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Application of Logistic Regression Model to Identify Potential Risk Factors of Malaria in Rwanda using 2010 Demographic and Health Survey

  • Zeleke, Girum Taye
  • Egide, HATEGEKIMANA
  • Francois, TWIZEYIMANA
Women living in malarial areas and who are pregnant for the first or second time are more likely to become infected with malaria. This brings severe anemia causing weakness and tiredness for the mother, and slows the growth of the baby. In 2010, malaria control efforts in Rwanda resulted in a substantial decline in malaria morbidity and mortality; with only 663,785 reported cases, of which 96% were laboratory confirmed. Malaria-attributed morbidity decreased from 15.9% in 2009 to 7.8% in 2010. The data which is used for this study is obtained from Household member recode of 2010 Demographic and Health Survey. Our general objective was to identify potential risk factors of malaria among individuals in Rwanda using 2010 Demographic and Health Survey (DHS). To achieve this objective, we used logistic regression model. Among the total women tested for Malaria in the survey, 11843(99%) were Malaria negative and119(1%) were Malaria positive. The p-values and the 95% confidence interval for Odds Ratio indicate that there is association between age group, gender and province, place of residence and level of education with malaria status. The calculated odd ratio, 9.427 from province implies that the probability of being infected by Malaria is 9.427times more likely in Eastern province compared to Kigali City. In general the most affected is Eastern Province followed by Southern Province. The odds ratio 2.623 from place of residence is interpreted as the probability of being infected by Malaria is2.623times more likely in rural compared to urban. As a conclusion, all of the independent variables are the potential risk factors for malaria among individuals in Rwanda. And we recommend that more attention should be given for individuals aged less than 15 years, not educated or in pre-school, lived in rural areas and Eastern province since the prevalence of malaria is more compared to other categories.
Select Volume / Issue:
Year:
2015
Type of Publication:
Article
Keywords:
Logistic Regression Model; Risk Factors; Odds Ratio; Demographic; Health Survey
Journal:
IJASM
Volume:
2
Number:
3
Pages:
50-54
Month:
May-June
ISSN:
2394-2894
Hits: 1351

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