Spatial distribution of malaria problem in three regions of Ethiopia

Malaria Journal

Research

Dawit G Ayele¹  Henry G Mwambi¹  Temesgen T Zewotir¹ 

[1] School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, 3209, Scottsville, South Africa;

关键词: Mixed model;    Rapid diagnostic test;    Spatial statistics;    Variogram;    Kriging;   

DOI  :  10.1186/1475-2875-12-207

 received in 2012-12-17, accepted in 2013-06-11,  发布年份 2013

来源: Springer

【 摘 要 】

BackgroundThe transmission of malaria is the leading public health problem in Ethiopia. From the total area of Ethiopia, more than 75% is malarious. The aim of this study was to identify socio-economic, geographic and demographic risk factors of malaria based on the rapid diagnosis test (RDT) survey results and produce the prevalence map of the area illustrating variation in malaria risk.MethodsThis study accounts for spatial correlation in assessing the effects of socio- economic, demographic and geographic factors on the prevalence of malaria in Ethiopia. A total of 224 clusters of about 25 households each were selected from the Amhara, Oromiya and Southern Nation Nationalities and People’s (SNNP) regions of Ethiopia. A generalized linear mixed model with spatial covariance structure was used to analyse the data where the response variable was the presence or absence of malaria using the RDT.ResultsThe results showed that households in the SNNP region were found to be at more risk than Amhara and Oromiya regions. Moreover, households which have toilet facilities clean drinking water, and a greater number of rooms and mosquito nets in the rooms, have less chance of having household members testing positive for RDT. Moreover, from this study, it can be suggested that incorporating spatial variability is necessary for understanding and devising the most appropriate strategies to reduce the risk of malaria.

【 授权许可】

CC BY   
© Ayele et al.; licensee BioMed Central Ltd. 2013