"A comparative analysis of risk factors of malaria" case study Gisagara and Bugesera District of Rwanda. RDHS 2014/2015. A retrospective study

• Main Authors: Emmanuel Kubana (Author), Athanase Munyaneza (Author), Steven Sande (Author), Felix Nduhuye (Author), Jean Bosco Karangwa (Author), David Mwesigye (Author), Emmanuel Ndagijimana (Author), Samuel Habimana (Author), Cyprien Munyanshongore (Author)
• Format: Book
• Published: BMC, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12889-023-15104-0; 1471-2458
• Keywords: CHWs; ICCM IRS; LLITN; Malaria; Reduced logistic regression; RDHS 2014/2015; Public aspects of medicine; RA1-1270
• Source: BMC Public Health, Vol 23, Iss 1, Pp 1-9 (2023)

Abstract Background Malaria is a public health concern worldwide. A figure of 3.2 billion people is at risk of malaria a report of World Health Organization in 2013. A proportion of 89 and 91 cases of malaria reported during 2015 were respectively attributed to malaria cases and malaria deaths in Sub-Saharan Africa. Rwanda is among the Sub-Saharan Africa located in East Africa. The several reports indicate that from 2001 to 2011, malaria cases increased considerably especially in Eastern and Southern Province with five million cases. The affected districts included Bugesera in the Eastern and Gisagara in the Southern Province of Rwanda with a share of 41% of the country prevalence in 2014 and during 2017-2018 a figure of 11 deaths was attributed to malaria and both Gisagara and Bugesera Districts were the high burdened. Methodology The RDHS 2014-2015 data was used for the study and a cross-sectional survey was used in which two clusters were considered both Gisagara and Bugesera Districts in the Southern and Eastern Province of Rwanda. Bivariate analysis was used to determine the significant predictors with malaria and reduced logistic regression model was used. Results The results of the study show that not having mosquito bed nets for sleeping is 0.264 times less likely of having malaria than those who have mosquito bed nets in Gisagara District. In Bugesera District, living in low altitude is 2.768 times more likely associated with the risk of getting malaria than living in high altitude. Conclusion The results of the study concluded that environmental and geographical factor such as low altitude is the risk factor associated with malaria than the high altitude in Bugesera District. While not having mosquito bed nets for sleeping is the protective factor for malaria than those who have it in Gisagara District. On the other hand, socio-economic and demographic characteristics do not have any effect with malaria on the results of the study.