| dc.description.abstract | The major aim of this study was to analyze the predictors of mosquito net use among female headed households. The data used in this study was quantitative data obtained from the Uganda Demographic and Health Survey of 2016. The survey indicates that data used in this study was obtained from 18,010 female headed households. Data analysis was carried out using Stata software which involved the use of Chi-square test, and multivariate logistic regression model. From the analysis made, having completed primary, secondary, higher level of education, being an Anglican, Catholic, Muslim, Seventh-day Adventist, living in South Buganda, Teso, Lango, Acholi, West nile, Bunyoro, Kigezi, listening to radio, being in the middle, fourth, highest wealth indicies have statistically significant impact to increase the chances of mosquito net use among female headed households since their p-values were less than 0.05 at 5% level of significance. Increasing the above statistically significant predictor variables is more likely to increase the chances of mosquito net use. On the other hand, Marital status (No longer living together), number of household members, age of household head, living in Busoga, Bukedi, Rural residence, watching television less than once a week were statistically significant but they are less likely to increase the chances of mosquito net use among female headed households even though their p-values were less than 0.05 at 5% level of significance. Increasing the above predictor variables is less likely to increase the chances of mosquito net use among female headed households. The study recommended improvement on the education levels to decrease risk and vulnerability, and continuous use of media such as radios to provide information to the public regarding the various ways of curbing the malaria disease including mosquito net use. | en_US |
