Determinants of Malaria infection Among Women in Ethiopia

dc.contributor.advisorWencheko, Eshetu(Prof.)
dc.contributor.authorDerbew, Muluken
dc.date.accessioned2022-04-12T07:23:38Z
dc.date.accessioned2023-11-09T14:29:35Z
dc.date.available2022-04-12T07:23:38Z
dc.date.available2023-11-09T14:29:35Z
dc.date.issued2009-06
dc.description.abstractThe problem of malaria disease in Ethiopia is compounded by more frequent epidemics, combined P. vivax and P. falciparum infections, and increasing drug and insecticide resistance. This study examines the association between the socio-economic and demographic and health factors and the malaria infection status among women in Ethiopia using logistic regression models. The study also indicates the facto rs that contribute in explaining the variation of malaria infection status among women across regions. The study is based on 7333 women respondents. The data were obtained from the Central Statistics Agency of the government of Ethiopia in 2005 (EDHS 2005). We use conventional logistic regression modeling to detemline the relationship between the explanatory variables and "malaria infection status" and multilevel logistic regression to see whether there exist variations in malaria infection status as relates to women across the regions of Ethiopia. Malaria infection status among women was modeled using socio-economic and demographic and health variab les as potential predictors. The results of conventional logistic regression model showed that the explanatory variables " region", "currently pregnant", "wealth index", "type of place of residence", "main floor material" and "age" are found to have a significant association with malaria infection status among women in Ethiopia. Similarly, the interaction of the random parts of "age by main floor material" and "main floor material by wealth index" provided signifi cant effect on "malaria infection status" across regions.en_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/31266
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectDeterminants of Malaria infectionen_US
dc.titleDeterminants of Malaria infection Among Women in Ethiopiaen_US
dc.typeThesisen_US

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