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      Spatial trends and projections of chronic malnutrition among children under 5 years of age in Ethiopia from 2011 to 2019: a geographically weighted regression analysis

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          Abstract

          Introduction

          Undernutrition is a serious global health issue, and stunting is a key indicator of children's nutritional status which results from long-term deprivation of basic needs. Ethiopia, the largest and most populous country in Sub-Saharan Africa, has the greatest rate of stunting among children under the age of five, yet the problem is unevenly distributed across the country. Thus, we investigate spatial heterogeneity and explore spatial projection of stunting among under-five children. Further, spatial predictors of stunting were assessed using geospatial regression models.

          Methods

          The Ethiopia Demographic and Health Surveys (EDHS) data from 2011, 2016, and 2019 were examined using a geostatistical technique that took into account spatial autocorrelation. Ordinary kriging was used to interpolate stunting data, and Kulldorff spatial scan statistics were used to identify spatial clusters with high and low stunting prevalence. In spatial regression modeling, the ordinary least square (OLS) model was employed to investigate spatial predictors of stunting and to examine local spatial variations geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models were employed.

          Results

          Overall, stunting prevalence was decreased from 44.42% [95%, CI: 0.425–0.444] in 2011 to 36.77% [95%, CI: 0.349–0.375] in 2019. Across three waves of EDHS, clusters with a high prevalence of stunting in children under 5 years were consistently observed in northern Ethiopia stretching in Tigray, Amhara, Afar, and Benishangul-Gumuz. Another area of very high stunting incidence was observed in the Southern parts of Ethiopia and the Somali region of Ethiopia. Our spatial regression analysis revealed that the observed geographical variation of under-five stunting significantly correlated with poor sanitation, poor wealth index, inadequate diet, residency, and mothers' education.

          Conclusions

          In Ethiopia, substantial progress has been made in decreasing stunting among children under the age of 5 years; although disparities varied in some areas and districts between surveys, the pattern generally remained constant over time. These findings suggest a need for region and district-specific policies where priority should be given to children in areas where most likely to exhibit high-risk stunting.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s41043-022-00309-7.

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          Most cited references28

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          Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

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            Multiscale Geographically Weighted Regression (MGWR)

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              GIS and health care.

              GIS and related spatial analysis methods provide a set of tools for describing and understanding the changing spatial organization of health care, for examining its relationship to health outcomes and access, and for exploring how the delivery of health care can be improved. This review discusses recent literature on GIS and health care. It considers the use of GIS in analyzing health care need, access, and utilization; in planning and evaluating service locations; and in spatial decision support for health care delivery. The adoption of GIS by health care researchers and policy-makers will depend on access to integrated spatial data on health services utilization and outcomes and data that cut across human service systems. We also need to understand better the spatial behaviors of health care providers and consumers in the rapidly changing health care landscape and how geographic information affects these dynamic relationships.
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                Author and article information

                Contributors
                biniyamt@du.edu.et
                Journal
                J Health Popul Nutr
                J Health Popul Nutr
                Journal of Health, Population, and Nutrition
                BioMed Central (London )
                1606-0997
                2072-1315
                5 July 2022
                5 July 2022
                2022
                : 41
                : 28
                Affiliations
                [1 ]GRID grid.472268.d, ISNI 0000 0004 1762 2666, School of Public Health, College of Health Science and Medicine, , Dilla University, ; P.O. Box 419, Dilla, Ethiopia
                [2 ]Department of Health Informatics, Arbaminch University, Arbaminch, Ethiopia
                [3 ]GRID grid.472268.d, ISNI 0000 0004 1762 2666, Department of Public Management and Policy, , Dilla University, ; Dilla, Ethiopia
                [4 ]GRID grid.472268.d, ISNI 0000 0004 1762 2666, Department of Nursing, , Dilla University, ; Dilla, Ethiopia
                Article
                309
                10.1186/s41043-022-00309-7
                9254552
                34980283
                687ebc2e-3333-481f-b09c-a08ee12f774f
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 April 2022
                : 26 June 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Nutrition & Dietetics
                chronic malnutrition,stunting,under-five children,spatial,geospatial,geographically weighted regression (gwr),multiscale geographically weighted regression (mgwr),ethiopia

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