| Literature DB >> 18667091 |
Peter N Ng'ang'a1, Josephat Shililu, Gayathri Jayasinghe, Violet Kimani, Charity Kabutha, Lucy Kabuage, Ephantus Kabiru, John Githure, Clifford Mutero.
Abstract
BACKGROUND: Malaria transmission in most agricultural ecosystems is complex and hence the need for developing a holistic malaria control strategy with adequate consideration of socio-economic factors driving transmission at community level. A cross-sectional household survey was conducted in an irrigated ecosystem with the aim of investigating vector control practices applied and factors affecting their application both at household and community level.Entities:
Mesh:
Substances:
Year: 2008 PMID: 18667091 PMCID: PMC2517075 DOI: 10.1186/1475-2875-7-146
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Figure 1Map of Mwea Division with arrows indicating the four study villages.
Perceived causes of malaria
| % | χ2 Test | |||||
| Village | Age | Gender | Education | Occupation | ||
| Working in the sun | 0.8 | 0.225 | 0.911 | 0.966 | 0.143 | 0.227 |
| Long rains/Being rained on | 12.5 | 0.000 | 0.908 | 0.709 | 0.093 | 0.061 |
| Wet and cold condition | 10.6 | 0.363 | 0.715 | 0.870 | 0.942 | 0.275 |
| Working in rice paddies | 3 | 0.451 | 0.174 | 0.930 | 0.083 | 0.255 |
| Mosquito bite | 94.6 | 0.154 | 0.000 | 0.914 | 0.850 | 0.973 |
| Eating raw foods/mangoes | 5.2 | 0.000 | 0.804 | 0.001 | 0.443 | 0.204 |
| Evil spirit/Demons/Witchcraft | 0.3 | 0.127 | 0.981 | 0.644 | 0.626 | 0.953 |
| Taking dirty/Polluted water | 4.1 | 0.081 | 0.009 | 0.648 | 0.210 | 0.850 |
| From another person with malaria | 0.8 | 0.479 | 1 | 0.687 | 0.805 | 0.382 |
| Stagnant water | 16 | 0.467 | 0.532 | 0.430 | 0.122 | 0.113 |
| Dirty home surroundings/Environment | 4.6 | 0.019 | 0.699 | 0.689 | 0.316 | 0.283 |
| Don't know | 1.1 | 0.532 | 0.000 | 0.687 | 0.135 | 0.846 |
| Others | 2.4 | 0.001 | 0.002 | 0.432 | 0.404 | 0.620 |
Knowledge of vector breeding habitats
| % | χ2 Test | |||||
| Village | Age | Gender | Education | Occupation | ||
| In stagnant water | 83.1 | 0.233 | 0.782 | 0.320 | 0.054 | 0.104 |
| In vegetations outside the house | 50.5 | 0.030* | 0.796 | 0.060 | 0.042* | 0.191 |
| In rice paddies | 37.4 | 0.000* | 0.945 | 0.016 | 0.351 | 0.158 |
| In water canals | 10.9 | 0.006* | 0.345 | 0.228 | 0.140 | 0.235 |
| In animal pens | 10.7 | 0.001* | 0.763 | 0.381 | 0.851 | 0.026* |
| Rubbish Pits/Latrines/Cess pits | 16.1 | 0.000* | 0.049 | 0.109 | 0.074 | 0.085 |
| In dark places | 23.2 | 0.006* | 0.727 | 0.601 | 0.693 | 0.535 |
| Don't know | 1.6 | 0.673 | 0.009* | 0.567 | 0.116 | 0.641 |
| Others | 3.8 | 0.378 | 0.056 | 0.922 | 0.758 | 0.699 |
*Significant
Personal protection methods applied at household level
| % | χ2 Test | ||||||
| Village | Age | Gender | Education | Occupation | Religion | ||
| Untreated mosquito net | 34.9 | 0.000 | 0.849 | 0.502 | 0.552 | 0.090 | 0.162 |
| Treated Mosquito net | 57.2 | 0.002 | 0.077 | 0.037 | 0.000 | 0.090 | 0.203 |
| Insecticide spray | 5.9 | 0.067 | 0.846 | 0.363 | 0.089 | 0.000 | 0.548 |
| Preventive medicine | 11.5 | 0.291 | 0.631 | 0.091 | 0.610 | 0.148 | 0.716 |
| Screen windows & doors | 3.3 | 0.017 | 0.889 | 0.296 | 0.318 | 0.701 | 0.895 |
| Light fire/Coils | 21.1 | 0.000 | 0.866 | 0.372 | 0.278 | 0.076 | 0.318 |
| Skin repellents | 1.6 | 0.600 | 0.895 | 0.795 | 0.604 | 0.488 | 0.947 |
| Traditional methods | 7.9 | 0.018 | 0.651 | 0.301 | 0.854 | 0.368 | 0.093 |
Figure 2Environmental management practices at household level.