farming households in the study area
Specific objectives
Determine the incidence of malaria in the Kabba /Bunu LGA
Compare crop productivity among households based on malariaincidence;
Identify the determinants of malaria incidence among farminghouseholds; and
Assess the intensity and determinant of welfare loss among malaria-affected households
3
Objectives of the study
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Create Surveya Collect Datab Analyzed Resultc
4
Study Area: Kabba/Bunu Local Government Area of
Kogi State in Nigeria
Location Sample Method Monthly farm Visit
Kabba/Bunu 72 Farming Households Rapid Diagnostic Test (RDT) Farming and C/Service
Tools of Data Analysis
…Ensuring a well fed and Healthy Nation free of hunger and Diseases 5
Sample and result Collection from Households
Analytical Techniques
Descriptive statistics
Inferential statistics,
Ordinary Least
Squares
Binary Logistic
regression model
…Ensuring a well fed and Healthy Nation free of hunger and Diseases 6
Fig 1: Cropping Pattern of Farmers in the Sample
Communities
Maize Cowpea
Intercropping
Maize
Millet
Cowpea
37.5%
79.7%
Major Crops Cultivated by Farmers
Maize
Sorghum
Intercrop
ping
Bambara
Nut
34.7%
Sorghum
31.9%
19.4%
40.3%23.6%
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Table 1: Distribution of 358 Episodes of malaria by Household
composition
Month Children Male AdultFemale
Adult
Total (% Monthly
contribution)
May 39 13 12 64 (17.9)
June 25 8 8 41(11.5)
July 21 13 6 40 (11.2)
August 21 12 11 44 (12.3)
September 5 10 8 23 (6.4)
October 44 18 16 78 (21.8)
November 26 12 6 44 (12.3)
December 15 5 4 24 (6.7)
Total 196 (55%) 91 (25%) 71 (20%) 358 (100)
…Ensuring a well fed and Healthy Nation free of hunger and Diseases 8
Fig2:Severity of malaria in 72-households
with Malaria
High Malaria 86%
Low Malaria14%
9
Fig3: Malaria Morbidity and Crop Productivity
7500
6700
4900
6000
3200
0
1000
2000
3000
4000
5000
6000
7000
8000
MAIZE MILLET SORGUM COWPEA BAMBARA NUT
Average Crop Yield Per Farming Household
High Malaria infectedHousehold
Low Malaria InfectedHousehold
15
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Table 2: T-test Comparing the Output Level Of High And Low Malaria
Household
Malaria Incidence Mean (SD) T-value P-value
High 4258 (1764)
3.030 0.039
Low 5660 (1674)
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Table3: Determinants of malaria infected farming
households
Variable CoefficientStandard
ErrorP. value
Odds
Ratio
95% Conf.
Interval
Sex 0.820 0.765 0.284 2.271 .507 10.173
Age 0.026 0.030 0.382 1.027 .968 1.089
Use of Mosquito
net *-1.523 0.669 0.023 0.218 .059 .810
Education * -2.035 0.648 0.002 0.131 .037 .465
Constant 0.145 1.708 0.932 1.156
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Table 4: Welfare Loss of malaria infected Farming
Households
Cost of Malaria Incidence Naira (₦)
Imputed cost of day loss 122,333
Cost of treatment 18,132
Cost of prevention 36,292
Cost of care given 2,132
Welfare loss 148,888 (US $409.03)
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
Table 5: OLS Results of the Determinant of Welfare
LossMALARIA INCIDENCE
Variables Coefficient t-value p-value
Constant 10559.678 0.843 0.402
Adjusted household size 7404.556 4.012*** 0.000
Level of education -8881.271 -4.956*** 0.000
Malaria incidence 84374 6.685*** 0.000
Use of mosquito net -1260.17 -2.727*** 0.008
R2 0.543 0 0
F 19.940
14
0
10
20
30
40
50
60
use of mosquito
coil
clearing of busy
enviroment
sleeping under
mosquito net
use of anti-
malaria drug
use of home
made medicinal
herbs
*There were multiple measures used by some of the households
Fig 4 : Protective Measures Used to Reduce Malaria
Incidence in the Study Area*
…Ensuring a well fed and Healthy Nation free of hunger and Diseases
•The study discover high incidence of malaria among farming householdsespecially among children.
•Significant variables associated with malaria incidence were identified.
• The results show that LMIH are more productive than HMIH.
•The use of malaria control measures impacted greatly on the variabilityin the level of output.
•Need for Creating awareness on the use of insecticide treated mosquitonet,
•Targeting the area for free net distribution and training on utilization willreduce malaria incidence and increase crop productivity
Summary, Conclusion and Recommendation
16
Thank you
top related