2017
DOI: 10.1016/j.sste.2017.02.003
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Modelling and forecasting spatio-temporal variation in the risk of chronic malnutrition among under-five children in Ghana

Abstract: Our spatio-temporal model captured variations in childhood stunting over place and time. Our method facilitates and enriches modelling and forecasting of future stunting prevalence to identify areas at high risk. Improving maternal education could be given greater consideration within an overall strategy for addressing childhood malnutrition.

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Cited by 34 publications
(52 citation statements)
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References 26 publications
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“…Our study supports the findings of others that reported geographical differences in health outcomes such as prostate and lung cancers, malaria, malnutrition, mortality among others [5,7,[23][24][25]30].…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Our study supports the findings of others that reported geographical differences in health outcomes such as prostate and lung cancers, malaria, malnutrition, mortality among others [5,7,[23][24][25]30].…”
Section: Discussionsupporting
confidence: 92%
“…This is critical because residential location of people could act as a marker for the socioeconomic, personal, and climatic/environmental factors that influence access to healthcare services and the general health of the people. Thus, spatial modelling and mapping provides the required tools to obtain an improved understanding of health outcomes of people by place for targeted public health interventions[7,[23][24][25][26][27]. The predicted…”
mentioning
confidence: 99%
“…Increase in the likelihood of severe stunting observed among older ages of children in this study supports previous studies [1,4,28,40,42,59]. A plausible explanation could be a deficit in timely and adequate complementary feeding and presence of progressive childhood diseases [1,4,28,59]. The finding that the children who were born small at birth had higher likelihood of severe stunting is consistent with previous studies.…”
Section: Quantile Plots Of Covariate Effects For the Ranges Of 010 Tsupporting
confidence: 92%
“…Majority of the studies [1,4,[16][17][18][19] conducted to examine risk factors of under-five malnutrition in Ghana used statistical models which might not be optimal to inform targeted nutrition policies and interventions because they could not give much information about the underlying associations, not robust to statistical outliers and lacks flexibility in analysing the determinants of nutritional status. For example, modelling the mean as in the ordinary linear regression models could miss critical aspects of the relationship that may exist between the nutritional status and its determinants, especially in the presence of skewed data as is usually the case with anthropometric data [20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…This is in the expected direction because higher level of maternal education is likely to result in improved health seeking behaviour and utilization of health services for their offspring and themselves, and this is expected to improve the health outcomes of both the children and their mothers. It is also expected to result in optimal childcare and feeding practices with its resultant improved health outcomes for the child [3,[17][18][19]. U5M is significantly higher among children born multiple compared to those born singleton which could be due to competition for nutrients and health complications that usually occur more among children who are products of multiple births [3,17,19,20].…”
Section: Discussionmentioning
confidence: 99%