A Bayesian belief network modelling of household factors influencing the risk of malaria: A study of parasitaemia in children under five years of age in sub-Saharan Africa
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- 作者：Henry Musoke Semakulaa ; semhm2000@yahoo.co.uk" class="auth_mail" title="E-mail the corresponding author ; Guobao Songa ; gb.song@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Simon Peter Achuub ; acusacu@yahoo.co.uk" class="auth_mail" title="E-mail the corresponding author ; Shushen Zhanga ; zhangss@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Malaria parasitaemia ; Bayesian belief network ; Household factors ; Children ; Sub-Saharan Africa
- 刊名：Environmental Modelling & Software
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：75
- 期：Complete
- 页码：59-67
- 全文大小：930 K
文摘
A Bayesian Belief Networks model is developed from household factors to predict malaria parasitaemia risk among children.
Datasets of Malaria Indicator Survey, Demographic Health Survey and AIDS indicator survey are used to compile the model.
Malaria parasitaemia risk increases in households using borehole water, dug wells and surface water points.
A BBN model can be used in determining key interventions for malaria control.